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ORCIDJustin Dauwels
Justin H. G. Dauwels
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- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering
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2020 – today
- 2024
[j49]Andrea Piazzoni
, Jim Cherian, Justin Dauwels, Lap-Pui Chau:
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25(1): 670-681 (2024)- [j48]Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels:
EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3652-3662 (2024) - [c182]Alan Hamo, Niki Ottenhof, Jan-Wiebe H. Korstanje, Justin Dauwels:
Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements. EMBC 2024: 1-4 - [c181]Shuoyan Zhao, Alan Hamo, Niki Ottenhof, Jan-Wiebe H. Korstanje, Justin Dauwels:
Prediction of Postinduction Hypotension by Machine Learning. EMBC 2024: 1-4 - [c180]Sinian Li, Doruk Barokas Profeta, Justin Dauwels:
MoReSo: A DNN Framework Expediting Content-Based Video Image Retrieval (CBVIR). EUSIPCO 2024: 551-555 - [c179]Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Mircea Lica, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels:
Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. EUSIPCO 2024: 967-971 - [c178]Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels:
αTC-VAE: On the relationship between Disentanglement and Diversity. ICLR 2024 - [c177]Amir Ghorbani Ghezeljehmeidan, Willem Dirk van Driel, Justin Dauwels:
Unveiling Hidden Anomalies: A Hybrid Approach for Surface Mounted Electronics. INDIN 2024: 1-6 - [c176]Zipeng Wang, Rick Butler, John van den Dobbelsteen, Benno H. W. Hendriks, Maarten Van der Elst, Justin Dauwels:
Towards Robust Object Detection in Unseen Catheterization Laboratories. MeMeA 2024: 1-6 - [i29]Cristian Meo, Ankush Roy, Mircea Lica, Junzhe Yin, Zeineb Bou Che, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels:
Extreme Precipitation Nowcasting using Transformer-based Generative Models. CoRR abs/2403.03929 (2024) - [i28]Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels:
Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. CoRR abs/2406.10108 (2024) - [i27]Cristian Meo, Ksenia Sycheva, Anirudh Goyal, Justin Dauwels:
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates. CoRR abs/2406.13046 (2024) - [i26]Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels:
Masked Generative Priors Improve World Models Sequence Modelling Capabilities. CoRR abs/2410.07836 (2024) - [i25]Cristian Meo, Akihiro Nakano, Mircea Lica, Aniket Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio:
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. CoRR abs/2410.15728 (2024) - [i24]Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels:
α-TCVAE: On the relationship between Disentanglement and Diversity. CoRR abs/2411.00588 (2024) - 2023
- [j47]Wei Yan Peh, Thangavel Prasanth, Yuanyuan Yao, John Thomas, Yee-Leng Tan, Justin Dauwels:
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG. Int. J. Neural Syst. 33(3): 2350012:1-2350012:17 (2023) - [j46]Hang Yu, Songwei Wu, Justin Dauwels:
Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 475-488 (2023) - [j45]Sharon Gannot, Zheng-Hua Tan, Martin Haardt, Nancy F. Chen, Hoi-To Wai, Ivan Tashev, Walter Kellermann, Justin Dauwels:
Data Science Education: The Signal Processing Perspective [SP Education]. IEEE Signal Process. Mag. 40(7): 89-93 (2023) - [j44]Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels:
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(1): 1325-1336 (2023) - [c175]Haoran Bi, Maksym Kyryliuk, Zhiyi Wang, Cristian Meo, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels:
Nowcasting of Extreme Precipitation Using Deep Generative Models. ICASSP 2023: 1-5 - [c174]Ruben Wijnands, Justin Dauwels, Ines Serra, Pieter Kruizinga, Aleksandra Badura, Borbála Hunyadi:
Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data. ICASSP Workshops 2023: 1-5 - [c173]Jinchen Zeng, Rick Butler, John van den Dobbelsteen, Benno H. W. Hendriks, Maarten Van der Elst, Justin Dauwels:
Automatic Camera Pose Estimation by Key-Point Matching of Reference Objects. ICASSP 2023: 1-5 - [c172]Yanbo Wang, Letao Liu, Justin Dauwels:
Slot-VAE: Object-Centric Scene Generation with Slot Attention. ICML 2023: 36020-36035 - [c171]Yi Han Victoria Chua, Hexin Liu, Leibny Paola García, Fei Ting Woon, Jinyi Wong, Xiangyu Zhang, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles:
MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization. INTERSPEECH 2023: 4109-4113 - [c170]Suzy J. Styles, Yi Han Victoria Chua, Fei Ting Woon, Hexin Liu, Leibny Paola García, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels:
Investigating model performance in language identification: beyond simple error statistics. INTERSPEECH 2023: 4129-4133 - [c169]Banishree Ghosh, Justin Dauwels:
A Data-Driven Approach to Estimate and Predict the Traffic Incidents' Queue Length. ITSC 2023: 2517-2522 - [c168]Sarat Chandra Nagavarapu, Anuj Abraham, Nithish Muthuchamy Selvaraj, Justin Dauwels:
A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds. SOLI 2023: 1-8 - [i23]Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau:
On the Simulation of Perception Errors in Autonomous Vehicles. CoRR abs/2302.11919 (2023) - [i22]Suzy J. Styles, Yi Han Victoria Chua, Fei Ting Woon, Hexin Liu, Leibny Paola García-Perera, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels:
Investigating model performance in language identification: beyond simple error statistics. CoRR abs/2305.18925 (2023) - [i21]Yanbo Wang, Letao Liu, Justin Dauwels:
Slot-VAE: Object-Centric Scene Generation with Slot Attention. CoRR abs/2306.06997 (2023) - 2022
- [j43]Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels:
Recurrent Affine Transform Encoder for Image Representation. IEEE Access 10: 18653-18666 (2022) - [j42]Banishree Ghosh, Justin Dauwels:
Comparison of different Bayesian methods for estimating error bars with incident duration prediction. J. Intell. Transp. Syst. 26(4): 420-431 (2022) - [j41]Bianca Burger, Karl-Heinz Nenning, Ernst Schwartz, Daniel S. Margulies, Alexandros Goulas, Hesheng Liu, Simon Neubauer, Justin Dauwels, Daniela Prayer, Georg Langs:
Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment. NeuroImage 247: 118770 (2022) - [j40]Satyajit Neogi, Justin Dauwels:
Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling. Pattern Recognit. 122: 108236 (2022) - [c167]Wei Yan Peh, Yuanyuan Yao, Justin Dauwels:
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG. EMBC 2022: 3599-3602 - [c166]Andrea Piazzoni, Roshan Vijay, Jim Cherian, Lyu Chen, Justin Dauwels:
Challenges in Virtual Testing of Autonomous Vehicles. ICARCV 2022: 416-421 - [c165]Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels:
CoPEM: Cooperative Perception Error Models for Autonomous Driving. ITSC 2022: 3934-3939 - [c164]Hexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur:
Enhancing Language Identification Using Dual-Mode Model with Knowledge Distillation. Odyssey 2022: 248-254 - [i20]Hexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur:
Enhance Language Identification using Dual-mode Model with Knowledge Distillation. CoRR abs/2203.03218 (2022) - [i19]Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels:
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR abs/2209.06094 (2022) - [i18]Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels:
CoPEM: Cooperative Perception Error Models for Autonomous Driving. CoRR abs/2211.11175 (2022) - 2021
- [j39]John Thomas, Thangavel Prasanth, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels:
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. 31(5): 2050074:1-2050074:16 (2021) - [j38]Wei Yan Peh, John Thomas, Elham Bagheri, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, Justin Dauwels:
Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. Int. J. Neural Syst. 31(6): 2150016:1-2150016:16 (2021) - [j37]Thangavel Prasanth, John Thomas, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels:
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. 31(8): 2150032:1-2150032:16 (2021) - [j36]Justin Dauwels:
Editorial: Celebration of the 30th Anniversary of IJNS. Int. J. Neural Syst. 31(12): 2103013:1-2103013:2 (2021) - [j35]Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels:
A Generic GPU-Accelerated Framework for the Dial-A-Ride Problem. IEEE Trans. Intell. Transp. Syst. 22(10): 6473-6488 (2021) - [j34]Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels:
Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields. IEEE Trans. Intell. Transp. Syst. 22(11): 6821-6832 (2021) - [c163]Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen:
R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. ICIP 2021: 1624-1628 - [c162]Hexin Liu, Leibny Paola García-Perera, Xinyi Zhang, Justin Dauwels, Andy W. H. Khong, Sanjeev Khudanpur, Suzy J. Styles:
End-to-End Language Diarization for Bilingual Code-Switching Speech. Interspeech 2021: 1489-1493 - [i17]Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen:
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery. CoRR abs/2107.05318 (2021) - 2020
- [j33]John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover:
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. 30(11): 2050030:1-2050030:17 (2020) - [j32]Yasir Tahir, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann:
A User Study of a Humanoid Robot as a Social Mediator for Two-Person Conversations. Int. J. Soc. Robotics 12(5): 1031-1044 (2020) - [j31]Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels:
Disruption Management for Dial-A-Ride Systems. IEEE Intell. Transp. Syst. Mag. 12(4): 219-234 (2020) - [j30]Hang Yu, Songwei Wu, Luyin Xin, Justin Dauwels:
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination. J. Mach. Learn. Res. 21: 124:1-124:54 (2020) - [j29]Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet:
Estimating Travel Time Distributions by Bayesian Network Inference. IEEE Trans. Intell. Transp. Syst. 21(5): 1867-1876 (2020) - [c161]Thangavel Prasanth, John Thomas, R. Yuvaraj, Jing Jing, Sydney S. Cash, Rima Chaudhari, Yee-Leng Tan, Rahul Rathakrishnan, Rohit Srivastava, Vinay Saini, M. Brandon Westover, Justin Dauwels:
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. EMBC 2020: 3703-3706 - [c160]Songwei Wu, Hang Yu, Justin Dauwels:
Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. ICASSP 2020: 3117-3121 - [c159]Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels:
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. IJCAI 2020: 3494-3500 - [c158]Rongkai Zhang, Anatolii Prokhorchuk, Justin Dauwels:
Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. IJCNN 2020: 1-8 - [i16]Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels:
Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles. CoRR abs/2001.11695 (2020) - [i15]Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira:
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. CoRR abs/2008.13443 (2020) - [i14]Hang Yu, Justin Dauwels:
Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models. CoRR abs/2009.07703 (2020)
2010 – 2019
- 2019
- [j28]Zhigang Tu, Wei Xie, Justin Dauwels, Baoxin Li, Junsong Yuan:
Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1423-1437 (2019) - [j27]Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan:
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition. IEEE Trans. Image Process. 28(6): 2799-2812 (2019) - [j26]Banishree Ghosh, Muhammad Tayyab Asif, Justin Dauwels, Ulrich Fastenrath, Hongliang Guo:
Dynamic Prediction of the Incident Duration Using Adaptive Feature Set. IEEE Trans. Intell. Transp. Syst. 20(11): 4019-4031 (2019) - [j25]Hang Yu, Luyin Xin, Justin Dauwels:
Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models. IEEE Trans. Signal Process. 67(24): 6468-6482 (2019) - [c157]Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yi Han Victoria Chua, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee:
Automated Verbal and Non-verbal Speech Analysis of Interviews of Individuals with Schizophrenia and Depression. EMBC 2019: 225-228 - [c156]Periyamolapalayam Allimuthu Karthick, Kai Rui Wan, R. Yuvaraj, Angela An Qi See, Nicolas Kon Kam King, Justin Dauwels:
Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier. EMBC 2019: 4164-4167 - [c155]Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels:
Adaptive Algorithm for Dial-A-Ride Problem with Vehicle Breakdown. ECC 2019: 2682-2688 - [c154]Songwei Wu, Hang Yu, Justin Dauwels:
Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection. ICASSP 2019: 2862-2866 - [c153]Ramdane Tami, Boussaad Soualmi, Abdelkrim Doufene, Javier Ibáñez, Justin Dauwels:
Machine learning method to ensure robust decision-making of AVs. ITSC 2019: 1217-1222 - [c152]Aakash Kumar Narayanan, Chaitra Pranesh, Sarat Chandra Nagavarapu, B. Anil Kumar, Justin Dauwels:
Data-driven Models for Short-term Travel Time Predictio. ITSC 2019: 1941-1946 - [c151]Jo-Yu Kuo, Abrar Sayeed, Nagacharan Teja Tangirala, Yi Han Victoria Chua, Justin Dauwels, Marcel Philipp Mayer:
Pedestrians' Acceptance of Personal Mobility Devices on the Shared Path: A Structural Equation Modelling Approach. ITSC 2019: 2349-2354 - [c150]Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira:
Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. ITSC 2019: 3043-3048 - [c149]Yi Han Victoria Chua, Justin Dauwels, Seng Chee Tan:
Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? LAK 2019: 11-20 - [c148]Yi Han Victoria Chua, Preman Rajalingam, Seng Chee Tan, Justin Dauwels:
EduBrowser: A Multimodal Automated Monitoring System for Co-located Collaborative Learning. LTEC 2019: 125-138 - [c147]Ajay Vishwanath, Aalind Singh, Yi Han Victoria Chua, Justin Dauwels, Nadia Magnenat-Thalmann:
Humanoid co-workers: How is it like to work with a robot? RO-MAN 2019: 1-6 - [c146]Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels:
Variational Bayesian Point Set Registration. VTC Fall 2019: 1-5 - [c145]Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels:
Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference. VTC Fall 2019: 1-5 - [c144]Jo-Yu Kuo, Nagacharan Teja Tangirala, Jeyakaran Murugesan, Abrar Sayeed, Yi Han Victoria Chua, Justin Dauwels, Marcel Philipp Mayer:
Experimental Analysis of Pedestrians' Discomfort Zone for Personal Mobility Devices on the Footpath. VTC Fall 2019: 1-5 - [i13]Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira:
Online Framework for Demand-Responsive Stochastic Route Optimization. CoRR abs/1902.09745 (2019) - [i12]Letao Liu, Martin Saerbeck, Justin Dauwels:
Affine Disentangled GAN for Interpretable and Robust AV Perception. CoRR abs/1907.05274 (2019) - [i11]Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels:
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields. CoRR abs/1907.11881 (2019) - [i10]Satyajit Neogi, Justin Dauwels:
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling. CoRR abs/1911.03667 (2019) - 2018
- [c143]Yuvaraj Rajamanickam, John Thomas, Tilmann Kluge, Justin Dauwels:
A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. ACSSC 2018: 368-372 - [c142]Subhasree Basu, Yi Han Victoria Chua, Mei Wah Lee, Wanyu Geraldine Lim, Tomasz Maszczyk, Zheng Guo, Justin Dauwels:
Towards a data-driven behavioral approach to prediction of insider-threat. IEEE BigData 2018: 4994-5001 - [c141]Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan:
Actor-Action Semantic Segmentation with Region Masks. BMVC 2018: 260 - [c140]Debsubhra Chakraborty, Shihao Xu, Zixu Yang, Yi Han Victoria Chua, Yasir Tahir, Justin Dauwels, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee:
Prediction of Negative Symptoms of Schizophrenia from Objective Linguistic, Acoustic and Non-verbal Conversational Cues. CW 2018: 280-283 - [c139]John Thomas, Luca Comoretto, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection. EMBC 2018: 3148-3151 - [c138]Jin Jing, Emile drAngremont, Sahar Zafar, Eric S. Rosenthal, Mohammad Tabaeizadeh, Senan Ebrahim, Justin Dauwels, M. Brandon Westover:
Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. EMBC 2018: 3394-3397 - [c137]Rongkai Zhang, Anuj Abraham, Soumya Dasgupta, Justin Dauwels:
Constrained Model Predictive Control using Kinematic Model of Vehicle Platooning in VISSIM Simulator. ICARCV 2018: 721-726 - [c136]Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. ICASSP 2018: 970-974 - [c135]Debsubhra Chakraborty, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Magnenat-Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing-Leet Tan, Jimmy Lee:
Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. ICASSP 2018: 6024-6028 - [c134]Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yasir Tahir, Tomasz Maszczyk, Yi Han Victoria Chua, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee:
Automatic Verbal Analysis of Interviews with Schizophrenic Patients. DSP 2018: 1-5 - [c133]Songguang Ho, Hong Wei Koh, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels:
Solving Time-dependent Dial-a-ride Problem using Greedy Ant Colony Optimization. ITSC 2018: 778-785 - [c132]Banishree Ghosh, Yuanzheng Zhu, Justin Dauwels:
Effectiveness of VMS Messages in Influencing the Motorists' Travel Behaviour. ITSC 2018: 837-842 - [c131]Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels:
GPU-Accelerated Tabu Search Algorithm for Dial-A-Ride Problem. ITSC 2018: 2519-2524 - [c130]Pallavi Mitra, Apratirn Choudhury, Vimal Rau Aparow, Giridharan Kulandaivelu, Justin Dauwels:
Towards Modeling of Perception Errors in Autonomous Vehicles. ITSC 2018: 3024-3029 - [c129]Michael Hoy, Zhigang Tu, Kang Dang, Justin Dauwels:
Learning to Predict Pedestrian Intention via Variational Tracking Networks. ITSC 2018: 3132-3137 - [c128]Anusha James, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Kerry Lee, Justin Dauwels:
Automated Classification of Classroom Climate by Audio Analysis. IWSDS 2018: 41-49 - [c127]Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yasir Tahir, Tomasz Maszczyk, Yi Han Victoria Chua, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee:
Automated Lexical Analysis of Interviews with Individuals with Schizophrenia. IWSDS 2018: 185-197 - [c126]Ishaan Gupta, Srivathsan Chakaravarthi Narasimman, Ravula Sugunakar Reddy, Justin Dauwels, Abhisek Ukil:
Implementation of a Cost Effective Gas Pipeline Monitoring System for Water Ingress Detection. Sarnoff Symposium 2018: 1-6 - [c125]Songguang Ho, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels:
Multi-atomic Annealing Heuristic for the Dial-a-ride Problem. SOLI 2018: 268-273 - [c124]Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels:
Deterministic Annealing for Depot optimization: Applications to the Dial-A-Ride Problem. SSCI 2018: 88-95 - [c123]Nagacharan Teja Tangirala, Anuj Abraham, Apratim Choudhury, Pranjal Vyas, Rongkai Zhang, Justin Dauwels:
Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication. SSCI 2018: 281-286 - [c122]Anusha James, Mohan Kashyap, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Justin Dauwels:
Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach. TALE 2018: 983-988 - [i9]Songguang Ho, Sarat Chandra Nagavarapu, Ramesh Ramasamy Pandi, Justin Dauwels:
Improved Tabu Search Heuristics for Static Dial-A-Ride Problem: Faster and Better Convergence. CoRR abs/1801.09547 (2018) - [i8]Songguang Ho, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels:
Multi-atomic Annealing Heuristic for Static Dial-a-ride Problem. CoRR abs/1807.02406 (2018) - [i7]Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan:
Actor-Action Semantic Segmentation with Region Masks. CoRR abs/1807.08430 (2018) - 2017
- [j24]Hang Yu, Wayne Isaac T. Uy, Justin Dauwels:
Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas. IEEE Trans. Signal Process. 65(3): 571-586 (2017) - [c121]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Automated epileptiform spike detection via affinity propagation-based template matching. EMBC 2017: 3057-3060 - [c120]Kang Dang, Michael Hoy, Justin Dauwels, Junsong Yuan:
Real-time hierarchical fusion system for semantic segmentation in offroad scenes. FUSION 2017: 1-6 - [c119]Srivathsan Chakaravarthi Narasimman, Ravula Sugunakar Reddy, Libo Wang, Abhisek Ukil, Justin Dauwels:
Water ingress detection in low-pressure gas pipelines using vibration sensors. IECON 2017: 3245-3250 - [c118]Michael Hoy, Justin Dauwels, Junsong Yuan:
Efficient ground object segmentation in 3D LIDAR based on cascaded mode seeking. ITSC 2017: 1-6 - [c117]Xiaoyue Jiang, Michael Hoy, Hang Yu, Justin Dauwels:
Linear-complexity stochastic variational Bayes inference for SLAM. ITSC 2017: 1-6 - [c116]Anatolii Prokhorchuk, Vishnu Prasad Payyada, Justin Dauwels, Patrick Jaillet:
Estimating travel time distributions using copula graphical lasso. ITSC 2017: 1-6 - [c115]Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels:
Development of a simulation platform to implement vehicle routing algorithms for large scale fleet management systems. ITSC 2017: 256-261 - [c114]Michael Hoy, Justin Dauwels, Junsong Yuan:
Efficient tracking of closely spaced objects in depth data using sequential dirichlet process clustering. Intelligent Vehicles Symposium 2017: 1099-1104 - [c113]Debsubhra Chakraborty, Yasir Tahir, Zixu Yang, Tomasz Maszczyk, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Lee:
Assessment and prediction of negative symptoms of schizophrenia from RGB+D movement signals. MMSP 2017: 1-6 - [c112]John Thomas, Tomasz Maszczyk, Nishant Sinha, Tilmann Kluge, Justin Dauwels:
Deep learning-based classification for brain-computer interfaces. SMC 2017: 234-239 - [c111]Soumya Dasgupta, Varunkumar Raghuraman, Apratim Choudhury, T. Nagacharan Teja, Justin Dauwels:
Merging and splitting maneuver of platoons by means of a novel PID controller. SSCI 2017: 1-8 - [c110]Banishree Ghosh, Justin Dauwels, Ulrich Fastenrath:
Analysis and prediction of the queue length for non-recurring road incidents. SSCI 2017: 1-8 - [c109]Kelvin Lee, Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet:
Estimation of travel time from taxi GPS data. SSCI 2017: 1-6 - [c108]Satyajit Neogi, Michael Hoy, Chaoqun Weng, Justin Dauwels:
Context based pedestrian intention prediction using factored latent dynamic conditional random fields. SSCI 2017: 1-8 - [c107]Twinkle Tripathy, Sarat Chandra Nagavarapu, Kaveh Azizian, Ramesh Ramasamy Pandi, Justin Dauwels:
Solving Dial-A-Ride Problems Using Multiple Ant Colony System with Fleet Size Minimisation. UKCI 2017: 325-336 - [i6]Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels:
Neurology-as-a-Service for the Developing World. CoRR abs/1711.06195 (2017) - 2016
- [j23]Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet:
Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. 17(7): 1816-1825 (2016) - [j22]Nikola Mitrovic, Aditya Narayanan, Muhammad Tayyab Asif, Ansar Rauf, Justin Dauwels, Patrick Jaillet:
On Centralized and Decentralized Architectures for Traffic Applications. IEEE Trans. Intell. Transp. Syst. 17(7): 1988-1997 (2016) - [j21]Hang Yu, Justin Dauwels:
Modeling Spatio-Temporal Extreme Events Using Graphical Models. IEEE Trans. Signal Process. 64(5): 1101-1116 (2016) - [c106]Zheng Zhang, Lee-Ling Sharon Ong, Kong Fang, Athul Matthew, Justin Dauwels, Ming Dao, H. Harry Asada:
Image classification of unlabeled malaria parasites in red blood cells. EMBC 2016: 3981-3984 - [c105]Lee-Ling S. Ong, Xinghua Zhang, Binu Kundukad, Justin Dauwels, Patrick Doyle, H. Harry Asada:
Detecting cell division of Pseudomonas aeruginosa bacteria from bright-field microscopy images with hidden conditional random fields. EMBC 2016: 3985-3988 - [c104]Federico Wadehn, Lukas Bruderer, Justin Dauwels, Vijay Sahdeva, Hang Yu, Hans-Andrea Loeliger:
Outlier-insensitive Kalman smoothing and marginal message passing. EUSIPCO 2016: 1242-1246 - [c103]Michael Hoy, Chaoqun Weng, Junsong Yuan, Justin Dauwels:
Bayesian tracking of multiple objects with vision and radar. ICARCV 2016: 1-6 - [c102]Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
Fast and efficient rejection of background waveforms in interictal EEG. ICASSP 2016: 744-748 - [c101]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Clustering of interictal spikes by dynamic time warping and affinity propagation. ICASSP 2016: 749-753 - [c100]Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Epileptiform spike detection via convolutional neural networks. ICASSP 2016: 754-758 - [c99]Yasir Tahir, Debsubhra Chakraborty, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann, Jimmy Lee:
Non-verbal speech analysis of interviews with schizophrenic patients. ICASSP 2016: 5810-5814 - [c98]Apratim Choudhury, Tomasz Maszczyk, Justin Dauwels, Chetan Belagal Math, Hong Li:
An Integrated Simulation Environment for Testing V2X Protocols and Applications. ICCS 2016: 2042-2052 - [c97]Sugunakar Sugunakar Reddy, Payal Gupta, Karkulali Pugalenthi, Himanshu Mishra, Abhisek Ukil, Justin Dauwels:
Pressure and flow variation in gas distribution pipeline for leak detection. ICIT 2016: 679-683 - [c96]Karkulali Pugalenthi, Himanshu Mishra, Abhisek Ukil, Justin Dauwels:
Leak detection in gas distribution pipelines using acoustic impact monitoring. IECON 2016: 412-416 - [c95]Himanshu Mishra, Karkulali Pugalenthi, Abhisek Ukil, Justin Dauwels:
Testbed for real-time monitoring of leak in low pressure gas pipeline. IECON 2016: 459-462 - [c94]Payal Gupta, Ankit Goyal, Justin Dauwels, Abhisek Ukil:
Bayesian detection of leaks in gas distribution networks. IECON 2016: 855-860 - [c93]Pushpendu Kar, R. Sugunakar Reddy, Payal Gupta, Justin Dauwels, Abhisek Ukil:
FLoGPN: A reputation based scheme for fault localization in gas pipeline network. IECON 2016: 4651-4656 - [c92]Hongwei Wang, Hang Yu, Michael Hoy, Justin Dauwels, Heping Wang:
Variational Bayesian dynamic compressive sensing. ISIT 2016: 1421-1425 - [c91]Hang Yu, Junwei Huang, Justin Dauwels:
Latent tree ensemble of pairwise copulas for spatial extremes analysis. ISIT 2016: 1730-1734 - [c90]Apratim Choudhury, Tomasz Maszczyk, Muhammad Tayyab Asif, Nikola Mitrovic, Chetan Belagal Math, Hong Li, Justin Dauwels:
An integrated V2X simulator with applications in vehicle platooning. ITSC 2016: 1017-1022 - [c89]Banishree Ghosh, Muhammad Tayyab Asif, Justin Dauwels, Wentong Cai, Hongliang Guo, Ulrich Fastenrath:
Predicting the duration of non-recurring road incidents by cluster-specific models. ITSC 2016: 1522-1527 - [c88]Hang Yu, Justin Dauwels:
Variational bayes learning of time-varying graphical models. MLSP 2016: 1-6 - [c87]Nishant Sinha, Tomasz Maszczyk, Zhang Wanxuan, Jonathan Tan, Justin Dauwels:
EEG hyperscanning study of inter-brain synchrony during cooperative and competitive interaction. SMC 2016: 4813-4818 - [p1]Martin Constable, Justin Dauwels, Shoko Dauwels, Rasheed Umer, Mengyu Zhou, Yasir Tahir:
Modelling Conversation. Context Aware Human-Robot and Human-Agent Interaction 2016: 81-111 - 2015
- [j20]Jordi Solé-Casals, François-Benoît Vialatte, Justin Dauwels:
Alternative Techniques of Neural Signal Processing in Neuroengineering. Cogn. Comput. 7(1): 1-2 (2015) - [j19]Jigang Liu, Dongquan Liu, Justin Dauwels, Hock Soon Seah:
3D Human motion tracking by exemplar-based conditional particle filter. Signal Process. 110: 164-177 (2015) - [j18]Wei Zhao, Justin Dauwels, Jianshu Cao:
The Effects of Cell Asynchrony on Gene Expression Levels: Analysis and Application to Plasmodium Falciparum. IEEE J. Biomed. Health Informatics 19(4): 1301-1307 (2015) - [j17]Muhammad Tayyab Asif, Kannan Srinivasan, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet:
Near-Lossless Compression for Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. 16(4): 1817-1826 (2015) - [j16]Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data. IEEE Trans. Intell. Transp. Syst. 16(5): 2949-2954 (2015) - [c86]Hang Yu, Justin Dauwels:
Variational inference for graphical models of multivariate piecewise-stationary time series. FUSION 2015: 808-813 - [c85]Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada:
Automated tracking of cells from phase contrast images by multiple hypothesis Kalman filters. ICASSP 2015: 942-946 - [c84]Hang Yu, Justin Dauwels:
Variational Bayes learning of multiscale graphical models. ICASSP 2015: 1891-1895 - [c83]Yasir Tahir, Debsubhra Chakraborty, Tomasz Maszczyk, Shoko Dauwels, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann:
Real-time sociometrics from audio-visual features for two-person dialogs. DSP 2015: 823-827 - [c82]Junhua Li, Indu P. Prasad, Justin Dauwels, Nitish V. Thakor, Hasan Al-Nashash:
Vigilance Differentiation from EEG Complexity Attributes. ICONIP (4) 2015: 199-206 - [c81]Aditya Narayanan, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Travel Time Estimation Using Speed Predictions. ITSC 2015: 2256-2261 - [c80]Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada:
Automatic detection of endothelial cells in 3D angiogenic sprouts from experimental phase contrast images. Image Processing 2015: 94132I - [c79]Hang Yu, Justin Dauwels:
Variational Bayes learning of graphical models with hidden variables. MLSP 2015: 1-6 - 2014
- [j15]Lee-Ling S. Ong, Justin Dauwels, Marcelo H. Ang Jr., H. Harry Asada:
A Bayesian filtering approach to incorporate 2D/3D time-lapse confocal images for tracking angiogenic sprouting cells interacting with the gel matrix. Medical Image Anal. 18(1): 211-227 (2014) - [j14]Lalit Garg, Justin Dauwels, Arul Earnest, Khai Pang Leong:
Tensor-Based Methods for Handling Missing Data in Quality-of-Life Questionnaires. IEEE J. Biomed. Health Informatics 18(5): 1571-1580 (2014) - [j13]Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet:
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction. IEEE Trans. Intell. Transp. Syst. 15(2): 794-804 (2014) - [j12]Hang Yu, Justin Dauwels, Philip Jonathan:
Extreme-Value Graphical Models With Multiple Covariates. IEEE Trans. Signal Process. 62(21): 5734-5747 (2014) - [c78]Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
SpikeGUI: Software for rapid interictal discharge annotation via template matching and online machine learning. EMBC 2014: 4435-4438 - [c77]Jing Jin, Justin Dauwels, Sydney Cash:
Automated localization of the seizure focus using interictal intracranial EEG. EMBC 2014: 4439-4442 - [c76]Nishant Sinha, Justin Dauwels, Yujiang Wang, Sydney S. Cash, Peter Neal Taylor:
An in silico approach for pre-surgical evaluation of an epileptic cortex. EMBC 2014: 4884-4887 - [c75]Wei Zhao, Justin Dauwels, Jianshu Cao:
The effects of cell asynchrony on time-series data: An analysis on gene expression level of Plasmodium falciparum. EMBC 2014: 5224-5227 - [c74]Parmod Kumar, Faisal Mahmood, Dhanya Menoth Mohan, Ken Wong, Abhishek Agrawal, Mohamed Elgendi, Rohit Shukla, Justin Dauwels, Alice H. D. Chan:
On the effect of subliminal priming on subjective perception of images: A machine learning approach. EMBC 2014: 5438-5441 - [c73]Lee-Ling S. Ong, Mengmeng Wang, Justin Dauwels, H. Harry Asada:
Segmentation of densely populated cell nuclei from confocal image stacks using 3D non-parametric shape priors. EMBC 2014: 5526-5529 - [c72]Yasir Tahir, Umer Rasheed, Shoko Dauwels, Justin Dauwels:
Perception of humanoid social mediator in two-person dialogs. HRI 2014: 300-301 - [c71]Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Extracting commuting patterns in railway networks through matrix decompositions. ICARCV 2014: 541-546 - [c70]Justin Dauwels, Aamer Aslam, Muhammad Tayyab Asif, Xinyue Zhao, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Predicting traffic speed in urban transportation subnetworks for multiple horizons. ICARCV 2014: 547-552 - [c69]Hang Yu, Wayne Isaac T. Uy, Justin Dauwels:
Modeling spatial extremes via ensemble-of-trees of pairwise copulas. ICASSP 2014: 2415-2419 - [c68]Hang Yu, Chenyang Li, Justin Dauwels:
Network inference and change point detection for piecewise-stationary time series. ICASSP 2014: 4498-4502 - [c67]Hang Yu, Jingjing Cheng, Justin Dauwels:
Extreme-value graphical models with multiple covariates. ICASSP 2014: 4553-4557 - [c66]Jing Jin, Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
Synchrony analysis of paroxysmal gamma waves in meditation EEG. ICASSP 2014: 4703-4707 - [c65]Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Compressed prediction of large-scale urban traffic. ICASSP 2014: 5984-5988 - [c64]Justin Dauwels, K. Srinivasan:
Improved compressed sensing radar by fusion with matched filtering. ICASSP 2014: 6795-6799 - [c63]Bingxuan Li, Hang Yu, Justin Dauwels, Kay Soon Low:
Sensor fault detection by sparsity optimization. ICASSP 2014: 7614-7618 - [c62]Jingshan Zhong, Rene A. Claus, Justin Dauwels, Lei Tian, Laura Waller:
Non-uniform sampling and Gaussian process regression in transport of intensity phase imaging. ICASSP 2014: 7784-7788 - [c61]Hang Yu, Liaofan Zhang, Justin Dauwels:
Spatio-temporal graphical models for extreme events. ISIT 2014: 2032-2036 - [c60]Menoth Mohan Dhanya, Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet:
Wavelets on graphs with application to transportation networks. ITSC 2014: 1707-1712 - [c59]Rauf Ansar, Paron Sarampakhul, Soham Ghosh, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Evaluation of smart-phone performance for real-time traffic prediction. ITSC 2014: 3010-3015 - [c58]Nishant Sinha, Peter Neal Taylor, Justin Dauwels, Justin Ruths:
Development of optimal stimuli in a heterogeneous model of epileptic spike-wave oscillations. SMC 2014: 3160-3165 - 2013
- [j11]K. Srinivasan, Justin Dauwels, M. Ramasubba Reddy:
Multichannel EEG Compression: Wavelet-Based Image and Volumetric Coding Approach. IEEE J. Biomed. Health Informatics 17(1): 113-120 (2013) - [j10]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions. IEEE J. Biomed. Health Informatics 17(3): 708-714 (2013) - [c57]Wei Zhao, Justin Dauwels, Jianshu Cao:
Computational synchronization improves the consistency of gene expression patterns over multiple experiments. BIBM 2013: 43-46 - [c56]Peter Neal Taylor, Gerold Baier, Sydney S. Cash, Justin Dauwels, Jean-Jacques E. Slotine, Yujiang Wang:
A model of stimulus induced epileptic spike-wave discharges. CCMB 2013: 53-59 - [c55]Nikhil Vij, Wu Zuobin, Malin Björnsdotter, Justin Dauwels, François-Benoît Vialatte:
A multimodal approach to analysis of steady state visually evoked potentials. CIBCB 2013: 183-188 - [c54]Muhammad Tayyab Asif, Kannan Srinivasan, Justin Dauwels, Patrick Jaillet:
Data compression techniques for urban traffic data. CIVTS 2013: 44-49 - [c53]Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada:
2D data-driven stalk cell prediction model based on tip-stalk cell interaction in angiogenesis. EMBC 2013: 4537-4540 - [c52]Umer Rasheed, Yasir Tahir, Shoko Dauwels, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann:
Real-Time Comprehensive Sociometrics for Two-Person Dialogs. HBU 2013: 196-208 - [c51]Manuel A. Vázquez, Jing Jin, Justin Dauwels, François B. Vialatte:
Automated detection of paroxysmal gamma waves in meditation EEG. ICASSP 2013: 1192-1196 - [c50]Muhammad Tayyab Asif, Nikola Mitrovic, Lalit Garg, Justin Dauwels, Patrick Jaillet:
Low-dimensional models for missing data imputation in road networks. ICASSP 2013: 3527-3531 - [c49]Justin Dauwels, Hang Yu, Shiyan Xu, Xueou Wang:
Copula Gaussian graphical model for discrete data. ICASSP 2013: 6283-6287 - [c48]Gaurav Gopi, Justin Dauwels, Muhammad Tayyab Asif, Sridhar Ashwin, Nikola Mitrovic, Umer Rasheed, Patrick Jaillet:
Bayesian Support Vector Regression for traffic speed prediction with error bars. ITSC 2013: 136-141 - [c47]Nikola Mitrovic, Muhammad Tayyab Asif, Umer Rasheed, Justin Dauwels, Patrick Jaillet:
CUR decomposition for compression and compressed sensing of large-scale traffic data. ITSC 2013: 1475-1480 - 2012
- [j9]Justin Dauwels, Theophane Weber, François B. Vialatte, Toshimitsu Musha, Andrzej Cichocki:
Quantifying Statistical Interdependence, Part III: N > 2 Point Processes. Neural Comput. 24(2): 408-454 (2012) - [c46]Dinup Sukumaran, Enyi Yao, Sun Shuo, Arindam Basu, Dongning Zhao, Justin Dauwels:
A low-power, reconfigurable smart sensor system for EEG acquisition and classification. APCCAS 2012: 9-12 - [c45]Esteve Gallego-Jutglà, Mohamed Elgendi, François B. Vialatte, Jordi Solé-Casals, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands. EMBC 2012: 4266-4270 - [c44]Malin Björnsdotter, Diego Sona, Sonny Rosenthal, Justin Dauwels:
Clustered subsampling for clinically informed diagnostic brain mapping. FUSION 2012: 593-599 - [c43]Hang Yu, Justin Dauwels, Xu Zhang, Shiyan Xu, Wayne Isaac T. Uy:
Copula Gaussian multiscale graphical models with application to geophysical modeling. FUSION 2012: 1741-1748 - [c42]Hang Yu, Zheng Choo, Wayne Isaac T. Uy, Justin Dauwels, Philip Jonathan:
Modeling extreme events in spatial domain by copula graphical models. FUSION 2012: 1761-1768 - [c41]Jingshan Zhang, Justin Dauwels, Manuel A. Vázquez, Laura Waller:
Efficient Gaussian inference algorithms for phase imaging. ICASSP 2012: 617-620 - [c40]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Multi-channel EEG compression based on 3D decompositions. ICASSP 2012: 637-640 - [c39]Justin Dauwels, Lalit Garg, Arul Earnest, Khai Pang Leong:
Tensor factorization for missing data imputation in medical questionnaires. ICASSP 2012: 2109-2112 - [c38]Hang Yu, Justin Dauwels, Xueou Wang:
Copula Gaussian graphical models with hidden variables. ICASSP 2012: 2177-2180 - [c37]Hang Yu, Zheng Choo, Justin Dauwels, Philip Jonathan, Qiao Zhou:
Modeling spatially-dependent extreme events with Markov random field priors. ISIT 2012: 1453-1457 - [c36]Chong Yang Goh, Justin Dauwels, Nikola Mitrovic, Muhammad Tayyab Asif, Ali Oran, Patrick Jaillet:
Online map-matching based on Hidden Markov model for real-time traffic sensing applications. ITSC 2012: 776-781 - [c35]Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet:
Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network. ITSC 2012: 983-988 - [c34]Sanat Sarda, Martin Constable, Justin Dauwels, Shoko Dauwels, Mohamed Elgendi, Mengyu Zhou, Umer Rasheed, Yasir Tahir, Daniel Thalmann, Nadia Magnenat-Thalmann:
Real-Time Feedback System for Monitoring and Facilitating Discussions. IWSDS 2012: 375-387 - 2011
- [j8]K. Srinivasan, Justin Dauwels, M. Ramasubba Reddy:
A two-dimensional approach for lossless EEG compression. Biomed. Signal Process. Control. 6(4): 387-394 (2011) - [c33]Justin Dauwels, Lalit Garg, Arul Earnest, Khai Pang Leong:
Handling missing data in medical questionnaires using tensor decompositions. ICICS 2011: 1-5 - [c32]Justin Dauwels, Deniz Erdogmus:
Session MA7b: Multivariate and multimodal analysis of brain signals. ACSCC 2011: 114-116 - [c31]Wei Zhao, Justin Dauwels, Jacquin Niles, Jianshu Cao:
Deconvolution of Microarray Data Predicts Transcriptionally Regulated Protein Kinases of Plasmodium falciparum. BIBM 2011: 286-289 - [c30]Mohamed Elgendi, François B. Vialatte, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. EMBC 2011: 6087-6091 - [c29]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Multi-channel EEG compression based on matrix and tensor decompositions. ICASSP 2011: 629-632 - [c28]Justin Dauwels, Emad N. Eskandar, Andy Cole, Daniel B. Hoch, Rodrigo Zepeda, Sydney S. Cash:
Graphical models for localization of the seizure focus from interictal intracranial EEG. ICASSP 2011: 745-748 - [c27]Mohamed Elgendi, François B. Vialatte, Martin Constable, Justin Dauwels:
Immersive Neurofeedback - A New Paradigm. IJCCI (NCTA) 2011: 465-469 - [c26]Justin Dauwels, Hang Yu, Xueou Wang, François B. Vialatte, Charles-François Vincent Latchoumane, Jaeseung Jeong, Andrzej Cichocki:
Inferring Brain Networks through Graphical Models with Hidden Variables. MLINI 2011: 194-201 - 2010
- [j7]Brian M. Kurkoski, Justin Dauwels:
Reduced-Memory Decoding of Low-Density Lattice Codes. IEEE Commun. Lett. 14(7): 659-661 (2010) - [j6]Justin Dauwels, François-Benoît Vialatte, Toshimitsu Musha, Andrzej Cichocki:
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG. NeuroImage 49(1): 668-693 (2010) - [c25]Satish G. Iyengar, Justin Dauwels, Pramod K. Varshney, Andrzej Cichocki:
Quantifying EEG synchrony using copulas. ICASSP 2010: 505-508
2000 – 2009
- 2009
- [j5]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes. Neural Comput. 21(8): 2152-2202 (2009) - [j4]Justin Dauwels, François B. Vialatte, Theophane Weber, Toshimitsu Musha, Andrzej Cichocki:
Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes. Neural Comput. 21(8): 2203-2268 (2009) - [c24]Justin Dauwels, Hans-Andrea Loeliger, Brian M. Kurkoski:
Power-constrained communications using LDLC lattices. ISIT 2009: 739-743 - [i5]Brian M. Kurkoski, Justin Dauwels:
Belief-Propagation Decoding of Lattices Using Gaussian Mixtures. CoRR abs/0904.4741 (2009) - [i4]Justin Dauwels, Andrew W. Eckford, Sascha Korl, Hans-Andrea Loeliger:
Expectation Maximization as Message Passing - Part I: Principles and Gaussian Messages. CoRR abs/0910.2832 (2009) - 2008
- [j3]Justin Dauwels, Hans-Andrea Loeliger:
Computation of Information Rates by Particle Methods. IEEE Trans. Inf. Theory 54(1): 406-409 (2008) - [c23]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
Analyzing brain signals by combinatorial optimization. Allerton 2008: 1381-1388 - [c22]Justin Dauwels, Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki:
On the synchrony of empirical mode decompositions with application to electroencephalography. ICASSP 2008: 473-476 - [c21]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
On Similarity Measures for Spike Trains. ICONIP (1) 2008: 177-185 - [c20]François B. Vialatte, Justin Dauwels, Jordi Solé i Casals, Monique Maurice, Andrzej Cichocki:
Improved Sparse Bump Modeling for Electrophysiological Data. ICONIP (1) 2008: 224-231 - [c19]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. ICONIP (1) 2008: 318-326 - [c18]François B. Vialatte, Monique Maurice, Justin Dauwels, Andrzej Cichocki:
Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). ICONIP (1) 2008: 400-407 - [c17]Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki:
On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. ICONIP (1) 2008: 469-477 - [c16]Brian M. Kurkoski, Justin Dauwels:
Message-passing decoding of lattices using Gaussian mixtures. ISIT 2008: 2489-2493 - [i3]Brian M. Kurkoski, Justin Dauwels:
Message-Passing Decoding of Lattices Using Gaussian Mixtures. CoRR abs/0802.0554 (2008) - 2007
- [j2]Hans-Andrea Loeliger, Justin Dauwels, Junli Hu, Sascha Korl, Li Ping, Frank R. Kschischang:
The Factor Graph Approach to Model-Based Signal Processing. Proc. IEEE 95(6): 1295-1322 (2007) - [c15]Justin Dauwels:
An Algorithm to Improve and Validate Cramer-Rao Bounds Through the Fibre Bundle Theory of Local Exponential Families. ICASSP (2) 2007: 525-528 - [c14]Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
A Novel Measure for Synchrony and its Application to Neural Signals. ICASSP (4) 2007: 1165-1168 - [c13]Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG. ICONIP (1) 2007: 112-125 - [c12]Justin Dauwels:
On Variational Message Passing on Factor Graphs. ISIT 2007: 2546-2550 - [c11]Justin Dauwels:
On Convergence Properties of Message-Passing Estimation Algorithms. ISIT 2007: 2561-2565 - [c10]Justin Dauwels, François B. Vialatte, Tomasz M. Rutkowski, Andrzej Cichocki:
Measuring Neural Synchrony by Message Passing. NIPS 2007: 361-368 - 2006
- [b1]Justin H. G. Dauwels:
On graphical models for communications and machine learning: algorithms, bounds, and analog implementation. ETH Zurich, 2006, ISBN 3-86628-080-7, pp. 1-489 - [j1]Benjamin Vigoda, Justin Dauwels, Matthias Frey, Neil Gershenfeld, Tobias Koch, Hans-Andrea Loeliger, Patrick R. Merkli:
Synchronization of Pseudorandom Signals by Forward-Only Message Passing With Application to Electronic Circuits. IEEE Trans. Inf. Theory 52(8): 3843-3852 (2006) - [c9]Justin Dauwels, Sascha Korl:
A Numerical Method to Compute Cramer-Rao-Type Bounds for Challenging Estimation Problems. ICASSP (5) 2006: 717-720 - [c8]Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger:
Particle Methods as Message Passing. ISIT 2006: 2052-2056 - [i2]Junli Hu, Hans-Andrea Loeliger, Justin Dauwels, Frank R. Kschischang:
A general computation rule for lossy summaries/messages with examples from equalization. CoRR abs/cs/0607027 (2006) - 2005
- [c7]Thomas Ott, Justin Dauwels, Ruedi Stoop:
Sequential clustering by loopy belief propagation. ECCTD 2005: 297-300 - [c6]Justin Dauwels:
Computing Bayesian Cramer-Rao bounds. ISIT 2005: 425-429 - [c5]Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger:
Expectation maximization as message passing. ISIT 2005: 583-586 - [c4]Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger:
Steepest descent as message passing. ITW 2005: 42-46 - [i1]Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger:
Expectation maximization as message passing. CoRR abs/cs/0508027 (2005) - 2004
- [c3]Justin Dauwels, Hans-Andrea Loeliger:
Phase estimation by message passing. ICC 2004: 523-527 - [c2]Justin Dauwels, Henk Wymeersch, Hans-Andrea Loeliger, Marc Moeneclaey:
Phase Estimation and Phase Ambiguity Resolution by Message Passing. ICT 2004: 150-155 - [c1]Justin Dauwels, Hans-Andrea Loeliger:
Computation of information rates by particle methods. ISIT 2004: 178
Coauthor Index
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