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ORCIDIJCNN 2020: Glasgow, UK
- 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020. IEEE 2020, ISBN 978-1-7281-6926-2
- Stanislaw J. Purgal:
Improving Expressivity of Graph Neural Networks. 1-7 - Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. 1-8 - Gitesh Dawer, Yangzi Guo, Adrian Barbu:
Generating Compact Tree Ensembles via Annealing. 1-8 - Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite Dantas Bezerra
, Bruno José Torres Fernandes, Donato Impedovo:
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation. 1-7 - Ying Chen, Jingwei Zheng, Dagang Li:
Sparse Attributed Network Embedding via Adaptively Aggregating Neighborhood Information. 1-8 - Julio J. Valdés, Ljubomir Nikolic, Simone Disabato, Manuel Roveri:
A Computational Intelligence Characterization of Solar Magnetograms. 1-8 - Daniele Castellana, Davide Bacciu:
Generalising Recursive Neural Models by Tensor Decomposition. 1-8 - Indu John, Shalabh Bhatnagar:
Deep Reinforcement Learning with Successive Over-Relaxation and its Application in Autoscaling Cloud Resources. 1-6 - Tomoyuki Togawa, Toshimichi Saito:
Connection Sparsification and Orbit Stabilization of Dynamic Binary Neural Networks based on Multiobjective Evolutionary Algorithms. 1-6 - Samuel Spillane, Kristopher H. Jung, Kate Bowers, Ture Peken, Michael M. Marefat, Tamal Bose:
Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications. 1-8 - Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent:
Minority Oversampling Using Sensitivity. 1-7 - Victor Henrique Alves Ribeiro, Pedro H. L. S. P. Domingues, Paulo Rodrigo Cavalin, Gilberto Reynoso-Meza, Helon Vicente Hultmann Ayala, Luís Fernando Alzuguir Azevedo:
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines. 1-8 - Hao Cheng, Kaijie Wu, Kai Ma, Jie Tian, Rui Xu, Chaochen Gu, Xinping Guan:
Double Attention for Pathology Image Diagnosis Network with Visual Interpretability. 1-8 - Amrut Sekhar Panda, Ravi Prakash, Laxmidhar Behera, Ashish Dutta:
Combined Online and Offline Inverse Dynamics Learning for a Robot Manipulator. 1-7 - Siyuan Chen, Julien Epps:
Multimodal Event-based Task Load Estimation from Wearables. 1-9 - Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun:
Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. 1-10 - Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Alexey Khorkin, Grigory V. Osipov:
Problems of representation of electrocardiograms in convolutional neural networks. 1-6 - Abdulrahman Altahhan:
True Online TD(λ)-Replay An Efficient Model-free Planning with Full Replay. 1-7 - Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu:
TULSN: Siamese Network for Trajectory-user Linking. 1-8 - Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang:
Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. 1-8 - Dong Chen, Miaomiao Cheng, Chen Min, Liping Jing:
Unsupervised Deep Imputed Hashing for Partial Cross-modal Retrieval. 1-8 - Amina Asif, Fayyaz ul Amir Afsar Minhas:
Generalized Neural Framework for Learning with Rejection. 1-8 - Zhenlin Fan, Guoqiang Zhong, Hongxu Wei, Haitao Li:
EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data. 1-7 - Nan Zhou, Wenjian Luo, Xin Lin, Peilan Xu, Zhenya Zhang:
Generating Multi-label Adversarial Examples by Linear Programming. 1-8 - Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. 1-7 - Mun Kit Ho, Sivanagaraja Tatinati, Andy W. H. Khong:
Distilling Essence of a Question: A Hierarchical Architecture for Question Quality in Community Question Answering Sites. 1-7 - Manuel Baltieri:
A Bayesian perspective on classical control. 1-8 - Linshan Shen, Shaobin Huang, Xiangke Mao:
A reputation-enhanced model for trust-based collaborative filtering recommender system. 1-7 - Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio:
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. 1-9 - Zishan Ahmad, Mukuntha N. S., Asif Ekbal, Pushpak Bhattacharyya:
Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation. 1-8 - Karliane M. O. Vale, Flavius L. Gorgônio, Yago N. Araújo, Arthur C. Gorgônio, Anne Magály de Paula Canuto:
A Co-Training-based Algorithm Using Confidence Values to Select Instances. 1-7 - Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. 1-8 - Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings:
Mapping and Masking Targets Comparison using Different Deep Learning based Speech Enhancement Architectures. 1-8 - Fayez Alharbi, Lahcen Ouarbya, Jamie A. Ward:
Synthetic Sensor Data for Human Activity Recognition. 1-9 - Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev:
Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting. 1-6 - Mohammed Bany Muhammad, Mohammed Yeasin:
Eigen-CAM: Class Activation Map using Principal Components. 1-7 - Florian Mirus, Terrence C. Stewart, Jörg Conradt:
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. 1-8 - Sheng Wei Pang, Chai Quek, Dilip K. Prasad:
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks. 1-8 - Paulo Lacerda, José González, Nazareth Rocha, Flávio Luiz Seixas, Célio Albuquerque, Esteban Clua, Aura Conci:
A Parallel Method for Anatomical Structure Segmentation based on 3D Seeded Region Growing. 1-6 - Varun Bhatt, Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly:
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix. 1-8 - Zhong-Qiu Zhao, Yue-Lin Sun, Nan-Xun Wang, Weidong Tian:
Extricating from GroundTruth: An Unpaired Learning Based Evaluation Metric for Image Captioning. 1-8 - Yuxuan Sun, Keying Chen, Lin Sun, Chenlu Hu:
Attention-based Deep Learning Model for Text Readability Evaluation. 1-8 - Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. 1-8 - Zhen Wang, Qiansheng Wang, Chengguo Lv, Xue Cao, Guohong Fu:
Unseen Target Stance Detection with Adversarial Domain Generalization. 1-8 - Yu Quan, Zhixin Li, Canlong Zhang, Huifang Ma:
Object Detection by Integrating Scene-Level Semantic Information and Border Regression Reinforcement. 1-8 - Wei Hong Chin, Nuo Wi Noel Tay, Naoyuki Kubota, Chu Kiong Loo:
A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System. 1-6 - Mario I. Chacon Murguia, Eduardo Rivas-Posada:
Feature Extraction Evaluation for Two Motor Imagery Recognition Based on Common Spatial Patterns, Time-Frequency Transformations and SVM. 1-7 - Paula Carroll:
Exploring Smart Grid Time-of-Use Tariffs using a Robust Optimisation Framework. 1-6 - Eduardo Castro, José Costa Pereira, Jaime S. Cardoso:
Soft Rotation Equivariant Convolutional Neural Networks. 1-8 - Jun Niu:
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network. 1-8 - Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar:
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. 1-8 - Azzeddine Rachid Benaissa, Azza Harbaoui, Henda Hajjami Ben Ghézala:
Classification of Cyberbullying Text in Arabic. 1-7 - Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya:
Improving Diversity and Reducing Redundancy in Paragraph Captions. 1-8 - Maksim Podkorytov, Daniel Bis, Jinglun Cai, Kobra Amirizirtol, Xiuwen Liu:
Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT. 1-8 - Joohi Chauhan, Puneet Goyal:
Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis. 1-8 - Zezheng Zhang, Matloob Khushi:
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. 1-8 - Johny Moreira, Chaina Oliveira, David Macêdo, Cleber Zanchettin, Luciano Barbosa:
Distantly-Supervised Neural Relation Extraction with Side Information using BERT. 1-7 - Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai:
Graph Convolutional Extreme Learning Machine. 1-8 - Alexis Juven, Xavier Hinaut:
Cross-Situational Learning with Reservoir Computing for Language Acquisition Modelling. 1-8 - Nozomu Ohta, Shin Kawai, Hajime Nobuhara:
Analysis and Learning of Capsule Networks Robust for Small Image Deformation. 1-7 - Emna Amri, Alexandre Benoît, Philippe Bolon, Véronique Miegebielle, Bruno Conche, Georges Oppenheim:
Offshore Oil Slicks Detection From SAR Images Through The Mask-RCNN Deep Learning Model. 1-8 - Oleg A. Kuzenkov, Andrew Morozov, Galina Kuzenkova:
Machine learning evaluating evolutionary fitness in complex biological systems. 1-7 - Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile:
On the automatic calibration of fully analogical spiking neuromorphic chips. 1-8 - Aleksandra Maria Osowska-Kurczab, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent:
Textural and deep learning methods in recognition of renal cancer types based on CT images. 1-8 - István Megyeri, István Hegedüs, Márk Jelasity:
Adversarial Robustness of Model Sets. 1-8 - Sergey V. Sidorov, Nikolai Yu. Zolotykh:
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer. 1-6 - Abbas Raza Ali:
Multi-Dialect Arabic Speech Recognition. 1-7 - Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. 1-9 - Luca Verderame, Davide Caputo, Andrea Romdhana, Alessio Merlo:
On the (Un)Reliability of Privacy Policies in Android Apps. 1-9 - Arthur Bridi Guazzelli, Mauro Roisenberg, Bruno Barbosa Rodrigues:
Efficient 3D Semantic Segmentation of Seismic Images using Orthogonal Planes 2D Convolutional Neural Networks. 1-8 - Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi:
Capsule Deep Generative Model That Forms Parse Trees. 1-8 - Kaige Wang, Qingyu Xiong, Chao Wu, Min Gao, Yang Yu:
Multi-modal cyberbullying detection on social networks. 1-8 - Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Francisco H. S. Silva, Gabriel Maia Bezerra, Pedro P. R. Filho:
Adaptive Level Set with region analysis via Mask R-CNN: A comparison against classical methods. 1-8 - Sanjana Sinha, Sandika Biswas, Brojeshwar Bhowmick:
Identity-Preserving Realistic Talking Face Generation. 1-10 - Anmol Bhasin, Gaurav Mathur, Promod Yenigalla, Bharatram S. Natarajan:
Phoneme based Domain Prediction for Language Model Adaptation. 1-6 - Jen-Tzung Chien, Chih-Jung Tsai:
Amortized Mixture Prior for Variational Sequence Generation. 1-6 - Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani:
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. 1-7 - Stefan Duffner, Christophe Garcia:
Multiple Instance Learning for Training Neural Networks under Label Noise. 1-7 - Guan-Ru Huang, Tien-Ruey Hsiang:
A Simplified Deep Network Architecture on Optic Cup and Disc Segmentation. 1-7 - Daniel Gibert, Carles Mateu, Jordi Planes:
Orthrus: A Bimodal Learning Architecture for Malware Classification. 1-8 - Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay:
Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. 1-8 - Yundong Li, Chen Lin, Wei Hu, Han Dong:
Improving Feature's Capability of Carrying Category-specific Information for Adversarial Domain Adaptation. 1-8 - Daniele Salvati, Carlo Drioli, Gian Luca Foresti:
Two-Microphone End-to-End Speaker Joint Identification and Localization Via Convolutional Neural Networks. 1-6 - Shiori Kuramoto, Hideyuki Sawada, Pitoyo Hartono:
Visualization of topographical internal representation of learning robots. 1-7 - Purbaditya Bhattacharya, Udo Zölzer:
Convolutional Neural Network with Inception Blocks for Image Compression Artifact Reduction. 1-8 - Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering:
The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. 1-8 - Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Pablo Rengifo-Moreno, Zhe He:
DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. 1-8 - Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros:
Component Analysis for Visual Question Answering Architectures. 1-8 - César Montenegro, Roberto Santana, José Antonio Lozano:
Transfer learning in hierarchical dialogue topic classification with neural networks*. 1-8 - Arun M. George, Dighanchal Banerjee, Sounak Dey, Arijit Mukherjee, P. Balamurali:
A Reservoir-based Convolutional Spiking Neural Network for Gesture Recognition from DVS Input. 1-9 - Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen:
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. 1-8 - Essam Soliman Debie, Nour Moustafa, Monica T. Whitty:
A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals. 1-8 - Raghu Yelugam, Leonardo Enzo Brito da Silva, Donald C. Wunsch:
TopoBARTMAP: Biclustering ARTMAP with or without Topological Methods in a Blood Cancer Case Study. 1-8 - André G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling:
Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. 1-8 - Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi:
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. 1-8 - Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang:
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. 1-8 - Ananya Gupta, Simon Watson, Hujun Yin:
3D Point Cloud Feature Explanations Using Gradient-Based Methods. 1-8 - Francisco Lucas Falcao Pereira, Iago Castro Chaves, João Paulo Pordeus Gomes, Javam C. Machado:
Using Autoencoders for Anomaly Detection in Hard Disk Drives. 1-7 - Luca Baldini, Alessio Martino, Antonello Rizzi:
Exploiting Cliques for Granular Computing-based Graph Classification. 1-9 - Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Cristiane Canton, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases. 1-8 - Máté Mohácsi, Márk Patrik Török, Sára Sáray, Szabolcs Káli:
A unified framework for the application and evaluation of different methods for neural parameter optimization. 1-7 - Stanislaw Osowski, Lukasz Sierenski:
Prediction of Customer Status in Corporate Banking Using Neural Networks. 1-6 - Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You:
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. 1-7 - Pedro H. M. Braga, Heitor R. Medeiros, Hansenclever F. Bassani:
Deep Categorization with Semi-Supervised Self-Organizing Maps. 1-7 - Amir Aminifar:
Universal Adversarial Perturbations in Epileptic Seizure Detection. 1-6 - Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. 1-8 - Japa Sai Sharath, Banafsheh Rekabdar:
Question Answering over Knowledge Base using Language Model Embeddings. 1-8 - Louis Annabi, Alexandre Pitti, Mathias Quoy:
Autonomous learning and chaining of motor primitives using the Free Energy Principle. 1-8 - Huajie Wang, Lei Chen, Mei Li, Mengnan Chen:
GuideSQL: Utilizing Tables to Guide the Prediction of Columns for Text-to-SQL Generation. 1-7 - Danilo Coura Moreira, Eanes Torres Pereira, Marco Álvarez:
PEDA 376K: A Novel Dataset for Deep-Learning Based Porn-Detectors. 1-8 - Sreejita Ghosh, Peter Tiño, Kerstin Bunte:
Visualisation and knowledge discovery from interpretable models. 1-8 - Wentao Zhang, Hao Cheng, Jun Gan:
MUNet: A Multi-scale U-Net Framework for Medical Image Segmentation. 1-7 - Giulia Serafini, Ping Yi, Qingquan Zhang, Marco Brambilla, Jiayue Wang, Yiwei Hu, Beibei Li:
Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches. 1-8 - Takenori Obo, Ryoya Hase, Kohei Kobayashi, Kotaro Sueta, Takeru Nakano, Duk Shin:
Cognitive Modeling Based on Perceiving-Acting Cycle in Robotic Avatar System for Disabled Patients. 1-6 - Jiajia Liu, Hongning Dai, Bo Li, Gaozhong Tang:
Distance-Guided Mask Propagation Model for Efficient Video Object Segmentation. 1-8 - Weslley L. Caldas, João Paulo do Vale Madeiro, César Lincoln C. Mattos, João Paulo Pordeus Gomes:
A New Methodology for Classifying QRS Morphology in ECG Signals. 1-9 - Alexander Rast, Mahyar Shahsavari, Graeme M. Bragg, Mark Vousden, David B. Thomas, Andrew D. Brown:
A Hardware/Application Overlay Model for Large-Scale Neuromorphic Simulation. 1-9 - Xuejie Zhang, Samarth Agarwal, Ruth Choy, Kay Jan Wong, Lecia Lim, Ying Yang Lee, John Jianan Lu:
Personalized Digital Customer Services for Consumer Banking Call Centre using Neural Networks. 1-7 - Peyman Rasouli, Ingrid Chieh Yu:
EXPLAN: Explaining Black-box Classifiers using Adaptive Neighborhood Generation. 1-9 - Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macedo, Byron Leite Dantas Bezerra, Cleber Zanchettin:
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation. 1-6 - Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang:
Label Noise Robust Curriculum for Deep Paraphrase Identification. 1-8 - Zezhou Chen, Irena Koprinska:
Ensemble Methods for Solar Power Forecasting. 1-8 - Rafal Grycuk, Rafal Scherer:
Novel Fast Binary Hash for Content-based Solar Image Retrieval. 1-7 - Quanbin Wang, Ying Tan:
Grammatical Error Detection with Self Attention by Pairwise Training. 1-7 - Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen:
A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions. 1-8 - Hangyu Xia, Neng Gao, Jia Peng, Jingjie Mo, Jiong Wang:
Binarized Attributed Network Embedding via Neural Networks. 1-8 - Nhan Dam, Trung Le, Viet Huynh, Dinh Phung:
Stein Variational Gradient Descent with Variance Reduction. 1-8 - Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He:
TERG: Topic-Aware Emotional Response Generation for Chatbot. 1-8 - Linshu Ouyang, Yongzheng Zhang, Yipeng Wang:
Unified Graph Embedding-Based Anomalous Edge Detection. 1-8 - Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brévilliers, Pierre-Alain Muller:
Neural Architecture Search for Time Series Classification. 1-8 - Wanyu Zhao, Bairong Li, Qinghua Gu, Yuesheng Zhu:
Improved Hierarchical Clustering with Non-locally Enhanced Features for Unsupervised Person Re-identification. 1-8 - Claudio Gallicchio, Alessio Micheli:
Ring Reservoir Neural Networks for Graphs. 1-7 - Rohollah Moghadam, Pappa Natarajan, Raghavan Krishnan, Sarangapani Jagannathan:
Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems. 1-6 - Achyut Mani Tripathi, Rashmi Dutta Baruah:
Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network. 1-8 - Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Loss Surface Modality of Feed-Forward Neural Network Architectures. 1-8 - Alejandro Barredo Arrieta, Javier Del Ser:
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. 1-7 - Yingda Guan, Zuochang Ye, Yan Wang:
Object Detection with Extended Attention and Spatial Information. 1-8 - Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Data-efficient Online Classification with Siamese Networks and Active Learning. 1-7 - Md. Sultan Mahmud, Faruk Ahmed, Mohammed Yeasin, Claude Alain, Gavin M. Bidelman:
Multivariate Models for Decoding Hearing Impairment using EEG Gamma-Band Power Spectral Density. 1-7 - Taghreed Alqaisi, Alexandros Komninos, Simon O'Keefe:
Dependency Based Bilingual word Embeddings without word alignment. 1-6 - Hui Shi, Wei Ma, Xiaoliang Zhang, Junyan Jiang, Yanbing Liu, Shujuan Chen:
A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata. 1-8 - Samuele Cornell, Emanuele Principi, Stefano Squartini:
A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. 1-8 - Wanting Zhao, Hao Xu, Wenzhuo Huang, Jinkui Xie:
Higher-Order Heterogeneous Graph Convolutional Network Based on Meta-Paths. 1-8 - Pierre Lewden, Adrien F. Vincent, Charly Meyer, Jean Tomas, Sylvain Saïghi:
Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules. 1-8 - Amirreza Salamat, Xiao Luo, Ali Jafari:
BalNode2Vec: Balanced Random Walk based Versatile Feature Learning for Networks. 1-8 - Gianluca Bontempi:
Learning causal dependencies in large-variate time series. 1-7 - Yuxuan Zhang, Yuanxiang Li, Xian Wei, Lei Jia:
Adaptive Spatio-Temporal Graph Convolutional Neural Network for Remaining Useful Life Estimation. 1-7 - Yongchi Zhang, Ping Wei, Huan Li, Nanning Zheng:
Multiscale Adaptation Fusion Networks for Depth Completion. 1-7 - Fernando M. de Paula Neto, Gustavo I. S. Filho, Cláudio A. Monteiro:
Approaches to Avoid Overfitting in a Quantum Perceptron. 1-8 - Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. 1-8 - Victor G. O. M. Nicola, Renata C. B. Madeo, Sarajane M. Peres:
Systematic study on dimensionality reduction in the gesture phase segmentation problem. 1-8 - Yunlong Meng, Fengliang Qi, Heng Zuo, Bo Chen, Xian Yuan, Yao Xiao:
Multi-step LSTM Prediction Model for Visibility Prediction. 1-8 - Yanze Min, Hang Su, Jun Zhu, Bo Zhang:
Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning. 1-8 - Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi:
Uncertainty Quantification Neural Network from Similarity and Sensitivity. 1-8 - Edgar Macias-Garcia, Deysy Galeana Pérez, Eduardo Bayro-Corrochano:
CNN Based Perception System for Collision Avoidance in Mobile Robots using Stereo Vision. 1-7 - Rahul Mehta, Müge Karaman:
Correlated Mixed Membership Modeling for Somatic Mutations. 1-8 - Martín Naya-Varela, Andrés Faiña, Richard J. Duro:
An Experiment in Morphological Development for Learning ANN Based Controllers. 1-8 - Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan:
TSception: A Deep Learning Framework for Emotion Detection Using EEG. 1-7 - Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. 1-7 - Dennis Bautembach, Iason Oikonomidis, Nikolaos Kyriazis, Antonis A. Argyros:
Faster and Simpler SNN Simulation with Work Queues. 1-8 - Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. 1-10 - Sayantani Ghosh, Mousumi Laha, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar:
Vowel Sound Imagery Decoding by a Capsule Network for the Design of an Automatic Mind-Driven Type-Writer. 1-8 - Tiago Colliri, Weiguang Liu, Liang Zhao:
An Optimized Modularity-Based High Level Classification Model. 1-8 - Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet:
On Ensemble Techniques for Data Stream Regression. 1-8 - Hiram Ponce, Lourdes Martínez-Villaseñor:
Comparative Analysis of Artificial Hydrocarbon Networks versus Convolutional Neural Networks in Human Activity Recognition. 1-7 - Guillaume Padiolleau, Olivier Bach, Alain Hugget, Denis Penninckx, Frédéric Alexandre:
A Structure of Restricted Boltzmann Machine for Modeling System Dynamics. 1-8 - Zhihao Chen, Alain Lalande, Michel Salomon, Thomas Decourselle, Thibaut Pommier, Gilles Perrot, Raphaël Couturier:
Myocardial Infarction Segmentation From Late Gadolinium Enhancement MRI By Neural Networks and Prior Information. 1-8 - Xiaoyi Chen, Ni Zhang:
Layer-wise Adversarial Training Approach to Improve Adversarial Robustness. 1-8 - Hua Zuo, Jie Lu, Guangquan Zhang:
Multiple-source Domain Adaptation in Rule-based Neural Network. 1-6 - Andronicus Ayobami Akinyelu:
Bio-inspired technique for improving machine learning speed and big data processing. 1-8 - Lourdes Martínez-Villaseñor, Hiram Ponce, José Núñez-Martínez, Sofía Pacheco:
Online Testing in Machine Learning Approach for Fall Detection. 1-8 - Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor:
Enabling Continual Learning with Differentiable Hebbian Plasticity. 1-8 - Jun Yamada, John Shawe-Taylor, Zafeirios Fountas:
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning. 1-8 - Guillaume Hocquet, Olivier Bichler, Damien Querlioz:
OvA-INN: Continual Learning with Invertible Neural Networks. 1-7 - Syed Qaisar Jalil, Mubashir Husain Rehmani, Stephan K. Chalup:
DQR: Deep Q-Routing in Software Defined Networks. 1-8 - Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. 1-8 - Tiago Pimentel, Marianne Monteiro, Adriano Veloso, Nivio Ziviani:
Deep Active Learning for Anomaly Detection. 1-8 - Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu:
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. 1-7 - Ziqiang Li, Gouhei Tanaka:
HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction. 1-9 - Charles R. Day, Edward K. Chadwick, Dimitra Blana:
A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers. 1-7 - Matheus T. Guimarães, Aldísio Gonçalves Medeiros, Jefferson S. Almeida, Marcos Falcão y Martin, Robertas Damasevicius, Rytis Maskeliunas, César Lincoln Cavalcante Mattos, Pedro Pedrosa Rebouças Filho:
An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality Reduction. 1-8 - Jinxin Liu, Qiangxing Tian, Donglin Wang:
Multivariate Time Series Prediction with PID-based Residual Compensation. 1-7 - Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik:
Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction. 1-8 - Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros:
Attention-based 3D Object Reconstruction from a Single Image. 1-8 - Naylene Fraccanabbia, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Leandro dos Santos Coelho, Viviana Cocco Mariani:
Solar Power Forecasting Based on Ensemble Learning Methods. 1-7 - Rashmi Kethireddy, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty:
Learning Filterbanks from Raw Waveform for Accent Classification. 1-6 - Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena:
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. 1-6 - Aditya Kuppa, Nhien-An Le-Khac:
Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security. 1-8 - Keyu Wen, Xiaodong Gu:
Dual Semantic Relationship Attention Network for Image-Text Matching. 1-7 - Zuzanna Krawczyk, Jacek Starzynski:
YOLO and Morphing-based Method for 3D Individualised Bone Model Creation. 1-8 - Azhar Aulia Saputra, Wei Hong Chin, Auke Jan Ijspeert, Naoyuki Kubota:
A Muscle-Reflex Model of Forelimb and Hindlimb of Felidae Family of Animal with Dynamic Pattern Formation Stimuli. 1-8 - Chandan Kumar Singh, Vivek Kumar Gangwar, Anima Majumder, Swagat Kumar, Prakash Chanderlal Ambwani, Rajesh Sinha:
A Light-weight Deep Feature based Capsule Network. 1-8 - Xinjie Wang, Yaochu Jin, Kuangrong Hao:
A Gated Recurrent Unit based Echo State Network. 1-7 - Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. Scott, Dan I. Lubman:
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. 1-10 - Simona Doboli, Jared B. Kenworthy, Paul B. Paulus, Ali A. Minai, Alex Doboli:
A cognitive inspired method for assessing novelty of short-text ideas. 1-8 - Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma:
A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation. 1-6 - Tianhao Shen, Xiaojie Wang:
Multi-Domain Dialogue State Tracking with Hierarchical Task Graph. 1-8 - Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba:
Convolutional Neural Network for Medical Image Classification using Wavelet Features. 1-8 - Arthur Costa Gorgônio, Anne Magály de Paula Canuto, Karliane M. O. Vale, Flavius L. Gorgônio:
A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments. 1-8 - Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang:
Diversity in Neural Architecture Search. 1-8 - George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache:
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition. 1-9 - Dan Valle, Tiago Pimentel, Adriano Veloso:
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. 1-8 - Pengfei Li, Peixiang Zhong, Jiaheng Zhang, Kezhi Mao:
Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis. 1-8 - Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, Antonella Santone:
Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers. 1-8 - Toshi Sinha, Brijesh K. Verma:
A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network. 1-6 - João Ribeiro Pinto, Jaime S. Cardoso:
Self-Learning with Stochastic Triplet Loss. 1-8 - José Pereira Amorim, Pedro H. Abreu, Mauricio Reyes, João A. M. Santos:
Interpretability vs. Complexity: The Friction in Deep Neural Networks. 1-7 - Fabio Martinelli, Fiammetta Marulli, Francesco Mercaldo, Stefano Marrone, Antonella Santone:
Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence. 1-8 - Cong Wang, Cheng-Lin Liu:
Scene Text Recognition by Attention Network with Gated Embedding. 1-8 - Dinesh Kumar, Dharmendra Sharma:
Multi-modal Information Extraction and Fusion with Convolutional Neural Networks. 1-9 - Sidhant Nagpal, Siddharth Verma, Shikhar Gupta, Swati Aggarwal:
A Guided Learning Approach for Generative Adversarial Networks. 1-8 - Mingjian Lei, Xiaoyong Li, Binsi Cai, Yunfeng Li, Limengwei Liu, Wenping Kong:
P-DNN: An Effective Intrusion Detection Method based on Pruning Deep Neural Network. 1-9 - Yushuo Li, Yuanpei Liu, Xiaopeng Gong, Xiabi Liu:
Image Co-segmentation with Multi-Scale Dual-Cross Correlation Network. 1-8 - Adam Jilling, Marco Álvarez:
Optimizing Recommendations for Clustering Algorithms Using Meta-Learning. 1-10 - Usman Naseem, Katarzyna Musial, Peter W. Eklund, Mukesh Prasad:
Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding. 1-8 - Muhammad Umer, Glenn Dawson, Robi Polikar:
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. 1-8 - Jordan Schupbach, John W. Sheppard, Tyler Forrester:
Quantifying Uncertainty in Neural Network Ensembles using U-Statistics. 1-8 - Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors. 1-8 - Mukund Rungta, Rishabh Kumar, Mehak Preet Dhaliwal, Hemant Tiwari, Vanraj Vala:
TransKP: Transformer based Key-Phrase Extraction. 1-7 - Wei Lu, Yan Hu:
Multi-type Feature Mining and Fusion Model for Temporal Prediction. 1-6 - Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach. 1-8 - Haolei Pei, Qiaohong Chen, Ji Wang, Qi Sun, Yubo Jia:
Visual Relational Reasoning for Image Caption. 1-8 - Sepehr Ataei, Javad Alirezaie, Paul S. Babyn:
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. 1-5 - Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya:
Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. 1-7 - Gianlucca L. Zuin, Adriano Veloso, João Cândido Portinari, Nivio Ziviani:
Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions. 1-8 - Luca Oneto, Michele Donini, Massimiliano Pontil:
General Fair Empirical Risk Minimization. 1-8 - Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong:
IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control. 1-8 - George Kandilogiannakis, Paris A. Mastorocostas:
ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series. 1-7 - Fernando García-Redondo, Shidhartha Das, Glen Rosendale:
Training DNN IoT Applications for Deployment On Analog NVM Crossbars. 1-8 - Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud:
Time sensitivity and self-organisation in Multi-recurrent Neural Networks. 1-7 - Pablo Scleidorovich, Martin Llofriu, Jean-Marc Fellous, Alfredo Weitzenfeld:
A Computational Model for Latent Learning based on Hippocampal Replay. 1-8 - Cinzia Bernardeschi, Andrea Domenici, Francesco Mercaldo, Antonella Santone:
Identify Potential Attacks from Simulated Log Analysis. 1-6 - Edoardo Ragusa, Tommaso Apicella, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
An hardware-aware image polarity detector enhanced with visual attention. 1-7 - Arijit Ukil, Soma Bandyopadhyay, Arpan Pal:
Sig-R2ResNet: Residual Network with Signal Processing-refined Residual Mapping, Auto-tuned L1-Regularization with Modified Adam Optimizer for Time Series Classification. 1-8 - Yiwen Jiang, Wei Tang, Neng Gao, Chenyang Tu, Jia Peng, Min Li:
SECL: Separated Embedding and Correlation Learning for Demographic Prediction in Ubiquitous Sensor Scenario. 1-10 - Garima Sharma, Jyoti Joshi, Radia Zeghari, Rachid Guerchouche:
Audio-Visual Weakly Supervised Approach for Apathy Detection in the Elderly. 1-7 - Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition. 1-8 - Yiming Peng, Gang Chen, Mengjie Zhang:
Effective Linear Policy Gradient Search through Primal-Dual Approximation. 1-8 - Zhiwen Zeng, Matloob Khushi:
Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price. 1-7 - Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. 1-7 - Siyuan Zhu, Cheng Shang, Jingjing Fan, Xin Wang, Meili Wang:
Bas-reliefs modelling based on learning deformable 3D models. 1-7 - Chunquan Chen, Si Li:
Knowledge-based Context-aware Multi-turn Conversational Model with Hierarchical Attention. 1-8 - Aldísio Gonçalves Medeiros, João P. B. Andrade, Paulo Bruno S. Serafim, Alexandre M. M. Santos, José G. R. Maia, Fernando Antonio Mota Trinta, José A. F. de Macêdo, Pedro P. R. Filho, Paulo A. L. Rego:
A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning. 1-8 - Eduardo Nigri, Nivio Ziviani, Fábio A. M. Cappabianco, Augusto Antunes, Adriano Veloso:
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. 1-8 - Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda:
Four Models of Hopfield-Type Octonion Neural Networks and Their Existing Conditions of Energy Functions. 1-7 - Joyjit Chatterjee, Nina Dethlefs:
A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. 1-10 - Jengnan Tzeng, Yen-Ru Lai, Ming-Lai Lin, Yu-Han Lin, Yu-Cheng Shih:
Improve the LSTM and GRU model for small training data by wavelet transformation. 1-6 - Ke Zhang, Siu-Ming Yiu, Lucas Chi Kwong Hui:
A Light-Weight Crowdsourcing Aggregation in Privacy-Preserving Federated Learning System. 1-8 - Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung:
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. 1-8 - Sofiane Medjram, Saïda Bouakaz:
ZF Model Efficiency for Automatic Hand Detection in Vehicles. 1-7 - Charitos Charitou, Artur S. d'Avila Garcez, Simo Dragicevic:
Semi-supervised GANs for Fraud Detection*. 1-8 - Ziang Liu, Dongrui Wu:
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression. 1-7 - Sérgio F. Chevtchenko, Teresa Bernarda Ludermir:
Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network. 1-8 - Ruijiao Liu, Yangyang Li, Licheng Jiao:
SAR Image Specle Reduction based on a Generative Adversarial Network. 1-6 - Adrian Horzyk, Efe Ergün:
YOLOv3 Precision Improvement by the Weighted Centers of Confidence Selection. 1-8 - Siddharth Dadhich, Fredrik Sandin, Ulf Bodin, Ulf Andersson, Torbjörn Martinsson:
Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning. 1-9 - Lei Wu, Xi Chen, Lei Meng, Xiangxu Meng:
Multitask Adversarial Learning for Chinese Font Style Transfer. 1-8 - Zhi-An Huang, Rui Liu, Kay Chen Tan:
Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. 1-7 - Dighanchal Banerjee, Smriti Rani, Arun M. George, Arijit Chowdhury, Sounak Dey, Arijit Mukherjee, Tapas Chakravarty, Arpan Pal:
Application of Spiking Neural Networks for Action Recognition from Radar Data. 1-10 - Gioele Ciaparrone, Francesco Bardozzo, Mattia delli Priscoli, Juanita Londoño Kallewaard, Maycol Ruiz Zuluaga, Roberto Tagliaferri:
A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection. 1-8 - Steve Tsham Mpinda Ataky, Jonathan de Matos, Alceu S. Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich:
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending. 1-8 - Shruti Landge, Vivek Saraswat, Srisht Fateh Singh, Udayan Ganguly:
n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem. 1-8 - Alessandro G. Di Nuovo:
A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits. 1-8 - Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar:
A Neurobiological Schema Model for Contextual Awareness in Robotics. 1-8 - Yilin Dai, Qian Ji, Gongshen Liu, Bo Su:
Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier. 1-8 - Wensi Tang, Lu Liu, Guodong Long:
Interpretable Time-series Classification on Few-shot Samples. 1-8 - Evgeny M. Mirkes:
Artificial Neural Network Pruning to Extract Knowledge. 1-8 - Antonio Quintero-Rincón, Carlos D'Giano, Hadj Batatia:
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution. 1-5 - Olivier Habimana, Yuhua Li, Ruixuan Li, Xiwu Gu, Yuqi Peng:
A Multi-Task Learning Approach to Improve Sentiment Analysis with Explicit Recommendation. 1-8 - Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Raka Jovanovic, Milan Tuba:
Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm. 1-7 - Bharat Richhariya, Muhammad Tanveer:
Universum least squares twin parametric-margin support vector machine. 1-8 - Lam Dang Pham, Ian McLoughlin, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins:
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. 1-7 - Prabath Abeysekara, Hai Dong, A. Kai Qin:
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. 1-8 - Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent:
Axis projection for Kidney-Region-Of-Interest detection in computed tomography. 1-6 - Daniel S. Levine:
What You Get is More Than What You See - or Less - in Models of Human Decision Making. 1-5 - Ammar Shaker, Christoph Gärtner, Xiao He, Shujian Yu:
Online Meta-Forest for Regression Data Streams. 1-8 - Ramazan Esmeli, Mohamed Bader-El-Den, Hassana Abdullahi:
Using Word2Vec Recommendation for Improved Purchase Prediction. 1-8 - Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. 1-9 - Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick:
Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. 1-8 - Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran:
Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. 1-8 - Shoumik Roychowdhury, Shounak Roychowdhury:
A Modular Framework to Predict Alzheimer's Disease Progression Using Conditional Generative Adversarial Networks. 1-8 - Arlete Teresinha Beuren, Alceu de Souza Britto Jr., Jacques Facon:
Sky/Ground Segmentation Using Different Approaches. 1-8 - Rakesh Kumar Sanodiya, Alwyn Mathew, Jimson Mathew, Matloob Khushi:
Statistical and Geometrical Alignment using Metric Learning in Domain Adaptation. 1-8 - Rema Daher, Mohammad Kassem Zein, Julia El Zini, Mariette Awad, Daniel C. Asmar:
Change Your Singer: A Transfer Learning Generative Adversarial Framework for Song to Song Conversion. 1-7 - Hassam Ullah Sheikh, Ladislau Bölöni:
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. 1-8 - Louis Jensen, Jacob Harer, Sang Chin:
NodeDrop: A Method for Finding Sufficient Network Architecture Size. 1-9 - Imran Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Mahmood Khan:
Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network. 1-8 - Tao Liang, Jin Liu:
Meta-Path Generation Online for Heterogeneous Network Embedding. 1-8 - Jizhi Peng, Zhixiong Nan, Linhai Xu, Jingmin Xin, Nanning Zheng:
A Deep Model for Joint Object Detection and Semantic Segmentation in Traffic Scenes. 1-8 - Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya:
Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application. 1-8 - Anik Khan, Kishor Datta Gupta, Deepak Venugopal, Nirman Kumar:
CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space. 1-8 - Peter Sussner, Israel Campiotti, Manuel Alejandro Quispe Torres:
Hybrid Gray-Scale and Fuzzy Morphological/Linear Perceptrons Trained By Extreme Learning Machine. 1-8 - Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart:
Mapping individual differences in cortical architecture using multi-view representation learning. 1-8 - Lei Shen, Xiaoyu Guo, Meng Chen:
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation. 1-8 - Guang Yao, Zongxuan Liu, Xufeng Guo, Chaoshi Wei, Xinfeng Li, Zhihao Chen:
Prediction of Weather Radar Images via a Deep LSTM for Nowcasting. 1-8 - Yanyun Tao, Guoqi Yue, Kaixin Wang, Yuzhen Zhang, Bin Jiang:
A cascaded step-temporal attention network for ECG arrhythmia classification. 1-8 - Ying Xu, Xu Zhong, Antonio José Jimeno-Yepes, Jey Han Lau:
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension. 1-8 - Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
K-mer Neural Embedding Performance Analysis Using Amino Acid Codons. 1-8 - Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Segmented Pairwise Distance for Time Series with Large Discontinuities. 1-8 - Tiancheng Shen, Jia Jia, Yan Li, Hanjie Wang, Bo Chen:
Enhancing Music Recommendation with Social Media Content: an Attentive Multimodal Autoencoder Approach. 1-8 - Pawel Pelka, Grzegorz Dudek:
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. 1-8 - Stéphane Ayache, Ronan Sicre, Thierry Artières:
Transfer Learning by Weighting Convolution. 1-8 - Yixuan Chai, Guohua Liu, Ziwei Jin, Donghong Sun:
How to Keep an Online Learning Chatbot From Being Corrupted. 1-8 - Motoki Iwashita, Daisuke Katagami:
Psychological Effects of Compliment Expressions by Communication Robots on Humans. 1-8 - Regina R. Parente, Ricardo B. C. Prudêncio:
One-Class Classification for Selecting Synthetic Datasets in Meta-Learning. 1-8 - Pradeep Kr. Banerjee, Guido Montúfar:
The Variational Deficiency Bottleneck. 1-8 - Antônio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho:
An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning. 1-8 - Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
Data-Aware Declarative Process Mining for Malware Detection. 1-8 - Aparup Khatua, Erik Cambria, Shirley S. Ho, Jin-Cheon Na:
Deciphering Public Opinion of Nuclear Energy on Twitter. 1-8 - Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao:
Online Knowledge Acquisition with the Selective Inherited Model. 1-7 - Suyash Sangwan, Md. Shad Akhtar, Pranati Behera, Asif Ekbal:
I didn't mean what I wrote! Exploring Multimodality for Sarcasm Detection. 1-8 - Bryan Lim, Stefan Zohren, Stephen Roberts:
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction. 1-8 - Yaoquan Yu, Yuefeng Guo, Zhiyuan Zhang, Mengshi Li, Tianyao Ji, Wenhu Tang, Qinghua Wu:
Intelligent Classification and Automatic Annotation of Violations based on Neural Network Language Model. 1-7 - Fei Sun, Yangjie Xu, Weidong Sun:
SPSN: Seed Point Selection Network in Point Cloud Instance Segmentation. 1-8 - Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales:
RelationNet2: Deep Comparison Network for Few-Shot Learning. 1-8 - Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma:
RCapsNet: A Recurrent Capsule Network for Text Classification. 1-8 - Haoran Xu, Yongjun Wang, Shuhui Fan, Peidai Xie, Aizhi Liu:
DSmith: Compiler Fuzzing through Generative Deep Learning Model with Attention. 1-9 - Ding Qin, Xiaodong Gu:
Single Image Super-Resolution with Hierarchical Receptive Field. 1-8 - Aakansha Mishra, Ashish Anand, Prithwijit Guha:
CQ-VQA: Visual Question Answering on Categorized Questions. 1-8 - Wenjie Lu, Jie Zhou, Leiying Zhou, Gongshen Liu, Quanhai Zhang:
Challenge Training to Simulate Inference in Machine Translation. 1-8 - Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa:
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. 1-6 - Luiz Ricardo Takeshi Horita, Denis Fernando Wolf, Valdir Grassi Jr.:
Effective Deep Reinforcement Learning Setups for Multiple Goals on Visual Navigation. 1-8 - Ruiyang Yang, Hongyin Tang, Beihong Jin:
Monoceros: A New Approach for Training an Agent to Play FPS Games. 1-8 - Zhichen Lai, Chenwei Tang, Jiancheng Lv:
Arbitrary Chinese Font Generation from a Single Reference. 1-7 - Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman:
Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. 1-8 - Aman Jaiswal, Suraj Kumar, Aditya Nigam:
En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass. 1-8 - Feng Chen, Yunkai Shang, Jincheng Hu, Bo Xu:
Few Features Attack to Fool Machine Learning Models through Mask-based GAN. 1-7 - Sonia, Rashmi Dutta Baruah:
Transfer Learning in Smart Home Scenario. 1-8 - Zhaocheng Zhang, Gang Yang:
Deep Representation of Hierarchical Semantic Attributes for Zero-shot Learning. 1-8 - Vassilis C. Nicodemou, Iason Oikonomidis, Georgios Tzimiropoulos, Antonis A. Argyros:
Learning to Infer the Depth Map of a Hand from its Color Image. 1-8 - Majdi Khalid, Hamidreza Chitsaz, Indrakshi Ray:
Proximal Stochastic AUC Maximization. 1-8 - Zhenhua Shi, Dongrui Wu, Jian Huang, Yu-Kai Wang, Chin-Teng Lin:
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction. 1-8 - Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings:
A Comparative Study of Time and Frequency Domain Approaches to Deep Learning based Speech Enhancement. 1-8 - B. Rasitha Fernando, Yangjie Qi, Chris Yakopcic, Tarek M. Taha:
3D Memristor Crossbar Architecture for a Multicore Neuromorphic System. 1-8 - Roghayeh Mojarad, Ferhat Attal, Abdelghani Chibani, Yacine Amirat:
A Hybrid Context-aware Framework to Detect Abnormal Human Daily Living Behavior. 1-8 - Alejandro Romero, Francisco Bellas, Abraham Prieto, Richard J. Duro:
Developmental Learning of Value Functions in a Motivational System for Cognitive Robotics. 1-8 - Dongming Zhou, Canlong Zhang, Zhixin Li, Zhiwen Wang:
Multi-level Visual Fusion Networks for Image Captioning. 1-8 - Dhruval Jain, Debi Prasanna Mohanty, Sanjeev Roy, Naresh Purre, Sukumar Moharana:
On-device Filtering of Social Media Images for Efficient Storage. 1-7 - Xu Zhang, Boming Li, Chao Song, Zhengwen Huang, Yan Li:
SASRM: A Semantic and Attention Spatio-temporal Recurrent Model for Next Location Prediction. 1-8 - Chirath Pathiravasam, Paranietharan Arunagirinathan, Iroshani Jayawardene, Ganesh K. Venayagamoorthy, Yongqiang Wang:
Spatio-Temporal Distributed Solar Irradiance and Temperature Forecasting. 1-8 - Dan Barsever, Sameer Singh, Emre Neftci:
Building a Better Lie Detector with BERT: The Difference Between Truth and Lies. 1-7 - Leonardo Conegundes Martinez, Adriano César Machado Pereira:
Beating the Stock Market with a Deep Reinforcement Learning Day Trading System. 1-8 - Madson L. D. Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva:
Anomaly Detection in Trajectory Data with Normalizing Flows. 1-8 - Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. 1-8 - Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper:
Heterogeneous Multi-Modal Sensor Fusion with Hybrid Attention for Exercise Recognition. 1-8 - Sujit Roy, Shirin Dora, Karl A. McCreadie, Girijesh Prasad:
MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals. 1-8 - Théo Morales, Andriy Sarabakha, Erdal Kayacan:
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing. 1-8 - Ziqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin:
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. 1-8 - Akihiro Matsufuji, Haruka Sekino, Eri Sato-Shimokawara, Toru Yamaguchi:
A Calculation Method of the Similarity Between Trained Model and New Sample by using Gaussian Distribution. 1-6 - Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors. 1-10 - Huynh Thi Thanh Binh, Nguyen Phi Le, Binh-Minh Nguyen, Trinh Thu Hai, Quang Minh Ngo, Do Bao Son:
A Reinforcement Learning Algorithm for Resource Provisioning in Mobile Edge Computing Network. 1-7 - Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu:
Identifying Optimism and Pessimism in Twitter Messages Using XLNet and Deep Consensus. 1-8 - Yingjie Xu, Jun Guo:
Low Resolution Handwritten Digit String Recognition based on Object Detection Network. 1-7 - Jinpeng Li, Chuang Zhang, Xiaojun Chen, Yanan Cao, Ruipeng Jia:
Improving Abstractive Summarization with Iterative Representation. 1-8 - Kyle Pretorious, Nelishia Pillay:
A Comparative Study of Classifiers for Thumbnail Selection. 1-7 - Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Generating Chinese Poetry from Images via Concrete and Abstract Information. 1-8 - Kun Xiong, Liu Jiang, Xuan Dang, Guolong Wang, Wenwen Ye, Zheng Qin:
Towards Personalized Aesthetic Image Caption. 1-8 - Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya:
Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning. 1-8 - Omar Kawi, Kathy Clawson, Paul Dunn, Daniel Knight, Jonathan Hodgson, Yonghong Peng:
Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. 1-7 - Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu:
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. 1-8 - Le-Yan Tao, Bao-Liang Lu:
Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network. 1-8 - Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin:
Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. 1-8 - Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges:
Detection of Adversarial Examples in Deep Neural Networks with Natural Scene Statistics. 1-7 - Milad Mozafari, Leila Reddy, Rufin VanRullen:
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN. 1-8 - Samuel da S. Oliveira, Anne M. P. Canuto, Bruno M. Carvalho, Márcio Eduardo Kreutz:
Machine Learning Based Seismic Region Classification. 1-6 - Bruno Henrique Meyer, Aurora Trinidad Ramirez Pozo, Wagner M. Nunan Zola:
Improving Barnes-Hut t-SNE Scalability in GPU with Efficient Memory Access Strategies. 1-8 - Bastien Nollet, Mathieu Lefort, Frédéric Armetta:
Learning Arithmetic Operations With A Multistep Deep Learning. 1-8 - Zongwen Bai, Ying Li, Meili Zhou, Di Li, Dong Wang, Dawid Polap, Marcin Wozniak:
Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering. 1-8 - Vassilis G. Kaburlasos, Eleni Vrochidou, Chris Lytridis, George A. Papakostas, Theodore P. Pachidis, Michail Manios, Spyridon Mamalis, Theodora Merou, Stefanos Koundouras, Serafeim Theocharis, George Siavalas, Christos Sgouros, P. Kyriakidis:
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. 1-6 - Mauro Giampieri, Luca Baldini, Enrico De Santis, Antonello Rizzi:
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. 1-8 - Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen:
RailNet: An Information Aggregation Network for Rail Track Segmentation. 1-7 - Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson:
Feature Map Transform Coding for Energy-Efficient CNN Inference. 1-9 - Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç:
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. 1-7 - Jen-Tzung Chien, Yu-Min Huang:
Stochastic Convolutional Recurrent Networks. 1-6 - Daniel A. Magallón, Carlos E. Castañeda, Francisco Jurado, Onofre A. Morfin:
Design of a Morlet wavelet control algorithm using super-twisting sliding modes applied to an induction machine. 1-8 - Mohammed Al-Zeyadi, Javier Andreu-Perez, Hani Hagras, Chris Royce, Darren Smith, Piotr Rzonsowski, Ali Malik:
Deep Learning Towards Intelligent Vehicle Fault Diagnosis. 1-7 - Tong Zhang, Di Wang, Huanhuan Chen, Zhiwei Zeng, Wei Guo, Chunyan Miao, Lizhen Cui:
BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection. 1-8 - Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio:
Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks. 1-8 - Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin:
Towards Best Practice in Explaining Neural Network Decisions with LRP. 1-7 - Charu Sharma, Jatin Chauhan, Manohar Kaul:
Learning Representations using Spectral-Biased Random Walks on Graphs. 1-8 - Alvaro D. Orjuela-Cañón, Jan A. Freund, Andres Leonardo Jutinico Alarcon, Alexander Cerquera:
Granger Causality Analysis based on Neural Networks Architectures for bivariate cases. 1-6 - Yonas Yehualaeshet Tefera, Tewodros Kibatu, Bethelhem Seifu Shawel, Dereje Hailemariam Woldegebreal:
Recurrent Neural Network-based Base Transceiver Station Power Supply System Failure Prediction. 1-7 - Antonio Morán, Masao Nagai:
Control of Complex Nonlinear Dynamic Systems with Incremental Deep Learning Neural Networks. 1-8 - Marinus Toman, John Joseph Wade, Liam McDaid, Jim Harkin:
Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft. 1-8 - Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Novelty-Guided Reinforcement Learning via Encoded Behaviors. 1-8 - Aung Aung Phyo Wai, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, Cuntai Guan:
Optimizing Filter-bank Canonical Correlation Analysis for fast response SSVEP Brain-Computer Interface (BCI). 1-8 - Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas:
Multi-target regression via output space quantization. 1-9 - Julien Abrossimoff, Alexandre Pitti, Philippe Gaussier:
Working-memory prefrontal model for cognitive flexibility in task-switching and selection. 1-7 - Heng Liu, Gregory Ditzler:
Detecting Adversarial Audio via Activation Quantization Error. 1-7 - Harish Kumar Manchukonda, Shahram Rahimi, Alexander Sommers, Sean Bozorgzad, Junfeng Ma:
A Study of Emergency Department Patient Admittance Predictors. 1-7 - Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu:
Learning Label-Relational Output Structure for Adaptive Sequence Labeling. 1-8 - Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. 1-8 - JiaRui Zhang, Hongzheng Li, Shumin Shi, Heyan Huang, Yue Hu, Xiangpeng Wei:
Dynamic Attention Aggregation with BERT for Neural Machine Translation. 1-8 - Yang Lin, Irena Koprinska, Mashud Rana:
Temporal Convolutional Neural Networks for Solar Power Forecasting. 1-8 - Pu Li, Xiaobai Liu, K. J. Palmer, Erica Fleishman, Douglas Gillespie, Eva-Marie Nosal, Yu Shiu, Holger Klinck, Danielle Cholewiak, Tyler A. Helble, Marie A. Roch:
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours. 1-10 - Jing Bai, Wentao Yu, Anran Yuan, Zhu Xiao:
Airplane Detection in Optical Remote Sensing Video Using Spatial and Temporal Features. 1-7 - Hongxin Xiang, Ting Zeng, Yun Yang:
A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. 1-8 - Ye-Sheen Lim, Denise Gorse:
Deep Probabilistic Modelling of Price Movements for High-Frequency Trading. 1-8 - Jaroslaw Protasiewicz:
A Neural Network Toolbox for Electricity Consumption Forecasting. 1-6 - Esteban Reyes, Pablo A. Estévez:
Transformation Based Deep Anomaly Detection in Astronomical Images. 1-8 - Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam, Prarabdha Agrawal:
Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning. 1-7 - Basma Abdulaimma, Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez:
Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes. 1-8 - Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy:
Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach. 1-7 - Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad:
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. 1-8 - Richard A. McAllister, John W. Sheppard:
Enhancing Neural Networks with Locality-Sensitive Clustering of Internal Representations. 1-8 - Luca Oneto, Francesca Cipollini, Leonardo Miglianti, Giorgio Tani, Stefano Gaggero, Michele Viviani, Andrea Coraddu:
Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage. 1-10 - Thomas Vacek:
Regularizing Pattern Recognition with Conditional Probability Estimates. 1-10 - Binbin Qiu, Jinjin Guo, Xiaodong Li, Yunong Zhang:
Solving Discrete Dynamic Nonlinear Equation System Using New-Type DTG Model With Occasionally-Singular Jacobian Matrix. 1-8 - Meilin Zhou, Qi Liang, Lu Ma, Dan Luo, Peng Zhang, Bin Wang:
Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning. 1-8 - Lilan Huang, Hongze Leng, Junqiang Song, Juan Zhao, Rui Chen, Dongzi Wang:
A Hybrid 3DVar-EnKF Data Assimilation Approach Based on Multilayer Perceptron. 1-10 - Yuan Pu, Shaochen Wang, Xin Yao, Bin Li:
Latent Context Based Soft Actor-Critic. 1-7 - Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Ao Tang:
Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation. 1-8 - Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. 1-8 - Mingli Zhang, Dongsheng Xiao, Timothy H. Murphy, Jean-Baptiste Poline, Alan C. Evans:
Group-Patch Based Classification and Asymptotic Predicting Imbalanced Neuron Spikes. 1-6 - Kaiqiang Xu, Zhulin An, Hui Zhu, Xiaolong Hu, Yongjun Xu:
HLNet: Modeling High and Low Frequencies for Scene Parsing. 1-8 - Zeineb Ghrib, Rakia Jaziri, Rim Romdhane:
Hybrid approach for Anomaly Detection in Time Series Data. 1-7 - Qian Zhang, Jie Lu, Guangquan Zhang:
Cross-Domain Recommendation with Multiple Sources. 1-7 - Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu:
DRG2vec: Learning Word Representations from Definition Relational Graph. 1-9 - Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu:
Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. 1-8 - Sanatan Sukhija, Srenivas Varadarajan, Narayanan C. Krishnan, Sujit Rai:
Multi-Partition Feature Alignment Network for Unsupervised Domain Adaptation. 1-8 - Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaie, Hamid R. Tizhoosh:
A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images. 1-8 - Chen Li, Runze Chen, Christoforos Moutafis, Steve B. Furber:
Robustness to Noisy Synaptic Weights in Spiking Neural Networks. 1-8 - Shenghuan Zhang, Brendan McCane, Phoebe Neo, Shabah M. Shadli, Neil McNaughton:
Trait depressivity prediction with EEG signals via LSBoost. 1-8 - Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li:
Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. 1-8 - Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth:
A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting. 1-8 - Hoon Chung, Hyeong-Bae Jeon, Jeon Gue Park:
Semi-supervised Training for Sequence-to-Sequence Speech Recognition Using Reinforcement Learning. 1-6 - Andre Mendes, Julian Togelius, Leandro dos Santos Coelho:
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder. 1-8 - Dengdi Sun, Fanchen Zeng, Bin Luo, Jin Tang, Zhuanlian Ding:
Information Enhanced Graph Convolutional Networks for Skeleton-based Action Recognition. 1-7 - Rongkai Zhang, Anatolii Prokhorchuk, Justin Dauwels:
Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. 1-8 - Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov:
Conventional and Structure Based Sentiment Analysis: A Survey. 1-8 - Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. 1-8 - Christos Kouppas, Mohamad Saada, Qinggang Meng, Mark King, Dennis Majoe:
Balance Control of a Bipedal Robot Utilizing Intuitive Pattern Generators with Extended Normalized Advantage Functions. 1-8 - João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho:
Item Response Theory for Evaluating Regression Algorithms. 1-8 - Luis Miguel Núñez, Margarida Julià-Sapé, Enrique Romero, Carles Arús, Alfredo Vellido, Ana-Paula Candiota:
Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. 1-8 - Jefferson Fontinele, Marcelo Mendonça, Marco Ruiz, João P. Papa, Luciano Oliveira:
Faster α-expansion via dynamic programming and image partitioning. 1-8 - Abdul Wahid, Annavarapu Chandra Sekhara Rao:
An Outlier Detection Algorithm based on KNN-kernel Density Estimation. 1-8 - Apurva Gandhi, Shomik Jain:
Adversarial Perturbations Fool Deepfake Detectors. 1-8 - Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations. 1-7 - David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Online learning for anomaly detection via subdivisible convex hulls. 1-8 - Johan Garcia, Topi Korhonen:
DIOPT: Extremely Fast Classification Using Lookups and Optimal Feature Discretization. 1-8 - Yun Ma, Xudong Mao, Yangbin Chen, Qing Li:
Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning. 1-8 - Javier Osorio, Alejandro Beltran:
Enhancing the Detection of Criminal Organizations in Mexico using ML and NLP. 1-7 - Weijie Ke, Yannan Xing, Gaetano Di Caterina, Lykourgos Petropoulakis, John J. Soraghan:
Deep Convolutional Spiking Neural Network Based Hand Gesture Recognition. 1-7 - Wei Shao, Jeffrey Chan, Flora D. Salim:
Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. 1-8 - Qi Zhang, Zhen Lei, Stan Z. Li:
Neighborhood-Aware Attention Network for Semi-supervised Face Recognition. 1-8 - Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Networks. 1-8 - Rohan Banerjee, Avik Ghose, Kayapanda M. Mandana:
A Hybrid CNN-LSTM Architecture for Detection of Coronary Artery Disease from ECG. 1-8 - Lele Huang, Huifang Ma, Xiangchun He, Liang Chang:
Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering. 1-8 - Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li:
Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. 1-10 - Xueyang Li, Yongfeng Huang, Cairong Yan, Lihao Liu:
IT-Block: Inverted Triangle Block embedded U-Net for Medical Image Segmentation. 1-8 - Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. 1-8 - Yunjian Zhang, Yanwei Liu, Liming Wang, Zhen Xu, Qiuqing Jin:
RegionSparse: Leveraging Sparse Coding and Object Localization to Counter Adversarial Attacks. 1-8 - Divish Rengasamy, Benjamin Rothwell, Grazziela P. Figueredo:
Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines. 1-7 - Emir Demirel, Sven Ahlbäck, Simon Dixon:
Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention. 1-8 - Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso:
Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks. 1-7 - Yanmeng Wang, Wenge Rong, Jianfei Zhang, Yuanxin Ouyang, Zhang Xiong:
Knowledge Grounded Pre-Trained Model For Dialogue Response Generation. 1-8 - Bernardo M. Firme, Guilherme Lopes, Miguel S. E. Martins, Tiago Coito, Joaquim L. Viegas, João M. C. Sousa, João C. P. Reis, João Figueiredo, Susana M. Vieira:
Multi-agent system for dynamic scheduling. 1-8 - Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin:
Generating High-Fidelity Images with Disentangled Adversarial VAEs and Structure-Aware Loss. 1-8 - Ting Ye, Jun Liao, Xuewen Yan, Hao Luo, Wenbing Zhang, Li Liu:
Discovering biomedical causality by a generative Bayesian causal network under uncertainty. 1-8 - Weidong Tian, Bin He, Nanxun Wang, Zhongqiu Zhao:
Multi-Channel Co-Attention Network for Visual Question Answering. 1-8 - Weili Guo, Liping Xie, Zhenyong Fu, Jianhui Guo, Guochen Pang, Jian Yang:
Analytical form of Fisher information matrix of bipoloar-activation-function-based multilayer perceptrons. 1-8 - Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie:
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. 1-8 - Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Learning representations in Bayesian Confidence Propagation neural networks. 1-7 - Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming:
PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. 1-7 - Vassilis S. Kodogiannis, Abeer Alshejari:
An Asymmetric Neuro-Fuzzy Model for the Detection of Meat Spoilage. 1-8 - Xia Hong, Hong Wei, Junbin Gao:
Nonlinear Logistic Regression Model Based On Simplex Basis Function. 1-8 - Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic:
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. 1-7 - Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection. 1-8 - Dong Zhao, Marios M. Polycarpou:
Distributed Fault Accommodation for a Class of Interconnected Nonlinear Systems with Event-Triggered Inter-Communications. 1-6 - Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do:
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. 1-8 - Muhammad Mansoor, Francesco Grimaccia, Marco Mussetta:
Echo State Network Performance in Electrical and Industrial Applications. 1-7 - Asma Baghdadi, Rahma Fourati, Yassine Aribi, Patrick Siarry, Adel M. Alimi:
Robust feature learning method for epileptic seizures prediction based on long-term EEG signals. 1-7 - Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi:
Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. 1-8 - Chengkun Zhang, Junbin Gao, Steven Lu:
Cluster Developing 1-Bit Matrix Completion. 1-8 - Ying Ma, Guoqiang Zhong, Yanan Wang, Wen Liu:
MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data. 1-7 - Prayag Gowgi, Shayan Srinivasa Garani:
Hessian-based Bounds on Learning Rate for Gradient Descent Algorithms. 1-8 - Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, George Matich:
SpikeSEG: Spiking Segmentation via STDP Saliency Mapping. 1-8 - Xinhan Di, Pengqian Yu, Rui Bu, Mingchao Sun:
Mutual Information Maximization in Graph Neural Networks. 1-7 - Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu:
Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. 1-7 - Dai Hoang Tran, Abdulwahab Aljubairy, Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Khoa L. D. Nguyen:
HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. 1-8 - Cephas A. S. Barreto, Anne Magály de Paula Canuto, João C. Xavier Junior, Arthur Costa Gorgônio, Douglas F. A. Lima, Ranna R. F. da Costa:
Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods. 1-8 - Weichong Ng, Guohua Wang, Siddhartha, Zhiping Lin, Bhaskar Jyoti Dutta:
Range-Doppler Detection in Automotive Radar with Deep Learning. 1-8 - Luyang Hou, Shuai Ma, Jun Yan, Chun Wang, Jia Yuan Yu:
Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations. 1-8 - Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi:
Adaptive Pooling Is All You Need: An Empirical Study on Hyperparameter-insensitive Human Action Recognition Using Wearable Sensors. 1-6 - Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha:
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. 1-8 - Amlan Basu, Keerati Kaewrak, Lykourgos Petropoulakis, Gaetano Di Caterina, John J. Soraghan:
Modified Capsule Neural Network (Mod-CapsNet) for Indoor Home Scene Recognition. 1-6 - Maxence Ferrari, Hervé Glotin, Ricard Marxer, Mark Asch:
DOCC10: Open access dataset of marine mammal transient studies and end-to-end CNN classification. 1-8 - Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen:
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. 1-10 - Imran Razzak, Iqra Kamran, Saeeda Naz:
Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders. 1-6 - Haiyin Piao, Zhixiao Sun, Guanglei Meng, Hechang Chen, Bohao Qu, Kuijun Lang, Yang Sun, Shengqi Yang, Xuanqi Peng:
Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning. 1-8 - Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai:
Hubness-based Sampling Method for Nyström Spectral Clustering. 1-8 - Shui-Hua Wang, Gerry P. McCann, Ivan Tyukin:
Myocardial Infarction Detection and Quantification Based on a Convolution Neural Network with Online Error Correction Capabilities. 1-8 - Tikara Hosino:
Variational Bayesian Parameter-Based Policy Exploration. 1-7 - YingYing Ge, Jun Li, ChenYing Meng:
A Hybrid Firefly Algorithm Based on Orthogonal Opposition. 1-8 - Leonardo S. Paulucio, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Product Categorization by Title Using Deep Neural Networks as Feature Extractor. 1-7 - Yuwei Sun, Hideya Ochiai, Hiroshi Esaki:
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs. 1-8 - Chunpeng Wu, Bin Ni, Hai Li:
Redistributing and Re-Stylizing Features for Training a Fast Photorealistic Stylizer. 1-8 - Jonathan Bac, Andrei Yu. Zinovyev:
Local intrinsic dimensionality estimators based on concentration of measure. 1-8 - Krzysztof Adamiak, Pawel Kapusta, Krzysztof Slot:
Facial Appearance Modifications using SKPCA-Derived Features Extracted from Convolutional Autoencoder's Latent Space. 1-7 - Callum Wilson, Annalisa Riccardi, Edmondo A. Minisci:
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines. 1-7 - Fucheng Pan, Beilei Bian, Binxu Wang, Yueping Yang, Xiaoming Ju:
Weakly Supervised Object Localization Using Self-Paced Pyramid Adversarial Learning. 1-8 - Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya, Spyros Samothrakis:
Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. 1-8 - Ruitong Li, Gang Hu, Min Peng:
Hierarchical Embedding for Code Search in Software Q&A Sites. 1-10 - Ravi Tej Akella, Shirsendu Sukanta Halder, Arunav Pratap Shandeelya, Vinod Pankajakshan:
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution. 1-8 - Karol Cheinski, Pawel Wawrzynski:
DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform. 1-6 - Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. 1-8 - Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho:
Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation. 1-8 - Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
HDF: Hybrid Deep Features for Scene Image Representation. 1-8 - Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia:
Generalized Local Aggregation for Large Scale Gaussian Process Regression. 1-8 - Cheng-Hsiang Hu, Yi-Ling Chen:
Forecasting Time Series for Electricity Consumption Data Using Dynamic Weight Ensemble Model. 1-9 - Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. 1-9 - Muhammed Furkan Kucuk, Ismail Uysal:
Performance analysis of neural network topologies and hyperparameters for deep clustering. 1-6 - Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An:
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. 1-8 - Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin:
Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. 1-8 - Syeda Alleena Riaz, Saeeda Naz, Imran Razzak:
Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image. 1-7 - Toshitaka Matsuki, Souya Inoue, Katsunari Shibata:
Q-learning with exploration driven by internal dynamics in chaotic neural network. 1-7 - Kart-Leong Lim:
Non-conjugate Posterior using Stochastic Gradient Ascent with Adaptive Stepsize. 1-8 - Matheus Camilo da Silva, André Armstrong Janino Cizotto, Emerson Cabrera Paraiso:
A Developer Recommendation Method Based on Code Quality. 1-8 - Zhenshan Tan, Xiaodong Gu:
SBN: Scale Balance Network for Accurate Salient Object Detection. 1-7 - Lukasz Korycki, Bartosz Krawczyk:
Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. 1-8 - Haobo Rao, Zhiheng Zhou, Bo Li, Xin Shu:
DAGNet: Exploring the Structure of Objects for Saliency Detection. 1-8 - Elijah Snow, Mahbubul Alam, Alexander Glandon, Khan Iftekharuddin:
End-to-end Multimodel Deep Learning for Malware Classification. 1-7 - Buddhika Kasthuriarachchy, Madhu Chetty, Gour C. Karmakar, Darren Walls:
Pre-trained Language Models with Limited Data for Intent Classification. 1-9 - Yuki Sunaga, Ryo Natsuaki, Akira Hirose:
Similar land-form discovery: Complex absolute-value max pooling in complex-valued convolutional neural networks in interferometric synthetic aperture radar. 1-7 - Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang:
Cosmo VAE: Variational Autoencoder for CMB Image Inpainting. 1-7 - Weidong Zou, Yuanqing Xia, Weipeng Cao:
Dense Broad Learning System based on Conjugate Gradient. 1-6 - Jhonatan Geremias, Altair O. Santin, Eduardo K. Viegas, Alceu S. Britto Jr.:
Towards Real-time Video Content Detection in Resource Constrained Devices. 1-8 - Hadar Shalev, Peerly Setter, Ruth Kimchi, Hagit Hel-Or:
Hiding Data in Images Using Spectral Filtering and Deep Neural Networks. 1-9 - Laura Jamieson, Carlos Francisco Moreno-García, Eyad Elyan:
Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams. 1-7 - Zishu Gao, Guodong Yang, En Li, Zize Liang:
Learning Single-view Object Reconstruction with Scaling Volume-View Supervision. 1-8 - Sumeet S. Shah, John W. Sheppard:
Evaluating Explanations of Convolutional Neural Network Image Classifications. 1-8 - Xiang Wu, Juyang Weng:
Muscle Vectors as Temporally Dense "Labels". 1-8 - Fang Lei, Zhiping Peng, Vassilis Cutsuridis, Mei Liu, Yicheng Zhang, Shigang Yue:
Competition between ON and OFF Neural Pathways Enhancing Collision Selectivity. 1-8 - Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu:
BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph. 1-8 - Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flávio Miguel Varejão, Alexandre Rodrigues Loureiros:
Metric Learning for Electrical Submersible Pump Fault Diagnosis. 1-8 - Muhammad Fakhrur Rozi, Sangwook Kim, Seiichi Ozawa:
Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences. 1-8 - Félix Escalona, Diego Viejo, Robert B. Fisher, Miguel Cazorla:
NurbsNet: A Nurbs approach for 3d object recognition. 1-7 - Sheng Bi, Peng Shi, Yuntao Du, Bin Jin, Lingshuang Yu:
Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification. 1-8 - Florian Mirus, Terrence C. Stewart, Jörg Conradt:
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. 1-7 - Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra:
Multi-Label Auto-Encoder based Electrical Load Disaggregation. 1-6 - Jonas Prellberg, Oliver Kramer:
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. 1-8 - Sara Mumtaz, Carlos Rodríguez, Boualem Benatallah, Mortada Al-Banna, Shayan Zamanirad:
Learning Word Representation for the Cyber Security Vulnerability Domain. 1-8 - Sajjad Bahrami, Ertem Tuncel:
Mitigating Outlier Effect in Online Regression: An Efficient Usage of Error Correntropy Criterion. 1-6 - Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. 1-10 - Shuhui Fan, Shaojing Fu, Haoran Xu, Chengzhang Zhu:
Expose Your Mask: Smart Ponzi Schemes Detection on Blockchain. 1-7 - Hisham Al-Mubaid, Andrew Nash:
A Feature Learning based Technique to Classify Medline Disease Abstracts. 1-8 - Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent:
Robust Training of Vector Quantized Bottleneck Models. 1-7 - Deepak Kumar Jain, Akshi Kumar, Linqin Cai, Siddharth Singhal, Vaibhav Kumar:
ATT: Attention-based Timbre Transfer. 1-6 - Kellyton dos Santos Brito, Paulo Jorge Leitão Adeodato:
Predicting Brazilian and U.S. Elections with Machine Learning and Social Media Data. 1-8 - Hideki Oki, Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Triplet Loss for Knowledge Distillation. 1-7 - Juyang Weng, Zejia Zheng, Xiang Wu, Juan L. Castro-Garcia:
Autonomous Programming for General Purposes: Theory and Experiments. 1-8 - Artur O. R. Franco, Felipe F. Soares, Aloísio Vieira Lira Neto, José A. F. de Macêdo, Paulo A. L. Rego, Fernando A. C. Gomes, José G. R. Maia:
Vehicle Re-Identification by Deep Feature Embedding and Approximate Nearest Neighbors. 1-8 - Binyang Wang, Huifang Li, Zhiwei Lin, Yuanqing Xia:
Temporal Fusion Pointer network-based Reinforcement Learning algorithm for Multi-Objective Workflow Scheduling in the cloud. 1-8 - Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods. 1-8 - Yiwen Chen, Zhaojie Ju, Chenguang Yang:
Combining Reinforcement Learning and Rule-based Method to Manipulate Objects in Clutter. 1-6 - Chen Wang, Chengyuan Deng, Vladimir Ivanov:
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. 1-9 - José Alonso Aguirre-Núñez, Juan Pablo Serrano Rubio, Rafael Herrera Guzmán:
Non-Intrusive Appliance Load Monitoring in an Intelligent Device at the Edge layer. 1-8 - Alper Sekerci, Özlem Salehi:
Language Inference with Multi-head Automata through Reinforcement Learning. 1-8 - Zohaib M. Jan, Brijesh K. Verma:
Optimal Clusters Generation for Maximizing Ensemble Classifier Performance. 1-7 - Marek Orlinski, Norbert Jankowski:
O (m log m) instance selection algorithms - RR-DROPs. 1-8 - Nuno Dionísio, Fernando Alves, Pedro M. Ferreira, Alysson Bessani:
Towards end-to-end Cyberthreat Detection from Twitter using Multi-Task Learning. 1-8 - Zipeng Wu, Guan Lian:
A novel dynamically adjusted regressor chain for taxi demand prediction. 1-10 - Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu:
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. 1-8 - Fangzhou Luo, Xiaolin Wu:
Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN. 1-7 - Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas:
Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. 1-8 - Imran Razzak:
Cooperative Evolution Multiclass Support Matrix Machines. 1-8 - Benjamin Paassen, Irena Koprinska, Kalina Yacef:
Tree Echo State Autoencoders with Grammars. 1-8 - Bingxin Zhou, Xuebin Zheng, Junbin Gao:
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. 1-8 - Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito:
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia. 1-8 - Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli (Omid) David:
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability. 1-10 - Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao:
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. 1-8 - Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad:
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition. 1-8 - Riccardo Pecori, Amin Tayebi, Armando Vannucci, Luca Veltri:
IoT Attack Detection with Deep Learning Analysis. 1-8 - Jiahao Zhang, Miao Li, Chenguang Yang:
Robotic grasp detection using effective graspable feature selection and precise classification. 1-6 - Nicolás Cruz, Javier Ruiz-del-Solar:
Closing the Simulation-to-Reality Gap using Generative Neural Networks: Training Object Detectors for Soccer Robotics in Simulation as a Case Study. 1-8 - Moshé Cotacallapa, Lilian Berton, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros:
Measuring the engagement level in encrypted group conversations by using temporal networks. 1-8 - Fei Wang, Zongfeng Xu, Weiwei Zhang, Shichao Wu, Yahui Zhang, Sonya Coleman:
An Adaptive Control Approach for Intelligent Wheelchair Based on BCI Combining with QoO. 1-8 - Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun:
Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification. 1-8 - Vinícius H. Resende, Murillo G. Carneiro:
High-Level Classification for Multi-Label Learning. 1-8 - Chao Yang, Mingxing Jiang, Zhongwen Guo, Yuan Liu:
Gated Res2Net for Multivariate Time Series Analysis. 1-7 - Zhenyang Su, Jing Li, Zhiquan Ding, Tianqi Qin, Yafu Xiao:
Support Correlation Filters Tracking using Mask Matrix. 1-8 - Caetano Mazzoni Ranieri, Renan Cipriano Moioli, Roseli A. F. Romero, Mariana F. P. de Araújo, Maxwell Barbosa De Santana, Jhielson M. Pimentel, Patrícia A. Vargas:
Unveiling Parkinson's Disease Features from a Primate Model with Deep Neural Networks. 1-8 - Hoang Thanh-Tung, Truyen Tran:
Catastrophic forgetting and mode collapse in GANs. 1-10 - Deepak Kumar Jain, Rachna Jain, Linqin Cai, Meenu Gupta, Yash Upadhyay:
Relative Vehicle Velocity Estimation Using Monocular Video Stream. 1-8 - Jeff Mitchell, Jeffrey S. Bowers:
Harnessing the Symmetry of Convolutions for Systematic Generalisation. 1-8 - Jan Freiwald, Lea Schönherr, Christopher Schymura, Steffen Zeiler, Dorothea Kolossa:
Loss Functions for Deep Monaural Speech Enhancement. 1-7 - Dawei Zhang, Zhonglong Zheng:
Joint Representation Learning with Deep Quadruplet Network for Real-Time Visual Tracking. 1-8 - Da Luo, Jindian Su, Shanshan Yu:
A BERT-based Approach with Relation-aware Attention for Knowledge Base Question Answering. 1-8 - Alexander Holstrup, Lasse Starklit, Andrea Burattin:
Analysis of Information-Seeking Conversations with Process Mining. 1-8 - Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu:
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. 1-8 - Rachid Riad Saboundji, Róbert Adrian Rill:
Predicting Human Errors from Gaze and Cursor Movements. 1-8 - Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida:
Retraining Quantized Neural Network Models with Unlabeled Data. 1-8 - David Lynch, Lester T. W. Ho, Michael MacDonald, Michael O'Neill:
Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks. 1-8 - Abien Fred Agarap, Arnulfo P. Azcarraga:
Improving k-Means Clustering Performance with Disentangled Internal Representations. 1-8 - Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang:
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images. 1-8 - Mengtao Sun, Ibrahim A. Hameed, Hao Wang:
A Novel Ensemble Representation Framework for Sentiment Classification. 1-8 - Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Arcangelo Ranieri Bruna, Valeria Tomaselli, Francesco Carlo Morabito:
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications. 1-7 - Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan:
Students Performance Prediction in Online Courses Using Machine Learning Algorithms. 1-7 - Jia Zhang, Zhixin Li, Canlong Zhang, Huifang Ma:
Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization. 1-8 - Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, Jinghui Cai:
Visual-to-Semantic Hashing for Zero Shot Learning. 1-7 - Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik:
Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. 1-8 - David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez:
Time series ordinal classification via shapelets. 1-8 - Yujia Wu, Jing Li, Vincent Chen, Jun Chang, Zhiquan Ding, Zhi Wang:
Text Classification using Triplet Capsule Networks. 1-7 - Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. 1-8 - Ahmad Zia Ul-Saufie, Dhiya Al-Jumeily, Abir Hussain, Muqhlisah Muhamad, Jamila Mustafina, Fawaz Ghali, Thar Baker:
Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation. 1-5 - Pawel Wawrzynski, Pawel Zawistowski, Lukasz Lepak:
Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM. 1-8 - Xiangnan Zhong, Haibo He:
Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming. 1-8 - Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu:
Unleashing the Potential of Attention Model for News Headline Generation. 1-8 - Rongchun Li, Junjie Zhang, Yuntao Liu, Yong Dou:
Towards Precise End-to-end Semi-Supervised Human Head Detection Network. 1-8 - Takuya Teguri, Teijiro Isokawa, Nobuyuki Matsui, Haruhiko Nishimura, Naotake Kamiura:
Time Series Prediction by Quaternionic Qubit Neural Network. 1-6 - Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. 1-9 - Mattias Nilsson, Foteini Liwicki, Fredrik Sandin:
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. 1-7 - Mariana Y. Noguti, Eduardo Vellasques, Luiz S. Oliveira:
Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service. 1-8 - Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based Music Emotion Prediction using Triplet Neural Networks. 1-7 - Tong Wei, Junlin Hou, Rui Feng:
Fuzzy Graph Neural Network for Few-Shot Learning. 1-8 - Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He:
Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. 1-7 - Zhengshang Liu, Kotagiri Ramamohanarao:
Instance-Based Ensemble Selection Using Deep Reinforcement Learning. 1-7 - CScott Brown, Ryan G. Benton:
Decision Surfaces of Localized Classifiers. 1-8 - Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xu Tang, Chen Li:
Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images. 1-7 - Olaoluwa Adigun, Bart Kosko:
High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding. 1-9 - Xiancong Chen, Weike Pan, Zhong Ming:
Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. 1-8 - Edoardo Giacomello, Daniele Loiacono, Luca T. Mainardi:
Brain MRI Tumor Segmentation with Adversarial Networks. 1-8 - Eraylson G. Silva, George D. C. Cavalcanti, João Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto:
On the evaluation of dynamic selection parameters for time series forecasting. 1-7 - Petr Hurtík, Vojtech Molek, Pavel Vlasánek:
YOLO-ASC: You Only Look Once And See Contours. 1-7 - Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. 1-7 - Samuel Bruno da Silva Sousa, Evangelos E. Milios, Lilian Berton:
Word sense disambiguation: an evaluation study of semi-supervised approaches with word embeddings. 1-8 - Lorenzo Perino, Silvia Cascianelli, Marco Masseroli:
Hybrid Evolutionary Framework for Selection of Genes Predicting Breast Cancer Relapse. 1-8 - Cédric Gilon, Jean-Marie Grégoire, Hugues Bersini:
Forecast of paroxysmal atrial fibrillation using a deep neural network. 1-7 - Yuning He, Johann Schumann:
A Framework for the Analysis of Deep Neural Networks in Aerospace applications using Bayesian Statistics. 1-9 - Sergio Angelastro, Stefano Ferilli:
Process Model Modularization by Subprocess Discovery. 1-8 - Kentaro Takeda, Hiroyuki Torikai:
A novel hardware-efficient CPG model based on asynchronous coupling of cellular automaton phase oscillators for a hexapod robot. 1-8 - Xiangli Ji, Bairong Li, Yuesheng Zhu:
TAM-Net: Temporal Enhanced Appearance-to-Motion Generative Network for Video Anomaly Detection. 1-8 - Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso:
Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. 1-6 - Mischa Schmidt, Julia Gastinger, Sebastien Nicolas, Anett Schülke:
HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. 1-8 - Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini:
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. 1-8 - Peiye Liu, Wu Liu, Huadong Ma, Zhewei Jiang, Mingoo Seok:
KTAN: Knowledge Transfer Adversarial Network. 1-7 - Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang:
Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. 1-7 - Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial:
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. 1-7 - Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. 1-8 - Alex Vigneron, Jean Martinet:
A critical survey of STDP in Spiking Neural Networks for Pattern Recognition. 1-9 - Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy:
Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. 1-8 - Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia:
Data augmentation process to improve deep learning-based NER task in the automotive industry field. 1-8 - Devdhar Patel, Robert Kozma:
Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. 1-7 - Félix Martel, Tamara Dupuy, Alexandre Moly, Stéphan Chabardès, Tetiana Aksenova:
Evaluation criteria for closed-loop adaptive dynamic discrete-continuous brain-computer interfaces: clinical study case with tetraplegic patient. 1-10 - Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni:
One-Shot Unsupervised Domain Adaptation for Object Detection. 1-8 - Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin, Michael Blumenstein:
Why Not? Tell us the Reason for Writer Dissimilarity. 1-7 - Matheus Inoue, Carlos Henrique Quartucci Forster, Antonio Carlos dos Santos:
Semantic Hierarchy-based Convolutional Neural Networks for Image Classification. 1-8 - Weidong Liu, Xin Liu, Wenbo Qiao:
Bayesian Graph Convolutional Neural Network based Patent Valuation Model. 1-6 - Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi:
Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. 1-8 - Patryk Najgebauer, Rafal Scherer, Leszek Rutkowski:
Fully Convolutional Network for Removing DCT Artefacts From Images. 1-8 - Sevegni Odilon Clement Allognon, Alceu de Souza Britto Jr., Alessandro L. Koerich:
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor. 1-8 - Jiantao Wu, Lin Wang:
ArcGrad: Angular Gradient Margin Loss for Classification. 1-8 - Raka Jovanovic, Sertac Bayhan, Islam Safak Bayram:
An Online Model for Scheduling Electric Vehicle Charging at Park-and-Ride Facilities for Flattening Solar Duck Curves. 1-8 - Jia Cai, Guanglong Xu, Wenwen Ye:
Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm. 1-8 - Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. 1-9 - Caetano Mazzoni Ranieri, Patrícia A. Vargas, Roseli A. F. Romero:
Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach. 1-8 - Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet:
Performance measures for evolving predictions under delayed labelling classification. 1-8 - Chandrasekhar Paseddula, Suryakanth V. Gangashetty:
Acoustic Scene Classification using Single Frequency Filtering Cepstral Coefficients and DNN. 1-6 - Vivien Kraus, Khalid Benabdeslem, Bruno Canitia:
Laplacian-based Semi-supervised Multi-Label Regression. 1-8 - Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Pruning Depthwise Separable Convolutions for MobileNet Compression. 1-8 - Devi Lakshmidevinivas, Meryem Deniz, S. N. Balakrishnan:
Neural Network Augmented Intelligent Iterative Learning Control for a Nonlinear System. 1-8 - Anil Goyal, Jihed Khiari:
Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data. 1-8 - Daniel Kohlsdorf, Denise Herzing, Thad Starner:
An Auto Encoder For Audio Dolphin Communication. 1-7 - Xi Meng, Limin Quan, Junfei Qiao:
A Self-Organizing Modular Neural Network for Nonlinear System Modeling. 1-8 - Binjing Li, Keli Xie, Siyuan Lu, Jun Lin, Zhongfeng Wang:
LSTM-Based Quantitative Trading Using Dynamic K-Top and Kelly Criterion. 1-8 - Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen:
Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model. 1-8 - Filip Guzy, Michal Wozniak:
Employing dropout regularization to classify recurring drifted data streams. 1-7 - Will Serrano:
The BlockChain Neural Network: Neuron as a Service. 1-9 - Ayat Abedalla, Malak Abdullah, Mahmoud Al-Ayyoub, Elhadj Benkhelifa:
2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays. 1-6 - Nicolás I. Tapia, Pablo A. Estévez:
On the Information Plane of Autoencoders. 1-8 - Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. 1-8 - Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao:
TimeSAN: A Time-Modulated Self-Attentive Network for Next Point-of-Interest Recommendation. 1-8 - Xueyuan She, Priyabrata Saha, Daehyun Kim, Yun Long, Saibal Mukhopadhyay:
SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference. 1-8 - Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klüner, Oliver Kramer:
Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. 1-7 - Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer:
GRANT: Ground-Roaming Autonomous Neuromorphic Targeter. 1-8 - Arijit Nandi, Nanda Dulal Jana, Swagatam Das:
Improving the Performance of Neural Networks with an Ensemble of Activation Functions. 1-7 - Thalita R. Silva, Audeliano Wolian Li, Edson O. Pamplona:
Automated Trading System for Stock Index Using LSTM Neural Networks and Risk Management. 1-8 - Wei Gao, Ahmad Hashemi-Sakhtsari, Mark D. McDonnell:
End-to-End Phoneme Recognition using Models from Semantic Image Segmentation. 1-7 - Divya Acharya, Shivani Goel, Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj:
A Long Short Term Memory Deep Learning Network for the Classification of Negative Emotions Using EEG Signals. 1-8 - Alexander Demidovskij, Eugene Smirnov:
Effective Post-Training Quantization Of Neural Networks For Inference on Low Power Neural Accelerator. 1-7 - Beatrice Lazzerini, Francesco Pistolesi:
A neural classifier to evaluate the role of image resolution in the perception of color differences. 1-6 - Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad:
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. 1-6 - Sumi Dey, Olac Fuentes:
Predicting Solar X-ray Flux Using Deep Learning Techniques. 1-7 - Luca Pedrelli, Xavier Hinaut:
Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech. 1-8 - Guoyu Zuo, Chengwei Zhang, Hongxing Liu, Daoxiong Gong:
Low-Quality Rendering-Driven 6D Object Pose Estimation from Single RGB Image. 1-8 - Shaoqing Tan, Ruoyu Yang:
Hybrid Pooling Networks for Few-shot Learning. 1-8 - Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu:
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks. 1-6 - Farshid Faal, Jia Yuan Yu, Ketra A. Schmitt:
Transformer Decoder Based Reinforcement Learning Approach for Conversational Response Generation. 1-8 - Xuanyang Zhang, Hao Liu, Zhanxing Zhu, Zenglin Xu:
Learning to Search Efficient DenseNet with Layer-wise Pruning. 1-8 - Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim:
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. 1-8 - Kun Deng, Shaochun Wu:
Improving Relation Classification by Incorporating Dependency and Semantic Information. 1-6 - Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung:
Code Pointer Network for Binary Function Scope Identification. 1-7 - Zehua Chen, Bruno Scalzo Dees, Danilo P. Mandic:
A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation. 1-6 - Jen-Tzung Chien, Po-Chien Hsu:
Stochastic Curiosity Maximizing Exploration. 1-8 - Ying Li, Chenxi Wang, Yu Cao, Benyuan Liu, Joanna Tan, Yan Luo:
Human pose estimation based in-home lower body rehabilitation system. 1-8 - Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. 1-8 - Paulo R. Cavalin, Marisa Vasconcelos, Marcelo Grave, Claudio S. Pinhanez:
Creating Corpora for Seq2Seq Tone Rephrasing Using Social Media Posts. 1-7 - Alessio Martino, Enrico De Santis, Antonello Rizzi:
An Ecology-based Index for Text Embedding and Classification. 1-8 - Wei Zhang, Zhaoxu Yu:
Adaptive Neural Consensus Control for Nonlinear Strict-Feedback Multiagent Systems With Switching Directed Topology. 1-8 - Kalyani Selvarajah, Kumaran Ragunathan, Ziad Kobti, Mehdi Kargar:
Dynamic Network Link Prediction by Learning Effective Subgraphs using CNN-LSTM. 1-8 - Dong Yang, Yuhua Tang:
Adaptive Inner-reward Shaping in Sparse Reward Games. 1-8 - Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean:
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. 1-8 - Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. 1-8 - Akshaya Ramaswamy, Jayavardhana Gubbi, P. Balamuralidhar:
Video object segmentation using spatio-temporal deep network. 1-8 - K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman:
CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. 1-8 - Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan:
Implicit Discriminator in Variational Autoencoder. 1-8 - Xiaoxiao Li, Sheng Bi, Yongxing Wang, Min Dong, Zhangshao Chen:
A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments. 1-7 - Karl M. Koerich, Mohammad Esmailpour, Sajjad Abdoli, Alceu S. Britto Jr., Alessandro L. Koerich:
Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms. 1-7 - Laura M. P. Mariño, Francisco de A. T. de Carvalho:
A new batch SOM algorithm for relational data with weighted medoids. 1-8 - Peiyang Liu, Wei Ye, Xiangyu Xi, Tong Wang, Jinglei Zhang, Shikun Zhang:
Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings. 1-8 - Jay Nandy, Wynne Hsu, Mong-Li Lee:
Approximate Manifold Defense Against Multiple Adversarial Perturbations. 1-8 - Junde Li, Navyata Gattu, Swaroop Ghosh:
FAuto: An Efficient GMM-HMM FPGA Implementation for Behavior Estimation in Autonomous Systems. 1-8 - Chun Wang, Zhi Wang, Wei Xi, Zhao Yang, Gairui Bai, Ruimeng Wang, Meichen Duan:
MufiNet: Multiscale Fusion Residual Networks for Medical Image Segmentation. 1-7 - Tomasz Grzywalski, Adam Maciaszek, Riccardo Belluzzo, Krzysztof Szarzynski, Mateusz Piecuch, Honorata Hafke-Dys:
Joint Heart Sounds Segmentation and Murmur Detection with Masked Loss Function. 1-6 - Liangru Xie, Hao Wang, Zhuowei Wang, Lianglun Cheng:
DHD-Net: A Novel Deep-Learning-based Dehazing Network. 1-7 - Annunziata Paviglianiti, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation. 1-7 - Gabriel Salomon, Rayson Laroca, David Menotti:
Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines. 1-8 - Marius Jahrens, Thomas Martinetz:
Solving Raven's Progressive Matrices with Multi-Layer Relation Networks. 1-6 - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Avarua, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone:
Neural Network-based Artifact Detection in Local Field Potentials Recorded from Chronically Implanted Neural Probes. 1-8 - Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl:
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. 1-8 - Shamik Bose, Timothy Barao, Xiuwen Liu:
Explaining AI for Malware Detection: Analysis of Mechanisms of MalConv. 1-8 - Leandro Maia Silva, Fabrício Vivas Andrade, Luiz Filipe Menezes Vieira:
A Continuous Restricted Boltzmann Machine and Logistic Regression Framework for Circuit Classification. 1-8 - Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang:
Unsupervised Learning of Disentangled Location Embeddings. 1-8 - Shuto Hongo, Teijiro Isokawa, Nobuyuki Matsui, Haruhiko Nishimura, Naotake Kamiura:
Constructing Convolutional Neural Networks Based on Quaternion. 1-6 - Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt:
Feature Visualization for 3D Point Cloud Autoencoders. 1-9 - Tania Re, Giuseppe Vitiello:
On the brain-mind visual experiences. 1-8 - Yang Yu, Lei Zhang, Jiakai Shen, Qingcai Wang, Guiquan Liu:
Seismic Event Detection via Deep Multi-Task Learning. 1-6 - Boyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis:
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. 1-8 - João W. M. de Souza, Gabriel Bandeira Holanda, Roberto F. Ivo, Shara S. A. Alves, Suane Pires P. da Silva, Virgínia Xavier Nunes, Luiz Lannes Loureiro, C. H. Dias-Silva, Pedro Pedrosa Rebouças Filho:
Predicting body measures from 2D images using Convolutional Neural Networks. 1-6 - Yameng Peng, Vic Ciesielski:
Stylised Image Generation From Deep Neural Networks. 1-8 - Lewis Campbell Boyd, Vanja Popovic, Jan Paul Siebert:
Deep Reinforcement Learning Control of Hand-Eye Coordination with a Software Retina. 1-8 - Ocean Wu, Yun Sing Koh, Giovanni Russello:
GPU-based State Adaptive Random Forest for Evolving Data Streams. 1-8 - Kaoutar Benlamine, Younès Bennani, Nistor Grozavu, Basarab Matei:
Quantum Collaborative K-means. 1-7 - Xiaolong Fan, Maoguo Gong, Hao Li, Yue Wu, Shanfeng Wang:
Gated Graph Pooling with Self-Loop for Graph Classification. 1-7 - Yu Guo, Zhenzhen Li, Zhen Li, Gang Xiong, Minghao Jiang, Gaopeng Gou:
FLAGB: Focal Loss based Adaptive Gradient Boosting for Imbalanced Traffic Classification. 1-8 - Mohamad Ballout, Mohammad Tuqan, Daniel C. Asmar, Elie A. Shammas, George E. Sakr:
The benefits of synthetic data for action categorization. 1-8 - Moritz Seiler, Heike Trautmann, Pascal Kerschke:
Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. 1-8 - Igor Khokhlov, Ninad Ligade, Leon Reznik:
Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices. 1-8 - Pankaj Pandey, Krishna Prasad Miyapuram:
Classifying Oscillatory Signatures of Expert vs NonExpert Meditators. 1-7 - Ferdinand Küsters, Peter Schichtel, Sheraz Ahmed, Andreas Dengel:
Conceptual Explanations of Neural Network Prediction for Time Series. 1-6 - Masato Ishikawa, Hiroyuki Torikai:
A Novel Design Method of Multi-Compartment Soma-Dendrite-Spine Model having Nonlinear Asynchronous CA Dynamics and its Applications to STDP-based Learning and FPGA Implementation. 1-8 - Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman:
Black-Box Saliency Map Generation Using Bayesian Optimisation. 1-8 - Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. 1-10 - Rim Haidar, Irena Koprinska, Bryn Jeffries:
Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains. 1-8 - Baqar Rizvi, Ammar Belatreche, Ahmed Bouridane, Kamlesh Mistry:
Stock Price Manipulation Detection based on Autoencoder Learning of Stock Trades Affinity. 1-8 - Xu Li, Jinghua Zhu:
Attention and Graph Matching Network for Retrieval-Based Dialogue System with Domain Knowledge. 1-7 - Dipayan Dewan, Lidia Ghosh, Biswadeep Chakraborty, Abir Chowdhury, Amit Konar, Atulya K. Nagar:
Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. 1-8 - Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia:
Temporal Calibrated Regularization for Robust Noisy Label Learning. 1-8 - Cheng Pan, Jie Tan:
Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method. 1-8 - Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. 1-8 - Chao Yang, Wenbin Yao, Xiaoyong Li:
Cross-Scale Correlation Stereo Network. 1-6 - Grzegorz Dudek:
Data-Driven Randomized Learning of Feedforward Neural Networks. 1-8 - Yi-Ling Liu, Alessio Lomuscio:
MRobust: A Method for Robustness against Adversarial Attacks on Deep Neural Networks. 1-8 - Ke Wang, Ning Chen, Ting Chen:
Joint Medical Ontology Representation Learning for Healthcare Predictions. 1-7 - Bashar Awwad Shiekh Hasan, Kate Kelly:
Bayesian Stress Testing of Models in a Classification Hierarchy. 1-8 - Zeyu Zhang, Zheng Liu, Qiyun Zhou, Yanwen Qu:
Cross Message Passing Graph Neural Network. 1-7 - Yunzhe Sun, Gang Yang, Dayong Ding, Gangwei Cheng, Jieping Xu, Xirong Li:
A GAN-based Domain Adaptation Method for Glaucoma Diagnosis. 1-8 - Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad:
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease. 1-8 - Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. 1-7 - Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik:
Probabilistic Neural Network - parameters adjustment in classification task. 1-8 - Yi Zhang, Jundong Shen, Zhecheng Zhang, Lei Zhang, Chongjun Wang:
Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. 1-8 - Krittaphat Pugdeethosapol, Morgan Bishop, Dennis Bowen, Qinru Qiu:
Automatic Image Labeling with Click Supervision on Aerial Images. 1-8 - Waldyr Lourenco de Freitas, Sarajane M. Peres, Valdinei Freire, Lucas Fernandes Brunialti:
OvNMTF Algorithm: an Overlapping Non-Negative Matrix Tri-Factorization for Coclustering. 1-8 - Wen Zhang, Dongrui Wu:
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation. 1-8 - Luis Felipe Borja-Borja, Jorge Azorín López, Marcelo Saval-Calvo, Andrés Fuster Guilló:
Deep Learning Architecture for Group Activity Recognition using Description of Local Motions*. 1-8 - Tarek Khorshed, Mohamed N. Moustafa, Ahmed Rafea:
Learning & Visualizing Genomic Signatures of Cancer Tumors using Deep Neural Networks. 1-8 - Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov:
Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. 1-8 - Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali:
CCCNet: An Attention Based Deep Learning Framework for Categorized Counting of Crowd in Different Body States. 1-8 - Weiqin Ying, Junhui Li, Yu Wu, Kaijie Zheng, Yali Deng, Jiachen Li:
U-Net with Dense Encoder, Residual Decoder and Depth-wise Skip Connections. 1-6 - Simyung Chang, Keuntek Lee, Shobhit Jain, Cheul-Hee Hahm:
BIBNet: An Efficient Super Resolution with Bottleneck-In-Bottleneck. 1-8 - Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco:
Improving STDP-based Visual Feature Learning with Whitening. 1-8 - Shuo Liu, Jinlong Jiao, Ziping Zhao, Judith Dineley, Nicholas Cummins, Björn W. Schuller:
Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. 1-7 - Wei Luo, Akib Mashrur, Antonio Robles-Kelly, Gang Li:
Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. 1-8 - Matthew McGuigan, Jacqueline Christmas:
Remote Extraction of Latent Fingerprints (RELF). 1-8 - Shuo Wang, Leandro L. Minku:
AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes. 1-8 - Gulrukh Turabee, Georgina Cosma, Vincenzo Madonna, Paolo Giangrande, Muhammad Raza Khowja, Gaurang Vakil, Chris Gerada, Michael Galea:
Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. 1-7 - Andrey V. Savchenko:
Sequential Analysis with Specified Confidence Level and Adaptive Convolutional Neural Networks in Image Recognition. 1-8 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. 1-8 - Shiqi Wu, Xiangrong Zhang, Xin Wang, Chen Li, Licheng Jiao:
Scene Attention Mechanism for Remote Sensing Image Caption Generation. 1-7 - Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley:
Scaling Active Inference. 1-8 - Yinlong Zhu, Yi Zhang:
M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. 1-8 - Li Qian, Jing Liu:
Safe Reinforcement Learning via Probabilistic Timed Computation Tree Logic. 1-8 - Svetlana N. Yanushkevich, Adrian Stoica, Peter Shmerko, W. Gareth J. Howells, Keeley A. Crockett, Richard M. Guest:
Cognitive Identity Management: Synthetic Data, Risk and Trust. 1-8 - Shadi Alamoudi, Xia Hong, Hong Wei:
Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering. 1-8 - Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis:
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. 1-7 - Xiaohui Zhu, Toshiharu Sugawara:
Meta-Reward Model Based on Trajectory Data with k-Nearest Neighbors Method. 1-8 - Qian Wang, Neelanjan Bhowmik, Toby P. Breckon:
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. 1-8 - Weidong Tian, Rencai Zhou, Zhongqiu Zhao:
Cascading Top-Down Attention for Visual Question Answering. 1-7 - Ankita Singh, Shayok Chakraborty:
Deep Active Transfer Learning for Image Recognition. 1-9 - Jessica Sharmin Rahman, Tom Gedeon, Sabrina B. Caldwell, Richard Jones:
Brain Melody Informatics: Analysing Effects of Music on Brainwave Patterns. 1-8 - Kai Hu, Shuo Tian, Shasha Guo, Nan Li, Li Luo, Lei Wang:
Recurrent Neural Architecture Search based on Randomness-Enhanced Tabu Algorithm. 1-8 - Jinjin Guo, Binbin Qiu, Liangjie Ming, Yunong Zhang:
Explicit Linear Dual-Multistep Methods Applied to ZNN Illustrated via Discrete Time-Dependent Linear and Nonlinear Inequalities System Solving. 1-6 - Walter D. Bennette, Karsten Maurer, Sean Sisti:
Harnessing Adversarial Distances to Discover High-Confidence Errors. 1-10 - Ahmed Adda, Hadjira Benoudnine:
A Novel Blending Hilbert -Kolmogorov Approach for Epileptic Seizures detection. 1-7 - Konstantinos Bacharidis, Antonis A. Argyros:
Improving Deep Learning Approaches for Human Activity Recognition based on Natural Language Processing of Action Labels. 1-8 - Huimin Xie, Xinghai Xu, Yuling Li, Wenjing Hong, Jia Shi:
Model Predictive Control Guided Reinforcement Learning Control Scheme. 1-8 - Raisa Dzhamtyrova, Yuri Kalnishkan:
Prediction with Expert Advice for Value at Risk. 1-8 - Muhammad Taufiq Pratama, Sangwook Kim, Seiichi Ozawa, Takenao Ohkawa, Yuya Chonan, Hiroyuki Tsuji, Noriyuki Murakami:
Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields. 1-7 - Ziqiang Li, Gouhei Tanaka:
Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction. 1-9 - Shuang Dai, Fanlin Meng:
Energy Forecasting with Building Characteristics Analysis. 1-7 - Ricardo Grunitzki, Gabriel de Oliveira Ramos:
On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem. 1-9 - Yao Chen, Hefei Ling, Jiazhong Chen, Lei Wu, Yuxuan Shi:
Lightweight Action Recognition with Sequence-Specific Global Context. 1-8 - Pavel Tolmachev, Jonathan H. Manton:
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. 1-8 - Junshuai Yu, Qi Huang, Xiaofei Zhou, Ying Sha:
IARNet: An Information Aggregating and Reasoning Network over Heterogeneous Graph for Fake News Detection. 1-9 - Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle:
WW-Nets: Dual Neural Networks for Object Detection. 1-8 - Caio Mário Mesquita, Renato A. de Oliveira, Adriano César Machado Pereira:
Combining an LSTM neural network with the Variance Ratio Test for time series prediction and operation on the Brazilian stock market. 1-8 - Qian Wang, Wenxi Li, Songjian Chen, Rui Feng:
A Dynamic-Attention on Crowd Region with Physical Optical Flow Features for Crowd Counting. 1-8 - Mengnan Song, Jiasong Wang, Tongtong Zhang, Guoguang Zhang, Ruijun Zhang, Suisui Su:
Effective Automated Feature Derivation via Reinforcement Learning for Microcredit Default Prediction. 1-8 - Tariq Mahmood Khan, Syed Saud Naqvi, Muhammad Arsalan, Muhamamd Aurangzeb Khan, Haroon Ahmed Khan, Muhammad Adnan Haider:
Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation. 1-8 - Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok:
Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. 1-7 - Yong Yuan, Chen Chen, Xiyuan Hu, Silong Peng:
EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search. 1-8 - Yuanbin Zhu, Chenghong Gu, Furong Li:
Cross-Domain Data Fusion On Distribution Network Voltage Estimation with D-S Evidence Theory. 1-6 - Mingfei Lu, Lei Xing, Nanning Zheng, Badong Chen:
Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion. 1-6 - Antonio García Díaz, Hugues Bersini:
Self-Optimisation of Dense Neural Network Architectures: An Incremental Approach. 1-8 - Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng:
Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. 1-6 - Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun:
Cascade modeling with multihead self-attention. 1-8 - Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Leveraging the Manycore Architecture of the Loihi Spiking Processor to Perform Quasi-Complete Constraint Satisfaction. 1-8 - Yuxuan Zhao, Jin Yang, Jinlong Lin, Dunshan Yu, Xixin Cao:
A 3D Convolutional Neural Network for Emotion Recognition based on EEG Signals. 1-6 - Haodi Hou, Jing Huo, Yang Gao:
Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation. 1-7 - Tianchi Zhao, Bo Jiang, Ming Li, Ravi Tandon:
Regret Analysis of Stochastic Multi-armed Bandit Problem with Clustered Information Feedback. 1-8 - Paolo Arena, Carmelo Fabrizio Blanco, Alessia Li Noce, Salvatore Taffara, Luca Patanè:
Learning traversability map of different robotic platforms for unstructured terrains path planning. 1-8 - Zhenhao Hu, Chao Peng, Cheng He, Haibin Cai:
IO-aware Factorization Machine for User Response Prediction. 1-8 - Yasutoshi Ida, Yasuhiro Fujiwara:
Improving Generalization Performance of Adaptive Learning Rate by Switching from Block Diagonal Matrix Preconditioning to SGD. 1-8 - Yao Qiang, Xin Li, Dongxiao Zhu:
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. 1-8 - Sha Luo, S. Hamidreza Kasaei, Lambert Schomaker:
Accelerating Reinforcement Learning for Reaching Using Continuous Curriculum Learning. 1-8 - Liao Cheng, Ziheng Chen, Jiangtao Ren:
Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning. 1-8 - Imran Razzak, Tariq Mahmood Khan:
One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection. 1-8 - Francesco Mercaldo, Antonella Santone, Francesco Tariello, Giuseppe Peter Vanoli:
Hourly Global Solar Radiation Reconstruction Applying Machine Learning. 1-8 - Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Improving Image Autoencoder Embeddings with Perceptual Loss. 1-7 - Francisco Gomez-Donoso, Edmanuel Cruz, Miguel Cazorla, Stewart Worrall, Eduardo M. Nebot:
Using a 3D CNN for Rejecting False Positives on Pedestrian Detection. 1-6 - Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia:
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. 1-8 - Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. 1-8 - Adedapo Alabi, Ali A. Minai, Dieter Vanderelst:
One Shot Spatial Learning through Replay in a Hippocampus-Inspired Reinforcement Learning Model. 1-8 - Vikas Chauhan, Aruna Tiwari, Shivvrat Arya:
Multi-Label classifier based on Kernel Random Vector Functional Link Network. 1-7 - Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao:
Shift-Invariant Convolutional Network Search. 1-7 - Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. 1-8 - Zikang Wang, Linjing Li, Daniel Dajun Zeng:
A Re-Ranking Framework for Knowledge Graph Completion. 1-8 - Wen Zhang, Xiaoyong Li, Aolong Zhou, Kaijun Ren, Junqiang Song:
pcIRM: Complex Ideal Ratio Masking for Speaker-Independent Monaural Source Separation with Utterance Permutation Invariant Training. 1-8 - Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Xiangsheng Wei, Yi Liang, Hao Yang:
DVKCM: Knowledge-guided Conversation Generation with Dynamic Vocabulary. 1-8 - Marvin C. Santillan, Arnulfo P. Azcarraga:
Poem Generation using Transformers and Doc2Vec Embeddings. 1-7 - Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng:
Attitudinal Choquet Integral-Based Stochastic Multicriteria Acceptability Analysis. 1-7 - Saumitra Mishra, Emmanouil Benetos, Bob L. Sturm, Simon Dixon:
Reliable Local Explanations for Machine Listening. 1-8 - Marcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho:
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines. 1-8 - Minsong Liu, Yuanheng Zhu, Dongbin Zhao:
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. 1-7 - Kohei Nakai, Takashi Matsubara, Kuniaki Uehara:
Att-DARTS: Differentiable Neural Architecture Search for Attention. 1-8 - Debadatta Dash, Paul Ferrari, Jun Wang:
Decoding Speech Evoked Jaw Motion from Non-invasive Neuromagnetic Oscillations. 1-8 - Vinicius B. Cardoso, André Seidel Oliveira, Avelino Forechi, Pedro Azevedo, Filipe Wall Mutz, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
A Large-Scale Mapping Method Based on Deep Neural Networks Applied to Self-Driving Car Localization. 1-8 - Subhash Chand Yogi, Vibhu Kumar Tripathi, Archit Krishna Kamath, Laxmidhar Behera:
Real-time Trajectory Tracking of a Quadrotor using Adaptive Backstepping Controller and RNN based Uncertainty Observer. 1-8 - Aosong Feng, Priyadarshini Panda:
Energy-efficient and Robust Cumulative Training with Net2Net Transformation. 1-7 - Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann:
Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation. 1-8 - Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray:
Survey on Automated End-to-End Data Science? 1-9 - Ming Li, Zhao-Hui Sun, Weihui He, Siqi Qiu, Bo Liu:
Rolling Bearing Fault Diagnosis under Variable Working Conditions Based on Joint Distribution Adaptation and SVM. 1-8 - L. K. P. Vignesh, Avinash Achar, Gokul Karthik:
Dynamic Bus Arrival Time Prediction: A temporal difference learning approach. 1-8 - Prayas Jain, Mridula Verma, Kaushal Kumar Shukla:
Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms. 1-6 - Xu Zhang, Ruixu Cao, Zuyu Zhang, Ying Xia:
Crowd Flow Forecasting with Multi-Graph Neural Networks. 1-7 - Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection using Knowledge Distillation. 1-7 - Matt Ross, Nareg Berberian, Sylvain Chartier:
Should I Stay or Should I Grow? A Dynamic Self-Governed Growth for Determining Hidden Layer Size in a Multilayer Perceptron. 1-8 - Jakub Nowak, Marcin Korytkowski, Rafal Scherer:
Discovering Sequential Patterns by Neural Networks. 1-6 - Andres Robles-Durazno, Naghmeh Moradpoor, James McWhinnie, Gordon Russell:
Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features. 1-8 - Yan Zhou, Wei Jiang, Po Song, Yipeng Su, Tao Guo, Jizhong Han, Songlin Hu:
Graph Convolutional Networks for Target-oriented Opinion Words Extraction with Adversarial Training. 1-7 - Rahma Fourati, Boudour Ammar, Yaochu Jin, Adel M. Alimi:
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. 1-8 - Nicholas Evans, Jo Plested, Tom Gedeon:
Exploring the Correlation Between Random Convolutional Architectures and the Trained Equivalent. 1-6 - Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He:
Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model. 1-8 - Subhankar Banerjee, Shayok Chakraborty:
Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications. 1-10 - Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Robert Sabourin, Luiz E. S. Oliveira:
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings. 1-8 - Christopher Briggs, Zhong Fan, Peter Andras:
Federated learning with hierarchical clustering of local updates to improve training on non-IID data. 1-9 - Steven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly:
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. 1-8 - Francesco Bardozzo, Sebastian Cano Uribe, Andrea G. Russo, Mateo Jiménez Castaño, Mattia delli Priscoli, Fabrizio Esposito, Roberto Tagliaferri:
Motor strength classification with machine learning approaches applied to anatomical neuroimages. 1-8 - Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban:
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. 1-6 - Rene Sturgeon, François Rivest:
Automatic Policy Decomposition through Abstract State Space Dynamic Specialization. 1-7 - Laxmi R. Iyer, Yansong Chua:
Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity. 1-8 - Yongchao Yang, Jianxin Zhang, Qian Wang, Bin Liu:
Deep High-order Asymmetric Supervised Hashing for Image Retrieval. 1-7 - Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals:
SoC Kohonen Maps Based on Stochastic Computing. 1-7 - Tanik Saikh, Haripriya B., Asif Ekbal, Pushpak Bhattacharyya:
A Deep Transfer Learning Approach for Fake News Detection. 1-8 - Jen-Tzung Chien, Ching-Wei Huang:
Stochastic Adversarial Learning for Domain Adaptation. 1-7 - Carlos Francisco Moreno-García, Pamela Johnston, Bello Garkuwa:
Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. 1-7 - Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton:
Representing Temporal Dependencies in Smart Home Activity Recognition for Health Monitoring. 1-8 - Eyal Zakkay, Amjad Abu-Rmileh, Amir B. Geva, Oren Shriki:
Asynchronous Brain Computer Interfaces Using Echo State Networks. 1-8 - Sandeep Kumar, Amit K. Shukla, Pranab K. Muhuri:
Isolation Forest Based Multi-Source Unsupervised Transfer Learning for Missing GDP Prediction. 1-8 - Xin Li, Zhen Huang, Feng Liu, Changjian Wang, Minghao Hu, Shiyi Xu, Yuxing Peng:
RAD: Reinforced Attention Decoder Model On Question Generation. 1-8 - Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya:
A Transformer based Approach for Identification of Tweet Acts. 1-8 - Franck Romuald Fotso Mtope, Bo Wei:
Region-DH: Region-based Deep Hashing for Multi-Instance Aware Image Retrieval. 1-7 - Cédric Simar, Mathieu Petieau, Anita Cebolla, Axelle Leroy, Gianluca Bontempi, Guy Cheron:
EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband. 1-4 - Rui Xu, Weizhong Yan:
A Comparison of GANs-Based Approaches for Combustor System Fault Detection. 1-8 - Ismael C. S. Araujo, Adenilton J. da Silva:
Quantum ensemble of trained classifiers. 1-8 - Xinya You, Yajie Zhao, Mingyuan Sun:
Two-stage Strategy for Small-footprint Wake-up-word Speech Recognition System. 1-6 - Efe Camci, Domenico Campolo, Erdal Kayacan:
Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images. 1-7 - Kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya, Andy Way:
Syntax-Informed Interactive Neural Machine Translation. 1-8 - Peter Boyd, Honghai Liu:
A-mode Ultrasound Driven Sensor Fusion for Hand Gesture Recognition. 1-6 - Zhihan Li, Youjian Zhao, Haowen Xu, Wenxiao Chen, Shangqing Xu, Yilin Li, Dan Pei:
Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing. 1-8 - Nicola Webb, Ariel Ruiz-Garcia, Mark Elshaw, Vasile Palade:
Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots. 1-8 - Guilherme Vieira, Marcos Eduardo Valle:
Extreme Learning Machines on Cayley-Dickson Algebra Applied for Color Image Auto-Encoding. 1-8 - Mathieu Seurin, Philippe Preux, Olivier Pietquin:
"I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions. 1-8 - Péter Almási, Róbert Moni, Bálint Gyires-Tóth:
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World. 1-8 - Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak:
Fake News Detection from Data Streams. 1-8 - Gabriel Moraes, Anderson Mozart, Pedro Azevedo, Marcos Piumbini, Vinicius B. Cardoso, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue:
Image-Based Real-Time Path Generation Using Deep Neural Networks. 1-8 - Nicolò Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti:
Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. 1-8 - Israel Raul Tiñini Alvarez, Guillermo Sahonero-Alvarez:
Cross-View Gait Recognition Based on U-Net. 1-7 - Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou:
Improving Abstractive Text Summarization with History Aggregation. 1-9 - Andrea Cini, Slobodan Lukovic, Cesare Alippi:
Cluster-based Aggregate Load Forecasting with Deep Neural Networks. 1-8 - Arthur Sena Lins Caldas, Eanes Torres Pereira, Niago Moreira Nobre Leite, Arthur Dimitri Brito Oliveira, Ellen Ribeiro Lucena:
Towards Automatic EEG Signal Denoising by Quality Metric Optimization. 1-7 - Isaac J. Sledge, José C. Príncipe:
Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. 1-7 - Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou:
Underwater object detection using Invert Multi-Class Adaboost with deep learning. 1-8 - Rudolf J. Szadkowski, Jan Faigl:
Neurodynamic Sensory-Motor Phase Binding for Multi-Legged Walking Robots. 1-8 - Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala:
Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. 1-8 - Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. 1-8 - Nana Liu, Zeshui Xu, Hangyao Wu, Peijia Ren, Fanlin Meng:
An Inverse Prospect Theory Based-Approach for Linear Ordinal Ranking Aggregation with Its Application in Site Selection of Electric Vehicle Charging Station. 1-8 - Stanislaw Osowski, Tomasz Les:
Deep Learning Ensemble for Melanoma Recognition. 1-7 - Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella:
ADMM Consensus for Deep LSTM Networks. 1-8 - Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann:
Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function. 1-9 - Athanasios Tsiligkaridis, Jing Zhang, Hiroshi Taguchi, Daniel Nikovski:
Personalized Destination Prediction Using Transformers in a Contextless Data Setting. 1-7 - Abhishek Pradhan, Ketan Kumar Todi, Anbarasan Selvarasu, Atish Sanyal:
Knowledge Graph Generation with Deep Active Learning. 1-8 - Kamlesh Mistry, Baqar Rizvi, Chris Rook, Sadaf Iqbal, Li Zhang, Colin Paul Joy:
A Multi-Population FA for Automatic Facial Emotion Recognition. 1-8 - Mandar Gogate, Kia Dashtipour, Peter Bell, Amir Hussain:
Deep Neural Network Driven Binaural Audio Visual Speech Separation. 1-7 - Liliana Antão, Armando Sousa, Luís Paulo Reis, Gil Gonçalves:
Learning to Play Precision Ball Sports from scratch: a Deep Reinforcement Learning Approach. 1-8 - João Antônio Chagas Nunes, David Macedo, Cleber Zanchettin:
AM-MobileNet1D: A Portable Model for Speaker Recognition. 1-8 - Takaya Ueda, Ikuko Nishikawa:
Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation. 1-7 - Hangyu Deng, Yulong Wang, Jia Luo, Jinglu Hu:
Similitude Attentive Relation Network for Click-Through Rate Prediction. 1-8 - Ankur Kamboj, Ravi Prakash, Jayant Kumar Mohanta, Laxmidhar Behera:
Discrete-Time Lyapunov based Kinematic Control of Robot Manipulator using Actor-Critic Framework. 1-7 - Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering. 1-10 - Qianlong Wang, Jiangtao Ren:
Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching. 1-7 - Yongxuan Zhang, Jun Yan:
Semi-Supervised Domain-Adversarial Training for Intrusion Detection against False Data Injection in the Smart Grid. 1-7 - Ji Wang, Qiaohong Chen, Haolei Pei, Qi Sun, Yubo Jia:
Dynamic Global-Local Attention Network Based On Capsules for Text Classification. 1-8 - Chen Zhao, Yongzheng Zhang, Yipeng Wang:
A Feature Ensemble-based Approach to Malicious Domain Name Identification from Valid DNS Responses. 1-7 - Zhilong Hong, Qifei Zhou, Rong Zhang, Weiping Li, Tong Mo:
Legal Feature Enhanced Semantic Matching Network for Similar Case Matching. 1-8 - Mauajama Firdaus, Naveen Thangavelu, Asif Ekbal, Pushpak Bhattacharyya:
Persona aware Response Generation with Emotions. 1-8 - Haiyang Liu, Cheng Zhang:
Reinforcement Learning based Neural Architecture Search for Audio Tagging. 1-8 - Kakeru Mitsuno, Jun'ichi Miyao, Takio Kurita:
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. 1-8 - Konstantinos Drossos, Stylianos I. Mimilakis, Shayan Gharib, Yanxiong Li, Tuomas Virtanen:
Sound Event Detection with Depthwise Separable and Dilated Convolutions. 1-7 - Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. 1-8 - Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. 1-9 - Mohit Goyal, Rajan Goyal, Brejesh Lall:
Improved Polynomial Neural Networks with Normalised Activations. 1-8 - Yujiang He, Janosch Henze, Bernhard Sick:
Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. 1-8 - Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam:
Deep Learning Based Approach for Fresh Produce Market Price Prediction. 1-7 - Kyle Martin, Nirmalie Wiratunga, Sadiq Sani:
Locality Sensitive Batch Selection for Triplet Networks. 1-8 - Tung Nguyen, Jing Liu, Hung The Nguyen, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. 1-8 - Thomas Gorman, Hadi Larijani, Ayyaz-Ul-Haq Qureshi:
Voice over LTE Quality Evaluation Using Convolutional Neural Networks. 1-7 - Yuanyuan Tao, Jun Li, Jianhua Xu:
Multi-label Feature Selection Method via Maximizing Correlation-based Criterion with Mutation Binary Bat Algorithm. 1-8 - Narsi Reddy, Reza Derakhshani:
Emotion Detection using Periocular Region: A Cross-Dataset Study. 1-6 - Tao Ma, Ying Tan:
Multiple Stock Time Series Jointly Forecasting with Multi-Task Learning. 1-8 - Conor Lynch, Christian O'Leary, Gary Smith, Rose Bain, Jacqueline Kehoe, Alex Vakaloudis, Richrd Linger:
A review of open-source machine learning algorithms for twitter text sentiment analysis and image classification. 1-9 - Zihao Chen, Bin Li:
Efficient Evolution for Neural Architecture Search. 1-7 - Chunpeng Wu, Hai Li:
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training. 1-8 - Adolfo Perrusquía, Wen Yu:
Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems. 1-7 - Travis Hammond, Dirk Jelle Schaap, Matthia Sabatelli, Marco A. Wiering:
Forest Fire Control with Learning from Demonstration and Reinforcement Learning. 1-8 - Marcos M. Raimundo, Fernando J. Von Zuben:
Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets. 1-8 - Andrea Cossu, Antonio Carta, Davide Bacciu:
Continual Learning with Gated Incremental Memories for sequential data processing. 1-8 - Jianrong Jiang, Hongxing Wang:
Multi-Grained Selection and Fusion for Fine-Grained Image Representation. 1-8 - Pedro B. C. Castro, Breno Krohling, André G. C. Pacheco, Renato A. Krohling:
An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms. 1-6 - Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu:
A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. 1-7 - Haojie Huang, Raymond K. Wong:
Deep Embedding for Relation Extraction on Insufficient Labelled Data. 1-8 - Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. 1-8 - Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. 1-6 - Guoliang Luo, Xin Zhao, Yang Tong, Qiang Chen, Zhiliang Zhu, Hao-Peng Lei, Juncong Lin:
Geometry Sampling for 3D Face Generation via DCGAN. 1-7 - Wenyue Hu, Aimin Zhou, Guixu Zhang:
A Classification Surrogate Model based Evolutionary Algorithm for Neural Network Structure Learning. 1-7 - Randy Tan, Naimul Mefraz Khan, Ling Guan:
Locality Guided Neural Networks for Explainable Artificial Intelligence. 1-8 - Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton:
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. 1-10 - Claudia Guerreiro, Erik Cambria, Hien T. Nguyen:
New Avenues in Mobile Tourism. 1-8 - Jinting Tang, Yongkai Huo, Shaoshi Yang, Jianmin Jiang:
A Viewport Prediction Framework for Panoramic Videos. 1-8 - Wenjie Huang, Junpei Zhong, Angelo Cangelosi:
Multiple Timescale and Gated Mechanisms for Action and Language Learning in Robotics. 1-7 - Dmitry Kazhdan, Zohreh Shams, Pietro Liò:
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. 1-8 - Yuning Cui, Dianxi Shi, Yongjun Zhang, Qianchong Sun:
Selective Feature Network for Object Detection. 1-8 - Yi Lei, Xifan Yao, Wocheng Chen, Junming Zhang, Jorn Mehnen, Erfu Yang:
Multiple Object Detection of Workpieces Based on Fusion of Deep Learning and Image Processing. 1-7 - Paul Best, Maxence Ferrari, Marion Poupard, Sébastien Paris, Ricard Marxer, Helena Symonds, Paul Spong, Hervé Glotin:
Deep Learning and Domain Transfer for Orca Vocalization Detection. 1-7 - Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang:
Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. 1-8 - Jiachen Zhao, Yongling Li, Haibo He, Fang Deng:
One-step Predictive Encoder - Gaussian Segment Model for Time Series Anomaly Detection. 1-7 - Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan:
Maximum Entropy Reinforcement Learning with Evolution Strategies. 1-8 - Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang, Neng Gao:
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences. 1-9 - Estera Kot, Zuzanna Krawczyk, Krzysztof Siwek, Piotr S. Czwarnowski:
U-Net and Active Contour Methods for Brain Tumour Segmentation and Visualization. 1-7 - Elizaveta Kharlova, Daniel C. May, Petr Musílek:
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention. 1-7 - Songbo Chen, Wenhu Tang, Tianyao Ji, Huiling Zhu, Ye Ouyang, Wenbo Wang:
Detection of Safety Helmet Wearing Based on Improved Faster R-CNN. 1-7 - Gonzalo Nápoles, Wouter Goossens, Quinten Moesen, Carlos Mosquera:
Fast k-Fuzzy-Rough Cognitive Networks. 1-8 - Tadeusz Szuba, Danuta Sztuba:
Can Adam Smith's Invisible Hand phenomenon be used for the analysis of Fourth Estate's impact and behavior? 1-8 - Carl Borngrund, Ulf Bodin, Fredrik Sandin:
Machine Vision for Construction Equipment by Transfer Learning with Scale Models. 1-8 - Xiang Li, Yijun Su, Neng Gao, Ji Xiang, Yuewu Wang:
User Alignment with Jumping Seed Alignment Information Propagation. 1-8 - Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Neural Reasoning, Fast and Slow, for Video Question Answering. 1-8 - Jason Ramapuram, Russ Webb:
Improving Discrete Latent Representations With Differentiable Approximation Bridges. 1-10 - Qi Huang, Junshuai Yu, Jia Wu, Bin Wang:
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter. 1-8 - Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet:
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. 1-8 - Douglas M. Souza, Jonatas Wehrmann, Duncan D. Ruiz:
Efficient Neural Architecture for Text-to-Image Synthesis. 1-8 - Hao Xu, Suping Wu:
3D Human Pose Estimation based on Center of Gravity. 1-7 - Kai Zhu, Meng Cao:
A Semantic Subgraphs Based Link Prediction Method for Heterogeneous Social Networks with Graph Attention Networks. 1-8 - Xi-tian Chen, Zhengjia Dai, Ying Lin:
Novel Use of Self-organizing Map for Q-matrix Calibration in Cognitive Diagnosis Assessment. 1-8 - Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan:
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. 1-7 - Shuyun Ji, Jinglin Li, Quan Yuan, Jiawei Lu:
Multi-Range Gated Graph Neural Network for Telecommunication Fraud Detection. 1-6 - Weiqing Huang, Yi Liu, Shao-yi Zhu, Siye Wang, Yanfang Zhang:
TSCNN: A 3D Convolutional Activity Recognition Network Based on RFID RSSI. 1-8 - Prakash Rajan, Krishna P. Miyapuram:
PsychFM: Predicting your next gamble. 1-6 - Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu:
Efficient Search for the Number of Channels for Convolutional Neural Networks. 1-8 - Mashud Rana, Ashfaqur Rahman, Jiong Jin:
A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. 1-8 - Amin Ullah, Khan Muhammad, Kilichbek Haydarov, Ijaz Ul Haq, Mi Young Lee, Sung Wook Baik:
One-Shot Learning for Surveillance Anomaly Recognition using Siamese 3D CNN. 1-8 - Kirsty Duncan, Ekaterina Komendantskaya, Robert J. Stewart, Michael A. Lones:
Relative Robustness of Quantized Neural Networks Against Adversarial Attacks. 1-8 - Leonardo Amado, Gabriel Paludo Licks, Matheus Marcon, Ramon Fraga Pereira, Felipe Meneguzzi:
Using Self-Attention LSTMs to Enhance Observations in Goal Recognition. 1-8 - Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva, Radoslava Kraleva, Velin Kralev, Miroslava Stefanova, Bilyana Genova:
STDP Training of Hierarchical Spike Timing Model of Visual Information Processing. 1-8 - Dongrui Wu, Chenfeng Guo, Feifei Liu, Chengyu Liu:
Active Stacking for Heart Rate Estimation. 1-8 - Kun Jing, Jungang Xu, Hui Xu:
NASABN: A Neural Architecture Search Framework for Attention-Based Networks. 1-7 - Kenneth Lai, Svetlana N. Yanushkevich:
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition. 1-7 - Philipp Grüning, Amir Madany Mamlouk:
Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments. 1-8 - Feng Wang, Fanshu Liao, Huiqing Zhu:
FPA-DNN: A Forward Propagation Acceleration based Deep Neural Network for Ship Detection. 1-8 - Jiasen Li, Jianxin Zhang, Qiule Sun, Hengbo Zhang, Jing Dong, Chao Che, Qiang Zhang:
Breast Cancer Histopathological Image Classification Based on Deep Second-order Pooling Network. 1-7 - Kin Wai Cheuk, Kat Agres, Dorien Herremans:
The Impact of Audio Input Representations on Neural Network based Music Transcription. 1-6 - Fabricio A. Breve, Carlos N. Fischer:
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation. 1-8 - Keqing He, Yuanmeng Yan, Weiran Xu:
Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. 1-8 - Vasileios Christou, Georgios Ntritsos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas:
Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. 1-8 - Jiaming Sun, Yunli Wang, Zhoujun Li:
An Improved Template Representation-based Transformer for Abstractive Text Summarization. 1-8 - Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao:
Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. 1-8 - Alexandre Maciel-Guerra, Grazziela P. Figueredo, Eliane Marti, Marcos J. C. Alcocer, Jamie Twycross:
Subspace-Based Dynamic Selection: A Proof of Concept Using Protein Microarray Data. 1-8 - Shriya T. P. Gupta, Basabdatta Sen Bhattacharya:
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study. 1-8 - Deepankar Nankani, Rashmi Dutta Baruah:
Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation. 1-8 - Maria Inês Silva, Roberto Henriques:
Exploring time-series motifs through DTW-SOM. 1-8 - Claudio Cevallos, Hiram Ponce, Ernesto Moya-Albor, Jorge Brieva:
Vision-Based Analysis on Leaves of Tomato Crops for Classifying Nutrient Deficiency using Convolutional Neural Networks. 1-7 - Celso André R. de Sousa:
Kernelized Constrained Gaussian Fields and Harmonic Functions for Semi-supervised Learning. 1-8 - Iti Chaturvedi, Jin Xiang:
Constrained Manifold Learning for Videos. 1-8 - Lingjuan Lyu:
Lightweight Crypto-Assisted Distributed Differential Privacy for Privacy-Preserving Distributed Learning. 1-8 - Simone Disabato, Alessandro Falcetta, Alessio Mongelluzzo, Manuel Roveri:
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service. 1-8 - Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram:
Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. 1-7 - Rui Li, Xiaobo Lu, Shuowei Li, Haipeng Yang, Jianfeng Qiu, Lei Zhang:
DLEP: A Deep Learning Model for Earthquake Prediction. 1-8 - Syed Naveed Hussain Shah, Dean Frederick Hougen:
Improved Stochastic Synapse Reinforcement Learning for Continuous Actions in Sharply Changing Environments. 1-8 - Zhengqing Wu, Robert W. Newcomb:
Analysis of the Dynamic Oscillatory Process of a Neural-type Cell (NTC) and Its Input Voltage Bounds. 1-7 - Mikel Gjergji, Vanessa Aparecida de Moraes Weber, Luiz Otávio Campos Silva, Rodrigo da Costa Gomes, Thiago Luís Alves Campos de Araújo, Hemerson Pistori, Marco A. Alvarez:
Deep Learning Techniques for Beef Cattle Body Weight Prediction. 1-8 - Yu-Ting Lan, Wei Liu, Bao-Liang Lu:
Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism. 1-6 - Bo Li, Zhonghao Sheng, Wei Ye, Jinglei Zhang, Kai Liu, Shikun Zhang:
Sliding Hierarchical Recurrent Neural Networks for Sequence Classification. 1-8 - Ayyaz-Ul-Haq Qureshi, Hadi Larijani, Nhamoinesu Mtetwa, Mehdi Yousefi, Abbas Javed:
An Adversarial Attack Detection Paradigm With Swarm Optimization. 1-7 - Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics. 1-8 - Henri De Plaen, Michaël Fanuel, Johan A. K. Suykens:
Wasserstein Exponential Kernels. 1-6 - Xianrui Wang, Hefei Ling, Jiazhong Chen, Ping Li:
Multi-Object Tracking Via Multi-Attention. 1-8 - Sumit Hazra, Priyankar Roy, Anup Nandy, Rafal Scherer:
A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications. 1-10 - Jing Chen, Yi He, Vijay Raghavan:
Learning with Partial Multi-Outlooks. 1-8 - Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He:
Nucleus Neural Network: A Data-driven Self-organized Architecture. 1-8 - Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. 1-8 - Achyut Mani Tripathi:
Enhancing Multivariate Time Series Classification Using LSTM and Evidence Feed Forward HMM. 1-7 - Gil Fidel, Ron Bitton, Asaf Shabtai:
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures. 1-8 - Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Malicious Collusion Detection in Mobile Environment by means of Model Checking. 1-6 - Jinlong Hu, Tenghui Li, Shoubin Dong:
GCN-LRP explanation: exploring latent attention of graph convolutional networks. 1-8 - Zehua Zhao, Min Gao, Fengji Luo, Yi Zhang, Qingyu Xiong:
LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection. 1-8 - Zhe Guan, Toru Yamamoto:
Design of a Reinforcement Learning PID controller. 1-6 - Mingyang Zhong, Brijesh K. Verma, Joseph Affum:
Multi-Receptive Atrous Convolutional Network for Semantic Segmentation. 1-8 - Zhen Cao, Sivanagaraja Tatinati, Andy W. H. Khong:
Controllable Question Generation via Sequence-to-Sequence Neural Model with Auxiliary Information. 1-7 - Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Multi-label learning for dynamic model type recommendation. 1-10 - Orfeas Menis-Mastromichalakis, Natasa Sofou, Giorgos Stamou:
Deep Ensemble Art Style Recognition. 1-8 - Daniel Rodrigues Ericeira, Filipe A. S. Rocha, Andrea G. C. Bianchi, Gustavo Pessin:
Early Failure Detection of Belt Conveyor Idlers by Means of Ultrasonic Sensing. 1-8 - Pegah Hozhabrierdi, Dunai Fuentes Hitos, Chilukuri K. Mohan:
Zero-Shot Source Code Author Identification: A Lexicon and Layout Independent Approach. 1-8 - Aman Jhunjhunwala, Jaeyoung Lee, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki:
Improved Policy Extraction via Online Q-Value Distillation. 1-8 - Andreas Krause, Michael Fairbank:
Baseline win rates for neural-network based trading algorithms. 1-6 - Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala:
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. 1-8 - Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. 1-8 - Gabriel Araújo De Souza, Márjory Da Costa-Abreu:
Automatic offensive language detection from Twitter data using machine learning and feature selection of metadata. 1-6 - June-Woo Kim, Ho-Young Jung, Minho Lee:
Vocoder-free End-to-End Voice Conversion with Transformer Network. 1-8 - Keeley A. Crockett, Matthew A. Garratt, Annabel Latham, Edwin Colyer, Sean Goltz:
Risk and Trust Perceptions of the Public of Artifical Intelligence Applications. 1-8 - Bethelhem Seifu Shawel, Tsegamlak T. Debella, Getinet Tesfaye, Yonas Y. Tefera, Dereje H. Woldegebreal:
Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach. 1-8 - Rose Fenwick, Hartmut Boesch, Ivan Tyukin:
Neural Networks for the Retrieval of Methane from the Sentinel-5 Precursor Satellite. 1-8 - Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Multi-Agent Pattern Formation: a Distributed Model-Free Deep Reinforcement Learning Approach. 1-8 - Maciej Kusy, Roman Zajdel, Jacek Kluska, Tomasz Zabinski:
Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem. 1-8 - James Lindsay, Sidney Gigivi:
A Novel way of Training a Neural Network with Reinforcement learning and without Back Propagation. 1-6 - Yuan Liu, Zhiping Lin:
Reinforced Sample Re-weighting for Pedestrian Attribute Recognition. 1-8 - Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser:
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. 1-8 - Humayun Kayesh, Md. Saiful Islam, Junhu Wang, Shikha Anirban, A. S. M. Kayes, Paul A. Watters:
Answering Binary Causal Questions: A Transfer Learning Based Approach. 1-9 - Praveen Palanisamy:
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning. 1-7 - Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection. 1-7 - Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy:
Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech. 1-7 - Joseph T. Colonel, Sam Keene:
Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis. 1-7 - Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar:
HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. 1-7 - Tariq Mahmood Khan, Faizan Abdullah, Syed Saud Naqvi, Muhammad Arsalan, Muhamamd Aurangzeb Khan:
Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation. 1-7 - Mariel Alfaro-Ponce, Isaac Chairez:
Bioinformatics-inspired non-parametric modelling of pharmacokinetics-pharmacodynamics systems using differential neural networks. 1-6 - Jasjeet Dhaliwal, Kyle Hambrook:
Compressive Recovery Defense: Defending Neural Networks Against ℓ2, ℓ∞, and ℓ0 Norm Attacks. 1-8 - Garrett E. Katz, Khushboo Gupta, James A. Reggia:
Reinforcement-based Program Induction in a Neural Virtual Machine. 1-8 - Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros:
Augmented Behavioral Cloning from Observation. 1-8 - Kallin Khan, Edward R. Ratner, Robert Ludwig, Amaury Lendasse:
Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints. 1-7 - Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee:
NASB: Neural Architecture Search for Binary Convolutional Neural Networks. 1-8 - Andrey V. Savchenko:
Event Recognition with Automatic Album Detection based on Sequential Grouping of Confidence Scores and Neural Attention. 1-8 - Wenming Jiang, Ying Zhao, Zehan Wang:
Risk-Controlled Selective Prediction for Regression Deep Neural Network Models. 1-8 - Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay:
Hybridization of Data and Model based Object Detection for Tracking in Flash Lidars. 1-6 - Hongming Li, Ying Ma, José C. Príncipe:
Cognitive Architecture for Video Games. 1-9 - Lídio Mauro Lima de Campos, Jherson Haryson Almeida Pereira, Danilo Souza Duarte, Roberto Célio Limão de Oliveira:
Bio-Inspired System for Electricity Price Forecast in the Brazilian Market. 1-8 - Ramazan Esmeli, Mohamed Bader-El-Den, Hassana Abdullahi, David Henderson:
Improving Session-Based Recommendation Adopting Linear Regression-Based Re-ranking. 1-8 - Norman L. Tasfi, Miriam A. M. Capretz:
Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay. 1-8 - Yuxuan Bai, Yu Wang, Bin Xia, Yun Li, Ziye Zhu:
Adversarial Named Entity Recognition with POS label embedding. 1-8 - Shu-Bin Zhang, Tingting Ji, Wen-Yuan Wang, Jin-Peng Zhang:
Application of PSO-GA&CGA in Sea-Clutter Doppler Spectrum Modeling. 1-8 - Keeley A. Crockett, James O'Shea, Wasiq Khan:
Automated Deception Detection of Males and Females From Non-Verbal Facial Micro-Gestures. 1-7 - Leon Palafox, Pedro Ortiz-Monasterio:
Predicting Gentrification in Mexico City using Neural Networks. 1-5 - Zhaoyuan Yang, Yang Zhao, Weizhong Yan:
Adversarial Vulnerability in Doppler-based Human Activity Recognition. 1-7 - Muhammad Abubakar Yamin, Jacopo Tessadori, Muhammad Usman Akbar, Michael Dayan, Vittorio Murino, Diego Sona:
Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity. 1-5 - Stepán Procházka, Roman Neruda:
Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks. 1-8 - Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa:
Information Ranking Using Optimum-Path Forest. 1-8 - Tobias Baumann, Thore Graepel, John Shawe-Taylor:
Adaptive Mechanism Design: Learning to Promote Cooperation. 1-7 - Olivia Keohane, Igor N. Aizenberg:
Impulse Noise Filtering using MLMVN. 1-8 - Wenfang Zhu, Weiwei Li, Xiuyi Jia:
Multi-Label Learning with Local Similarity of Samples. 1-8 - Jiafa Mao, Linlin Yu, Hui Yu, Yahong Hu, Weiguo Sheng:
A Transfer Learning Method with Multi-feature Calibration for Building Identification. 1-8 - Francesco Marchetti, Edmondo A. Minisci, Annalisa Riccardi:
Towards Intelligent Control via Genetic Programming. 1-8 - Jean Li, Jeremiah D. Deng, Dirk De Ridder, Divya Adhia:
Gender Classification of EEG Signals using a Motif Attribute Classification Ensemble. 1-8 - Xiaofei Zhang, Jiancheng Lv, Heng Zheng, Yongsheng Sang:
Attention-Based Multi-Model Ensemble for Automatic Cataract Detection in B-Scan Eye Ultrasound Images. 1-10 - Ali A. Alani, Georgina Cosma, Aboozar Taherkhani:
Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. 1-8 - Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv:
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. 1-8 - Jesús Benito-Picazo, Esteban J. Palomo, Enrique Domínguez, Antonio Díaz Ramos:
Image Clustering Using a Growing Neural Gas with Forbidden Regions. 1-7 - Aufar Zakiev, Tatyana Tsoy, Ksenia Shabalina, Evgeni Magid, Subir Kumar Saha:
Virtual Experiments on ArUco and AprilTag Systems Comparison for Fiducial Marker Rotation Resistance under Noisy Sensory Data. 1-6 - Nassim Abderrahmane, Benoît Miramond:
Neural coding: adapting spike generation for embedded hardware classification. 1-8 - Hannes De Meulemeester, Bart De Moor:
Unsupervised Embeddings for Categorical Variables. 1-8 - Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Interpreting Deep Models through the Lens of Data. 1-8 - Pravendra Singh, Vinay P. Namboodiri:
SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. 1-8 - Zhixin Li, Yara Sun, Suqin Tang, Canlong Zhang, Huifang Ma:
Adaptive Graph Convolutional Networks with Attention Mechanism for Relation Extraction. 1-8 - Chidimma Opara, Bo Wei, Yingke Chen:
HTMLPhish: Enabling Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis. 1-8 - Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. 1-8 - Simone Dari, Nikolay Kadrileev, Eyke Hüllermeier:
A Neural Network-Based Driver Gaze Classification System with Vehicle Signals. 1-7 - Juncheng Zhang, Quanfeng Li, Xiang Chang, Fei Chao, Chih-Min Lin, Longzhi Yang, Tuan-Tu Huynh, Ling Zheng, Changle Zhou, Changjing Shang:
A Novel Self-Organizing Emotional CMAC Network for Robotic Control*. 1-6 - Raj Patel, Carlotta Domeniconi:
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates. 1-8 - Wenyuan Zhang, Li Zhu, Lu Lu:
Improving the Style Adaptation for Unsupervised Cross-Domain Person Re-identification. 1-8 - Yu-Wei Wen, Chuan-Kang Ting:
Composing Bossa Nova by Evolutionary Computation. 1-8 - Somayeh Bakhtiari Ramezani, Alexander Sommers, Harish Kumar Manchukonda, Shahram Rahimi, Amin Amirlatifi:
Machine Learning Algorithms in Quantum Computing: A Survey. 1-8 - Alex Frid, Larry M. Manevitz:
Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. 1-8 - Faruk Ahmed, Md. Sultan Mahmud, Mohammed Yeasin:
Assistive System for Navigating Complex Realistic Simulated World Using Reinforcement Learning. 1-8 - Yingying Chen, Xinwen Hou:
An Improvement based on Wasserstein GAN for Alleviating Mode Collapsing. 1-7 - Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh:
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition. 1-8 - Nicolás I. Tapia, Pablo A. Estévez:
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection. 1-8 - Neil Dhir, Tomasz Rudny, Davide Zilli, Alessandra Tosi:
An Automatic Type-Inferential General Latent Feature Model. 1-8 - Johanna Watkins, Marcos Fabietti, Mufti Mahmud:
SENSE: a Student Performance Quantifier using Sentiment Analysis. 1-6 - Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler:
DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains. 1-8 - Mingming Li, Fuqing Zhu, Jiao Dai, Liangjun Zang, Yipeng Su, Jizhong Han, Songlin Hu:
A Rating Bias Formulation based on Fuzzy Set for Recommendation. 1-8 - M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. 1-8 - Mingjun Duan, Yubai Li:
Penalty-based Sequence Generative Adversarial Networks with Enhanced Transformer for Text Generation. 1-6 - Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi, Maoguo Gong:
Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation. 1-6 - Kaiwei Fu, Ruomin Zhu, Alon Loeffler, Joel Hochstetter, Adrian Diaz-Alvarez, Adam Z. Stieg, James K. Gimzewski, Tomonobu Nakayama, Zdenka Kuncic:
Reservoir Computing with Neuromemristive Nanowire Networks. 1-8 - Ahed Abugabah, Xiaochun Cheng, Jianfeng Wang:
Dynamic Graph Attention-Aware Networks for Session-Based Recommendation. 1-7 - Vincenzo Crescimanna, Bruce Graham:
The Variational InfoMax AutoEncoder. 1-8
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