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ORCIDIEEE Transactions on Artificial Intelligence, Volume 4
Volume 4, Number 1, February 2023
- Licheng Jiao
, Jie Chen, Fang Liu, Shuyuan Yang, Chao You, Xu Liu, Lingling Li, Biao Hou:
Graph Representation Learning Meets Computer Vision: A Survey. 2-22 - Licheng Jiao, Jie Gao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou:
Multiscale Representation Learning for Image Classification: A Survey. 23-43 - Shrikant Tiwari, Prasenjit Chanak, Sanjay Kumar Singh:
A Review of the Machine Learning Algorithms for Covid-19 Case Analysis. 44-59 - Zhihao Zhao, Shangqing Zhao, Samuel Cheng:
Group Ensemble Block: Subspace Diversity Improves Coarse-to-Fine Image Retrieval. 60-70 - Nicholas I. Arnold, Plamen Angelov, Peter M. Atkinson:
An Improved Explainable Point Cloud Classifier (XPCC). 71-80 - Aakansha Mishra, Ashish Anand, Prithwijit Guha:
Dual Attention and Question Categorization-Based Visual Question Answering. 81-91 - Sandipan Dhar, Nanda Dulal Jana, Swagatam Das:
An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion. 92-106 - Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. 107-120 - Zhehuang Huang, Jinjin Li:
Feature Subset Selection With Multi-Scale Fuzzy Granulation. 121-134 - Anshu Khurana, Om Prakash Verma:
Optimal Feature Selection for Imbalanced Text Classification. 135-147 - Zhaoqing Pan, Feng Yuan, Xu Wang, Long Xu, Xiao Shao, Sam Kwong:
No-Reference Image Quality Assessment via Multibranch Convolutional Neural Networks. 148-160 - V. Chandrakanth, V. S. N. Murthy, Sumohana S. Channappayya:
Siamese Cross-Domain Tracker Design for Seamless Tracking of Targets in RGB and Thermal Videos. 161-172 - Ravi Kant, Poonam Saini, Julee Kumari:
Long Short-Term Memory Auto-Encoder-Based Position Prediction Model for Fixed-Wing UAV During Communication Failure. 173-181 - Yulin He, Xuan Ye, De-Fa Huang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets. 182-196 - Jing Yang, Liufeng Jiang, Anbo Shen, Aiguo Wang:
Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation. 197-208
Volume 4, Number 2, April 2023
- Qurat-ul-Ain Arshad, Wazir Zada Khan, Faisal Azam, Muhammad Khurram Khan:
Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions. 210-228 - Arkaprabha Basu, Sourav Das, Sankha Subhra Mullick, Swagatam Das:
Do Preprocessing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection? An Explainable Analysis. 229-241 - Lin Zou, Han Leong Goh, Charlene Jin Yee Liew, Jessica Lishan Quah, Gary Tianyu Gu, Jun Jie Chew, Mukundaram Prem Kumar, Christine Gia Lee Ang, Andy Wee An Ta:
Ensemble Image Explainable AI (XAI) Algorithm for Severe Community-Acquired Pneumonia and COVID-19 Respiratory Infections. 242-254 - Zhenghan Fang, Junjie Bai, Xinyu Guo, Xin Wang, Feng Gao, Hao-Yu Yang, Bin Kong, Ying Hou, Kunlin Cao, Qi Song, Jun Xia, Youbing Yin:
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning. 255-267 - Ye Tian, Jingwen Pan, Shangshang Yang, Xingyi Zhang, Shuping He, Yaochu Jin:
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm. 268-281 - Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. 282-291 - Sixiao Zheng, Ke Fan, Yanxi Hou, Jianfeng Feng, Yanwei Fu:
Clustering by the Probability Distributions From Extreme Value Theory. 292-303 - Piyush Kaul, Brejesh Lall:
Projective Fisher Information for Natural Gradient Descent. 304-314 - Zhenyi Xu, Yu Kang, Yang Cao:
High-Resolution Urban Flows Forecasting With Coarse-Grained Spatiotemporal Data. 315-327 - Ranran Lou, Zhihan Lv, Mohsen Guizani:
Wave Height Prediction Suitable for Maritime Transportation Based on Green Ocean of Things. 328-337 - Qianjin Wang, Qiqiang Hong, Shang Wu, Wei Dai:
Multitarget Stochastic Configuration Network and Applications. 338-348 - Rohan Wadhawan, Tapan K. Gandhi:
Landmark-Aware and Part-Based Ensemble Transfer Learning Network for Static Facial Expression Recognition from Images. 349-361 - Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Robust Identification of Figurative Language in Personal Health Mentions on Twitter. 362-372 - Mohammed B. Abubaker, Bilal Babayigit:
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods. 373-382 - Davood Karimi, Ali Gholipour:
Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation. 383-397
Volume 4, Number 3, June 2023
- Hussein A. Abbass:
Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example. 399-401 - Yahya Almardeny, Alessio Benavoli, Noureddine Boujnah, Enrique Naredo:
A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences. 402-415 - DiJia Su, Difei Su, John M. Mulvey, H. Vincent Poor:
Optimizing Multidocument Summarization by Blending Reinforcement Learning Policies. 416-427 - Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak:
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing. 428-437 - Zongbao Yang, Shoubin Dong, Jinlong Hu:
Explainable Natural Language Inference via Identifying Important Rationales. 438-449 - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi:
Regressing Word and Sentence Embeddings for Low-Resource Neural Machine Translation. 450-463 - Shuai Zhao, Zhuoqian Liang, Jinming Wen, Jie Chen:
Sparsing and Smoothing for the seq2seq Models. 464-472 - Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu:
Discovering High Utility Episodes in Sequences. 473-486 - Yiru Zhang, Sébastien Destercke, Zuowei Zhang, Tassadit Bouadi, Arnaud Martin:
On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem. 487-496 - Jian Liu, Naveed Akhtar, Ajmal Mian:
Deep Reconstruction of 3-D Human Poses From Video. 497-510 - Anbarasu Sekar, Sutanu Chakraborti:
Modeling Tradeoffs Using Preference-Based Feedback in Session-Based Recommender Systems. 511-521 - Zhuoling Li, Haohan Wang, Tymoteusz Swistek, En Yu, Haoqian Wang:
Efficient Few-Shot Classification via Contrastive Pretraining on Web Data. 522-533 - Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability-Based Robust ENsemble Design. 534-548 - Shashi Suman, François Rivest, Ali Etemad:
Toward Personalization of User Preferences in Partially Observable Smart Home Environments. 549-561 - Linghao Kong, Wenjian Luo, Hongwei Zhang, Yang Liu, Yuhui Shi:
Evolutionary Multilabel Adversarial Examples: An Effective Black-Box Attack. 562-572 - Mehrin Kiani, Javier Andreu-Perez, Hani Hagras:
A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence. 573-586
Volume 4, Number 4, August 2023
- Hongtian Chen, Hao Luo, Nishchal Verma, Bin Jiang:
Guest Editorial: Special Issue on Artificial Intelligence Methods for Maintenance and Safety of Automation Systems. 589-591 - Xinmin Zhang, Hongyi Zhang, Zhihuan Song:
Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults. 592-601 - Qingchao Jiang, Ziwen Wang, Shifu Yan, Zhixing Cao:
Data-Driven Soft Sensing for Batch Processes Using Neural Network-Based Deep Quality-Relevant Representation Learning. 602-611 - Jing Wang, Ruixue Jia, Jinglin Zhou, Meng Zhou:
Mining Sequential Alarm Pattern Based on the Incremental Causality PrefixSpan Algorithm. 612-623 - Dayi Wang, Fangzhou Fu, Han Yu, Weimeng Chu, Zhigang Wu, Wenbo Li:
Artificial-Intelligence-Based Quantitative Fault Diagnosability Analysis of Spacecraft: An Information Geometry Perspective. 624-635 - Hao Ren, Zhiwen Chen, Xiaojun Liang, Chunhua Yang, Weihua Gui:
Association Hierarchical Representation Learning for Plant-Wide Process Monitoring by Using Multilevel Knowledge Graph. 636-649 - Li Tang, Meiying Yang, Yan-Jun Liu:
Fuzzy Observer Based Constraint Control for Switched Systems With Actuator Failures and Partially Unstable Subsystems. 650-660 - Muhammad Gibran Alfarizi, Jørn Vatn, Shen Yin:
An Extreme Gradient Boosting Aided Fault Diagnosis Approach: A Case Study of Fuse Test Bench. 661-668 - Qiang Liu, Yang Zhang, Gaochang Wu, Zizhu Fan:
Disturbance Robust Abnormality Diagnosis of Fused Magnesium Furnaces Using Deep Neural Networks. 669-678 - Li Guo, Runze Li, Bin Jiang:
Fault Detection and Diagnosis Using Statistic Feature and Improved Broad Learning for Traction Systems in High-Speed Trains. 679-688 - Chao Cheng, Xuedong Li, Pu Xie, Xiaoyue Yang:
Transfer-Learning-Aided Fault Detection for Traction Drive Systems of High-Speed Trains. 689-697 - Dan Yang, Xin Peng, Yusheng Lu, Haojie Huang, Weimin Zhong:
Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process. 698-708 - Yang Li, Yan Shi, Zhiyao Zhang, Ningyun Lu, Xiuli Wang, Enrico Zio:
Condition-Based Maintenance for Performance Degradation Under Nonperiodic Unreliable Inspections. 709-721 - Dong Li, Yiqi Liu, Daoping Huang, Chong Xu:
A Semisupervised Soft-Sensor of Just-in-Time Learning With Structure Entropy Clustering and Applications for Industrial Processes Monitoring. 722-733 - Lu Qian, Xingwei Zhao, Peifeng Liu, Zhenwei Zhang, Yaqiong Lv:
Design of Observer-Based Control With Residual Generator Using Actor-Critic Reinforcement Learning. 734-743 - Batuhan Gundogdu, Utku Pamuksuz, Jonathan H. Chung, Jessica M. Telleria, Peng Liu, Farrukh Khan, Paul J. Chang:
Customized Impression Prediction From Radiology Reports Using BERT and LSTMs. 744-753 - Guohua Wu, Mingfeng Fan, Jianmai Shi, Yanghe Feng:
Reinforcement Learning Based Truck-and-Drone Coordinated Delivery. 754-763 - Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Geng, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal:
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task. 764-777 - Keeley A. Crockett, Edwin Colyer, Luciano Gerber, Annabel Latham:
Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses. 778-791 - Carlos Ignacio Gutierrez:
Uncovering Incentives for Implementing AI Governance Programs: Evidence From the Field. 792-798 - Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao:
An Overview of Artificial Intelligence Ethics. 799-819 - Lionel Nganyewou Tidjon, Foutse Khomh:
The Different Faces of AI Ethics Across the World: A Principle-to-Practice Gap Analysis. 820-839 - Luis Oberste, Armin Heinzl:
User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning. 840-857 - Erico Tjoa, Cuntai Guan:
Quantifying Explainability of Saliency Methods in Deep Neural Networks With a Synthetic Dataset. 858-870 - Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen:
Targeted High-Utility Itemset Querying. 871-883 - Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Janick Edinger, Roger O. Smith, Md. Osman Gani:
Automated Surface Classification System Using Vibration Patterns - A Case Study With Wheelchairs. 884-895 - Leyla Khaleghi, Alireza Sepas-Moghaddam, Joshua A. Marshall, Ali Etemad:
Multiview Video-Based 3-D Hand Pose Estimation. 896-909 - Teck Kai Chan, Cheng Siong Chin:
Lightweight Convolutional-iConformer for Sound Event Detection. 910-921 - Yuhu Cheng, Yang Chen, Yi Kong, C. L. Philip Chen, Xuesong Wang:
Graph Dual Adversarial Network for Hyperspectral Image Classification. 922-932 - Mohamed H. Abdelpakey, Mohamed S. Shehata:
Nonoverlapping Feature Projection Convolutional Neural Network With Differentiable Loss Function. 933-945 - Xiaobo Hu, Wei Xu, Yi Gan, Jianbo Su, Jun Zhang:
Towards Disturbance Rejection in Feature Pyramid Network. 946-958 - Ziping Jiang, Yunpeng Wang, Chang-Tsun Li, Plamen Angelov, Richard Jiang:
Delve Into Neural Activations: Toward Understanding Dying Neurons. 959-971 - Zhichao Chen, Zhiqiang Ge:
Directed Acyclic Graphs With Tears. 972-983
Volume 4, Number 5, October 2023
- Wenjian Luo, Yaochu Jin, Catherine Huang:
Guest Editorial: Special Issue on Security and Privacy in Machine Learning. 986-987 - Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang:
PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. 988-1001 - Ying Hu, Yong Zhang, Dunwei Gong, Xiaoyan Sun:
Multiparticipant Federated Feature Selection Algorithm With Particle Swarm Optimization for Imbalanced Data Under Privacy Protection. 1002-1016 - Keke Huang, Xinyi Liu, Fanbiao Li, Chunhua Yang, Okyay Kaynak, Tingwen Huang:
A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications. 1017-1028 - Chuan Qin, Yuefeng Chen, Kejiang Chen, Xiaoyi Dong, Weiming Zhang, Xiaofeng Mao, Yuan He, Nenghai Yu:
Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks. 1029-1040 - Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Albert Y. Zomaya:
FastSlowMo: Federated Learning With Combined Worker and Aggregator Momenta. 1041-1050 - Alamgir Sardar, Saiyed Umer, Ranjeet Kumar Rout, Muhammad Khurram Khan:
A Secure and Efficient Biometric Template Protection Scheme for Palmprint Recognition System. 1051-1063 - Mohit Kumar, Ashish Kumar Bhandari:
Novel Unsupervised Learning Architecture for Exposure-Based Classification and Enhancement. 1064-1075 - Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq:
Evasion Generative Adversarial Network for Low Data Regimes. 1076-1088 - Yiwei Chen, Yu Pan, Daoyi Dong:
Residual Tensor Train: A Quantum-Inspired Approach for Learning Multiple Multilinear Correlations. 1101-1113 - Dongge Han, Michael J. Wooldridge, Alex Rogers, Olga Ohrimenko, Sebastian Tschiatschek:
Replication Robust Payoff Allocation in Submodular Cooperative Games. 1114-1128 - Litao Qiao, Weijia Wang, Sanjoy Dasgupta, Bill Lin:
Rethinking Logic Minimization for Tabular Machine Learning. 1129-1140 - Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. 1141-1153 - Mingqi Yuan, Man-On Pun, Dong Wang:
Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning. 1154-1164 - Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network With Gradual Input. 1165-1177 - Yingge Liu, Dawei Dai, Xiaoyu Tang, Shuyin Xia, Guoyin Wang:
Bi-LSTM Sequence Modeling for On-The-Fly Fine-Grained Sketch-Based Image Retrieval. 1178-1185 - Liangsheng Lu, Wei Zhai, Hongchen Luo, Yu Kang, Yang Cao:
Phrase-Based Affordance Detection via Cyclic Bilateral Interaction. 1186-1198 - Xuenong Hong, Tong Lin, Yiqiong Shi, Bah-Hwee Gwee:
GraphClusNet: A Hierarchical Graph Neural Network for Recovered Circuit Netlist Partitioning. 1199-1213 - Tengfei Zhang, Fumin Ma, Chen Peng, Yang Yu, Dong Yue, Chunxia Dou, Gregory M. P. O'Hare:
A Very-Short-Term Online PV Power Prediction Model Based on RAN With Secondary Dynamic Adjustment. 1214-1224 - Poulomi Pal, Manjunatha Mahadevappa:
Adaptive Multidimensional Dual Attentive DCNN for Detecting Cardiac Morbidities Using Fused ECG-PPG Signals. 1225-1235 - Chengwei Ai, Prayag Tiwari, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo:
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model. 1236-1245 - Yiwen Zhang, Liming Zhong, Hai Shu, Zhenhui Dai, Kaiyi Zheng, Zefeiyun Chen, Qianjin Feng, Xuetao Wang, Wei Yang:
Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. 1246-1257 - Omar el Ariss, Kaoning Hu:
ResNet-Based Parkinson's Disease Classification. 1258-1268 - Bo Xiao, Hak-Keung Lam, Chengbin Xuan, Ziwei Wang, Eric M. Yeatman:
Optimization for Interval Type-2 Polynomial Fuzzy Systems: A Deep Reinforcement Learning Approach. 1269-1280 - Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Benjamin Lartey, Kishor Datta Gupta:
An Online Unsupervised Streaming Features Selection Through Dynamic Feature Clustering. 1281-1292 - Yi Zhu, Xindong Wu, Yun Li, Jipeng Qiang, Yunhao Yuan:
Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder. 1293-1304 - Ning Wang, Hui Cao, Jun Zhao, Ruilin Chen, Dapeng Yan, Jie Zhang:
M2R2: Missing-Modality Robust Emotion Recognition Framework With Iterative Data Augmentation. 1305-1316 - Yu-Xin Zhang, Zhan-Li Sun, Zhigang Zeng, Kin-Man Lam:
Partial Point Cloud Registration With Deep Local Feature. 1317-1327 - Zhenyu Zhang, Yong Li, Jing Duan, Yixiu Guo, Zeyu Hou, Yilong Duan, Yijia Cao, Christian Rehtanz:
A Multistate Load State Identification Model Based on Time Convolutional Networks and Conditional Random Fields. 1328-1336 - Murari Mandal, Yashwanth Reddy Meedimale, M. Satish Kumar Reddy, Santosh Kumar Vipparthi:
Neural Architecture Search for Image Dehazing. 1337-1347 - Mateusz Ochal, Massimiliano Patacchiola, Jose Vazquez, Amos J. Storkey, Sen Wang:
Few-Shot Learning With Class Imbalance. 1348-1358 - Zhao Zhou, Zhaohui Wei, Jian Ren, Yingzeng Yin, Gert Frølund Pedersen, Ming Shen:
Two-Order Deep Learning for Generalized Synthesis of Radiation Patterns for Antenna Arrays. 1359-1368 - Tong Chen, Jiqiang Liu, Thar Baker, Yalun Wu, Yingxiao Xiang, Yike Li, Wenjia Niu, Endong Tong, Albert Y. Zomaya:
A Mutual Information-Based Assessment of Reverse Engineering on Rewards of Reinforcement Learning. 1089-1100
Volume 4, Number 6, December 2023
- Adrian P. Pope, Jaime S. Ide, Daria Micovic, Henry Díaz, Jason C. Twedt, Kevin Alcedo, Thayne T. Walker, David Rosenbluth, Lee Ritholtz, Daniel Javorsek:
Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials. 1371-1385 - Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee, Jong-Hwan Kim:
Writing in the Air: Unconstrained Text Recognition From Finger Movement Using Spatio-Temporal Convolution. 1386-1398 - K. Venkata Subbareddy, L. Nirmala Devi:
View Invariant Spatio-Temporal Descriptor for Action Recognition From Skeleton Sequences. 1399-1412 - Amirhossein Hajavi, Ali Etemad:
Fine-Grained Early Frequency Attention for Deep Speaker Representation Learning. 1413-1425 - Humayun Kayesh, Md. Saiful Islam, Junhu Wang:
Answering Binary Causal Questions Using Role-Oriented Concept Embedding. 1426-1436 - Yushu Zhang, Jiahao Zhao, Jiajia Jiang, Youwen Zhu, Liangmin Wang, Yong Xiang:
Recording Behaviors of Artificial Intelligence in Blockchains. 1437-1448 - Sanghai Guan, Jingjing Wang, Ruijie Zhu, Junhui Qian, Zhongxiang Wei:
Learning to Play Koi-Koi Hanafuda Card Games With Transformers. 1449-1460 - Himanshu Singh, Saurabh Suman, Badri Narayan Subudhi, Vinit Jakhetiya, Ashish Ghosh:
Action Recognition in Dark Videos Using Spatio-Temporal Features and Bidirectional Encoder Representations From Transformers. 1461-1471 - Naveen Madapana, Juan P. Wachs:
JSSE: Joint Sequential Semantic Encoder for Zero-Shot Event Recognition. 1472-1483 - Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
IBAttack: Being Cautious About Data Labels. 1484-1493 - Logan Markewich, Yubin Xing, Roy Ka-Wei Lee, Zhi Li, Seok-Bum Ko:
DReD-A Descriptive Relation Dataset for Expanding Relation Extraction. 1494-1503 - Wei Huang, Xin Shu, Zizhou Wang, Chaoyue Chen, Yang Zhang, Lei Zhang, Jianguo Xu:
Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation. 1504-1513 - Krishanu Nath, Manas Kumar Bera, Sarangapani Jagannathan:
Concurrent Learning-Based Neuroadaptive Robust Tracking Control of Wheeled Mobile Robot: An Event-Triggered Design. 1514-1525 - Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
FaceTopoNet: Facial Expression Recognition Using Face Topology Learning. 1526-1539 - Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri:
AdaInject: Injection-Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks. 1540-1548 - Xiaoyu Jiang, Zhiqiang Ge:
RAGAN: Regression Attention Generative Adversarial Networks. 1549-1563 - Mengge Du, Yuntian Chen, Dongxiao Zhang:
AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning. 1564-1578 - Islam I. Osman, Mohamed S. Shehata:
Few-Shot Learning Network for Out-of-Distribution Image Classification. 1579-1591 - Abhishek Mukhopadhyay, L. R. D. Murthy, Imon Mukherjee, Pradipta Biswas:
A Hybrid Lane Detection Model for Wild Road Conditions. 1592-1601 - Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang:
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation. 1602-1615 - Chaoda Liu, Ben Niu, Lei Liu, Xudong Zhao, Huanqing Wang, Huichuan Duan:
Event-Triggered Adaptive Bipartite Asymptotic Tracking Control Using Intelligent Technique for Stochastic Nonlinear Multiagent Systems. 1616-1626 - Amir Behjat, Nathan Maurer, Sharat Chidambaran, Souma Chowdhury:
Adaptive Neuroevolution With Genetic Operator Control and Two-Way Complexity Variation. 1627-1641 - Duo Xu, Faramarz Fekri:
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method. 1642-1653 - Zijie Guo, Hongru Ren, Hongyi Li, Qi Zhou:
Adaptive-Critic-Based Event-Triggered Intelligent Cooperative Control for a Class of Second-Order Constrained Multiagent Systems. 1654-1665 - Huai-Ning Wu, Mi Wang:
Distributed Adaptive Inverse Differential Game Approach to Leader's Behavior Learning for Multiple Autonomous Followers. 1666-1678 - Huan Li, Jun Fu, Tianyou Chai:
Hybrid Intelligent Dynamic Optimization of Switched Systems. 1679-1690 - Weizhe Li, Mike Mikailov, Weijie Chen:
Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing. 1691-1704 - Praneeth Nemani, Ghanta Sai Krishna, Nikhil Ramisetty, Bodicherla Digvijay Sri Sai, Santosh Kumar:
Deep Learning-Based Holistic Speaker Independent Visual Speech Recognition. 1705-1713 - Mohammad Khalid Pandit, Mahroosh Banday:
Variance-Guided Structured Sparsity in Deep Neural Networks. 1714-1723 - Alireza Esmaeilzehi, M. Omair Ahmad, M. N. S. Swamy:
Ultralight-Weight Three-Prior Convolutional Neural Network for Single Image Super Resolution. 1724-1738 - Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Feature-Guided Perturbation for Facial Attribute Classification. 1739-1751 - Abhisek Tiwari, Rishav Raj, Sriparna Saha, Pushpak Bhattacharyya, Sarbajeet Tiwari, Minakshi Dhar:
Toward Symptom Assessment Guided Symptom Investigation and Disease Diagnosis. 1752-1766 - Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh:
Memory-Augmented Lyapunov-Based Safe Reinforcement Learning: End-to-End Safety Under Uncertainty. 1767-1776 - Wending Yan, Aashish Sharma, Robby T. Tan:
Optical Flow Estimation in Dense Foggy Scenes With Domain-Adaptive Networks. 1777-1788 - Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong:
Learning Deep Asymmetric Tolerant Part Representation. 1789-1801
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