Justin Dauwels

270 papers A* 5A 5B 21C 20Misc 33Journal 85Unranked 100

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated Predictive Coding Networks via Direct Kolen-Pollack Feedback Alignment. CoRR Davide Casnici, Martin Lefebvre, Justin Dauwels, Charlotte Frenkel
2026	J	`jnl`	Assessing Situational and Spatial Awareness of VLMs with Synthetically Generated Video. CoRR Pascal Benschop, Justin Dauwels, Jan van Gemert
2025	J	`jnl`	Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling. CoRR Carlo Saccardi, Maximilian Pierzyna, Haitz Sáez de Ocáriz Borde, Simone Monaco, Cristian Meo, Pietro Liò, Rudolf Saathof, Geethu Joseph, Justin Dauwels
2025	J	`jnl`	Bio-Inspired Artificial Neural Networks based on Predictive Coding. CoRR Davide Casnici, Charlotte Frenkel, Justin Dauwels
2025	J	`jnl`	BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression. CoRR Cristian Meo, Varun Sarathchandran, Avijit Majhi, Shao Hung, Carlo Saccardi, Ruben Imhoff, Roberto Deidda, Remko Uijlenhoet, Justin Dauwels
2025	A*	`conf`	Compositional Scene Understanding through Inverse Generative Modeling. ICML Yanbo Wang, Justin Dauwels, Yilun Du
2025	J	`jnl`	Compositional Scene Understanding through Inverse Generative Modeling. CoRR Yanbo Wang, Justin Dauwels, Yilun Du
2025	J	`jnl`	Evaluation of Vision-LLMs in Surveillance Video. CoRR Pascal Benschop, Cristian Meo, Justin Dauwels, Jelte P. Mense
2025	—	`conf`	Physics-Informed Intelligent Motor Fault Detection. EUSIPCO Sinian Li, Raj Thilak Rajan, Edmund Marth, Patrick Zorn, Wolfgang Gruber, Justin Dauwels
2024	J	`jnl`	Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates. CoRR Cristian Meo, Ksenia Sycheva, Anirudh Goyal, Justin Dauwels
2024	J	`jnl`	EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images. IEEE Trans. Neural Networks Learn. Syst. Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels
2024	J	`jnl`	Extreme Precipitation Nowcasting using Transformer-based Generative Models. CoRR Cristian Meo, Ankush Roy, Mircea Lica, Junzhe Yin, Zeineb Bou Che, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2024	—	`conf`	Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements. EMBC Alan Hamo, Niki Ottenhof, Jan-Wiebe H. Korstanje, Justin Dauwels
2024	J	`jnl`	Masked Generative Priors Improve World Models Sequence Modelling Capabilities. CoRR Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels
2024	—	`conf`	MoReSo: A DNN Framework Expediting Content-Based Video Image Retrieval (CBVIR). EUSIPCO Sinian Li, Doruk Barokas Profeta, Justin Dauwels
2024	J	`jnl`	Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. CoRR Cristian Meo, Akihiro Nakano, Mircea Lica, Aniket Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio
2024	J	`jnl`	PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau
2024	—	`conf`	Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. EUSIPCO Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Mircea Lica, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2024	J	`jnl`	Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. CoRR Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2024	—	`conf`	Prediction of Postinduction Hypotension by Machine Learning. EMBC Shuoyan Zhao, Alan Hamo, Niki Ottenhof, Jan-Wiebe H. Korstanje, Justin Dauwels
2024	—	`conf`	Towards Robust Object Detection in Unseen Catheterization Laboratories. MeMeA Zipeng Wang, Rick M. Butler, John van den Dobbelsteen, Benno H. W. Hendriks, Maarten Van der Elst, Justin Dauwels
2024	C	`conf`	Unveiling Hidden Anomalies: A Hybrid Approach for Surface Mounted Electronics. INDIN Amir Ghorbani Ghezeljehmeidan, Willem Dirk van Driel, Justin Dauwels
2024	J	`jnl`	α-TCVAE: On the relationship between Disentanglement and Diversity. CoRR Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels
2024	A*	`conf`	αTC-VAE: On the relationship between Disentanglement and Diversity. ICLR Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels
2023	—	`conf`	A Data-Driven Approach to Estimate and Predict the Traffic Incidents' Queue Length. ITSC Banishree Ghosh, Justin Dauwels
2023	—	`conf`	A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds. SOLI Sarat Chandra Nagavarapu, Anuj Abraham, Nithish Muthuchamy Selvaraj, Justin Dauwels
2023	Misc	`conf`	Automatic Camera Pose Estimation by Key-Point Matching of Reference Objects. ICASSP Jinchen Zeng, Rick M. Butler, John van den Dobbelsteen, Benno H. W. Hendriks, Maarten Van der Elst, Justin Dauwels
2023	J	`jnl`	Data Science Education: The Signal Processing Perspective [SP Education]. IEEE Signal Process. Mag. Sharon Gannot, Zheng-Hua Tan, Martin Haardt, Nancy F. Chen, Hoi-To Wai, Ivan Tashev, Walter Kellermann, Justin Dauwels
2023	J	`jnl`	Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes. IEEE Trans. Pattern Anal. Mach. Intell. Hang Yu, Songwei Wu, Justin Dauwels
2023	A	`conf`	Investigating model performance in language identification: beyond simple error statistics. INTERSPEECH Suzy J. Styles, Yi Han Victoria Chua, Fei Ting Woon, Hexin Liu, Leibny Paola García, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels
2023	J	`jnl`	Investigating model performance in language identification: beyond simple error statistics. CoRR Suzy J. Styles, Yi Han Victoria Chua, Fei Ting Woon, Hexin Liu, Leibny Paola García-Perera, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels
2023	J	`jnl`	Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2023	A	`conf`	MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization. INTERSPEECH 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
2023	—	`conf`	Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data. ICASSP Workshops Ruben Wijnands, Justin Dauwels, Ines Serra, Pieter Kruizinga, Aleksandra Badura, Borbála Hunyadi
2023	Misc	`conf`	Nowcasting of Extreme Precipitation Using Deep Generative Models. ICASSP Haoran Bi, Maksym Kyryliuk, Zhiyi Wang, Cristian Meo, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
2023	J	`jnl`	On the Simulation of Perception Errors in Autonomous Vehicles. CoRR Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau
2023	J	`jnl`	Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG. Int. J. Neural Syst. Wei Yan Peh, Thangavel Prasanth, Yuanyuan Yao, John Thomas, Yee-Leng Tan, Justin Dauwels
2023	A*	`conf`	Slot-VAE: Object-Centric Scene Generation with Slot Attention. ICML Yanbo Wang, Letao Liu, Justin Dauwels
2023	J	`jnl`	Slot-VAE: Object-Centric Scene Generation with Slot Attention. CoRR Yanbo Wang, Letao Liu, Justin Dauwels
2022	C	`conf`	Challenges in Virtual Testing of Autonomous Vehicles. ICARCV Andrea Piazzoni, Roshan Vijay, Jim Cherian, Lyu Chen, Justin Dauwels
2022	—	`conf`	CoPEM: Cooperative Perception Error Models for Autonomous Driving. ITSC Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels
2022	J	`jnl`	CoPEM: Cooperative Perception Error Models for Autonomous Driving. CoRR Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels
2022	J	`jnl`	Comparison of different Bayesian methods for estimating error bars with incident duration prediction. J. Intell. Transp. Syst. Banishree Ghosh, Justin Dauwels
2022	J	`jnl`	Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment. NeuroImage Bianca Burger, Karl-Heinz Nenning, Ernst Schwartz, Daniel S. Margulies, Alexandros Goulas, Hesheng Liu, Simon Neubauer, Justin Dauwels, Daniela Prayer, Georg Langs
2022	J	`jnl`	Enhance Language Identification using Dual-mode Model with Knowledge Distillation. CoRR Hexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur
2022	—	`conf`	Enhancing Language Identification Using Dual-Mode Model with Knowledge Distillation. Odyssey Hexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur
2022	J	`jnl`	Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling. Pattern Recognit. Satyajit Neogi, Justin Dauwels
2022	J	`jnl`	Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2022	J	`jnl`	Recurrent Affine Transform Encoder for Image Representation. IEEE Access Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels
2022	—	`conf`	Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG. EMBC Wei Yan Peh, Yuanyuan Yao, Justin Dauwels
2021	J	`jnl`	A Generic GPU-Accelerated Framework for the Dial-A-Ride Problem. IEEE Trans. Intell. Transp. Syst. Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels
2021	J	`jnl`	Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. 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
2021	J	`jnl`	Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields. IEEE Trans. Intell. Transp. Syst. Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels
2021	J	`jnl`	Editorial: Celebration of the 30th Anniversary of IJNS. Int. J. Neural Syst. Justin Dauwels
2021	A	`conf`	End-to-End Language Diarization for Bilingual Code-Switching Speech. Interspeech Hexin Liu, Leibny Paola García-Perera, Xinyi Zhang, Justin Dauwels, Andy W. H. Khong, Sanjeev Khudanpur, Suzy J. Styles
2021	J	`jnl`	Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. Int. J. Neural Syst. Wei Yan Peh, John Thomas, Elham Bagheri, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, Justin Dauwels
2021	B	`conf`	R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. ICIP Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen
2021	J	`jnl`	R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery. CoRR Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen
2021	J	`jnl`	Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. 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
2020	J	`jnl`	A User Study of a Humanoid Robot as a Social Mediator for Two-Person Conversations. Int. J. Soc. Robotics Yasir Tahir, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann
2020	J	`jnl`	Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover
2020	J	`jnl`	Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. CoRR Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
2020	—	`conf`	Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. EMBC 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
2020	B	`conf`	Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. IJCNN Rongkai Zhang, Anatolii Prokhorchuk, Justin Dauwels
2020	J	`jnl`	Disruption Management for Dial-A-Ride Systems. IEEE Intell. Transp. Syst. Mag. Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels
2020	J	`jnl`	Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models. CoRR Hang Yu, Justin Dauwels
2020	J	`jnl`	Estimating Travel Time Distributions by Bayesian Network Inference. IEEE Trans. Intell. Transp. Syst. Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet
2020	J	`jnl`	Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination. J. Mach. Learn. Res. Hang Yu, Songwei Wu, Luyin Xin, Justin Dauwels
2020	A*	`conf`	Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. IJCAI Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels
2020	J	`jnl`	Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles. CoRR Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels
2020	Misc	`conf`	Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. ICASSP Songwei Wu, Hang Yu, Justin Dauwels
2019	J	`jnl`	Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition. IEEE Trans. Image Process. Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan
2019	—	`conf`	Adaptive Algorithm for Dial-A-Ride Problem with Vehicle Breakdown. ECC Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels
2019	J	`jnl`	Affine Disentangled GAN for Interpretable and Robust AV Perception. CoRR Letao Liu, Martin Saerbeck, Justin Dauwels
2019	—	`conf`	Automated Verbal and Non-verbal Speech Analysis of Interviews of Individuals with Schizophrenia and Depression. EMBC Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yi Han Victoria Chua, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee
2019	J	`jnl`	Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields. CoRR Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels
2019	—	`conf`	Data-driven Models for Short-term Travel Time Predictio. ITSC Aakash Kumar Narayanan, Chaitra Pranesh, Sarat Chandra Nagavarapu, B. Anil Kumar, Justin Dauwels
2019	—	`conf`	Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier. EMBC Periyamolapalayam Allimuthu Karthick, Kai Rui Wan, R. Yuvaraj, Angela An Qi See, Nicolas Kon Kam King, Justin Dauwels
2019	J	`jnl`	Dynamic Prediction of the Incident Duration Using Adaptive Feature Set. IEEE Trans. Intell. Transp. Syst. Banishree Ghosh, Muhammad Tayyab Asif, Justin Dauwels, Ulrich Fastenrath, Hongliang Guo
2019	—	`conf`	EduBrowser: A Multimodal Automated Monitoring System for Co-located Collaborative Learning. LTEC Yi Han Victoria Chua, Preman Rajalingam, Seng Chee Tan, Justin Dauwels
2019	Misc	`conf`	Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection. ICASSP Songwei Wu, Hang Yu, Justin Dauwels
2019	—	`conf`	Experimental Analysis of Pedestrians' Discomfort Zone for Personal Mobility Devices on the Footpath. VTC Fall Jo-Yu Kuo, Nagacharan Teja Tangirala, Jeyakaran Murugesan, Abrar Sayeed, Yi Han Victoria Chua, Justin Dauwels, Marcel Philipp Mayer
2019	J	`jnl`	Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling. CoRR Satyajit Neogi, Justin Dauwels
2019	B	`conf`	Humanoid co-workers: How is it like to work with a robot? RO-MAN Ajay Vishwanath, Aalind Singh, Yi Han Victoria Chua, Justin Dauwels, Nadia Magnenat-Thalmann
2019	—	`conf`	Machine learning method to ensure robust decision-making of AVs. ITSC Ramdane Tami, Boussaad Soualmi, Abdelkrim Doufene, Javier Ibáñez, Justin Dauwels
2019	J	`jnl`	Online Framework for Demand-Responsive Stochastic Route Optimization. CoRR Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
2019	—	`conf`	Pedestrians' Acceptance of Personal Mobility Devices on the Shared Path: A Structural Equation Modelling Approach. ITSC Jo-Yu Kuo, Abrar Sayeed, Nagacharan Teja Tangirala, Yi Han Victoria Chua, Justin Dauwels, Marcel Philipp Mayer
2019	—	`conf`	Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. ITSC Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
2019	—	`conf`	Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference. VTC Fall Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels
2019	J	`jnl`	Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Zhigang Tu, Wei Xie, Justin Dauwels, Baoxin Li, Junsong Yuan
2019	A	`conf`	Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? LAK Yi Han Victoria Chua, Justin Dauwels, Seng Chee Tan
2019	—	`conf`	Variational Bayesian Point Set Registration. VTC Fall Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels
2019	J	`jnl`	Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models. IEEE Trans. Signal Process. Hang Yu, Luyin Xin, Justin Dauwels
2018	Misc	`conf`	A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. ACSSC Yuvaraj Rajamanickam, John Thomas, Tilmann Kluge, Justin Dauwels
2018	A	`conf`	Actor-Action Semantic Segmentation with Region Masks. BMVC Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan
2018	J	`jnl`	Actor-Action Semantic Segmentation with Region Masks. CoRR Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan
2018	—	`conf`	Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication. SSCI Nagacharan Teja Tangirala, Anuj Abraham, Apratim Choudhury, Pranjal Vyas, Rongkai Zhang, Justin Dauwels
2018	—	`conf`	Automated Classification of Classroom Climate by Audio Analysis. IWSDS Anusha James, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Kerry Lee, Justin Dauwels
2018	—	`conf`	Automated Lexical Analysis of Interviews with Individuals with Schizophrenia. IWSDS 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
2018	—	`conf`	Automatic Verbal Analysis of Interviews with Schizophrenic Patients. DSP 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
2018	Misc	`conf`	Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. ICASSP Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover
2018	C	`conf`	Constrained Model Predictive Control using Kinematic Model of Vehicle Platooning in VISSIM Simulator. ICARCV Rongkai Zhang, Anuj Abraham, Soumya Dasgupta, Justin Dauwels
2018	—	`conf`	Deterministic Annealing for Depot optimization: Applications to the Dial-A-Ride Problem. SSCI Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels
2018	—	`conf`	EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection. EMBC John Thomas, Luca Comoretto, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2018	—	`conf`	Effectiveness of VMS Messages in Influencing the Motorists' Travel Behaviour. ITSC Banishree Ghosh, Yuanzheng Zhu, Justin Dauwels
2018	—	`conf`	GPU-Accelerated Tabu Search Algorithm for Dial-A-Ride Problem. ITSC Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels
2018	—	`conf`	Implementation of a Cost Effective Gas Pipeline Monitoring System for Water Ingress Detection. Sarnoff Symposium Ishaan Gupta, Srivathsan Chakaravarthi Narasimman, Ravula Sugunakar Reddy, Justin Dauwels, Abhisek Ukil
2018	J	`jnl`	Improved Tabu Search Heuristics for Static Dial-A-Ride Problem: Faster and Better Convergence. CoRR Songguang Ho, Sarat Chandra Nagavarapu, Ramesh Ramasamy Pandi, Justin Dauwels
2018	—	`conf`	Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach. TALE Anusha James, Mohan Kashyap, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Justin Dauwels
2018	—	`conf`	Learning to Predict Pedestrian Intention via Variational Tracking Networks. ITSC Michael Hoy, Zhigang Tu, Kang Dang, Justin Dauwels
2018	J	`jnl`	Multi-atomic Annealing Heuristic for Static Dial-a-ride Problem. CoRR Songguang Ho, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels
2018	—	`conf`	Multi-atomic Annealing Heuristic for the Dial-a-ride Problem. SOLI Songguang Ho, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels
2018	Misc	`conf`	Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. ICASSP Debsubhra Chakraborty, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Magnenat-Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing-Leet Tan, Jimmy Lee
2018	C	`conf`	Prediction of Negative Symptoms of Schizophrenia from Objective Linguistic, Acoustic and Non-verbal Conversational Cues. CW Debsubhra Chakraborty, Shihao Xu, Zixu Yang, Yi Han Victoria Chua, Yasir Tahir, Justin Dauwels, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee
2018	—	`conf`	Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. EMBC Jin Jing, Emile drAngremont, Sahar F. Zafar, Eric S. Rosenthal, Mohammad Tabaeizadeh, Senan Ebrahim, Justin Dauwels, M. Brandon Westover
2018	—	`conf`	Solving Time-dependent Dial-a-ride Problem using Greedy Ant Colony Optimization. ITSC Songguang Ho, Hong Wei Koh, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels
2018	—	`conf`	Towards Modeling of Perception Errors in Autonomous Vehicles. ITSC Pallavi Mitra, Apratirn Choudhury, Vimal Rau Aparow, Giridharan Kulandaivelu, Justin Dauwels
2018	—	`conf`	Towards a data-driven behavioral approach to prediction of insider-threat. IEEE BigData Subhasree Basu, Yi Han Victoria Chua, Mei Wah Lee, Wanyu Geraldine Lim, Tomasz Maszczyk, Zheng Guo, Justin Dauwels
2017	—	`conf`	Analysis and prediction of the queue length for non-recurring road incidents. SSCI Banishree Ghosh, Justin Dauwels, Ulrich Fastenrath
2017	C	`conf`	Assessment and prediction of negative symptoms of schizophrenia from RGB+D movement signals. MMSP Debsubhra Chakraborty, Yasir Tahir, Zixu Yang, Tomasz Maszczyk, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Lee
2017	—	`conf`	Automated epileptiform spike detection via affinity propagation-based template matching. EMBC John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2017	—	`conf`	Context based pedestrian intention prediction using factored latent dynamic conditional random fields. SSCI Satyajit Neogi, Michael Hoy, Chaoqun Weng, Justin Dauwels
2017	B	`conf`	Deep learning-based classification for brain-computer interfaces. SMC John Thomas, Tomasz Maszczyk, Nishant Sinha, Tilmann Kluge, Justin Dauwels
2017	—	`conf`	Development of a simulation platform to implement vehicle routing algorithms for large scale fleet management systems. ITSC Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels
2017	—	`conf`	Efficient ground object segmentation in 3D LIDAR based on cascaded mode seeking. ITSC Michael Hoy, Justin Dauwels, Junsong Yuan
2017	B	`conf`	Efficient tracking of closely spaced objects in depth data using sequential dirichlet process clustering. Intelligent Vehicles Symposium Michael Hoy, Justin Dauwels, Junsong Yuan
2017	—	`conf`	Estimating travel time distributions using copula graphical lasso. ITSC Anatolii Prokhorchuk, Vishnu Prasad Payyada, Justin Dauwels, Patrick Jaillet
2017	—	`conf`	Estimation of travel time from taxi GPS data. SSCI Kelvin Lee, Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet
2017	—	`conf`	Linear-complexity stochastic variational Bayes inference for SLAM. ITSC Xiaoyue Jiang, Michael Hoy, Hang Yu, Justin Dauwels
2017	—	`conf`	Merging and splitting maneuver of platoons by means of a novel PID controller. SSCI Soumya Dasgupta, Varunkumar Raghuraman, Apratim Choudhury, T. Nagacharan Teja, Justin Dauwels
2017	J	`jnl`	Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas. IEEE Trans. Signal Process. Hang Yu, Wayne Isaac T. Uy, Justin Dauwels
2017	J	`jnl`	Neurology-as-a-Service for the Developing World. CoRR Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels
2017	C	`conf`	Real-time hierarchical fusion system for semantic segmentation in offroad scenes. FUSION Kang Dang, Michael Hoy, Justin Dauwels, Junsong Yuan
2017	—	`conf`	Solving Dial-A-Ride Problems Using Multiple Ant Colony System with Fleet Size Minimisation. UKCI Twinkle Tripathy, Sarat Chandra Nagavarapu, Kaveh Azizian, Ramesh Ramasamy Pandi, Justin Dauwels
2017	C	`conf`	Water ingress detection in low-pressure gas pipelines using vibration sensors. IECON Srivathsan Chakaravarthi Narasimman, Ravula Sugunakar Reddy, Libo Wang, Abhisek Ukil, Justin Dauwels
2016	Misc	`conf`	An Integrated Simulation Environment for Testing V2X Protocols and Applications. ICCS Apratim Choudhury, Tomasz Maszczyk, Justin Dauwels, Chetan Belagal Math, Hong Li
2016	—	`conf`	An integrated V2X simulator with applications in vehicle platooning. ITSC Apratim Choudhury, Tomasz Maszczyk, Muhammad Tayyab Asif, Nikola Mitrovic, Chetan Belagal Math, Hong Li, Justin Dauwels
2016	C	`conf`	Bayesian detection of leaks in gas distribution networks. IECON Payal Gupta, Ankit Goyal, Justin Dauwels, Abhisek Ukil
2016	C	`conf`	Bayesian tracking of multiple objects with vision and radar. ICARCV Michael Hoy, Chaoqun Weng, Junsong Yuan, Justin Dauwels
2016	Misc	`conf`	Clustering of interictal spikes by dynamic time warping and affinity propagation. ICASSP John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2016	—	`conf`	Detecting cell division of Pseudomonas aeruginosa bacteria from bright-field microscopy images with hidden conditional random fields. EMBC Lee-Ling S. Ong, Xinghua Zhang, Binu Kundukad, Justin Dauwels, Patrick Doyle, H. Harry Asada
2016	B	`conf`	EEG hyperscanning study of inter-brain synchrony during cooperative and competitive interaction. SMC Nishant Sinha, Tomasz Maszczyk, Zhang Wanxuan, Jonathan Tan, Justin Dauwels
2016	Misc	`conf`	Epileptiform spike detection via convolutional neural networks. ICASSP Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2016	C	`conf`	FLoGPN: A reputation based scheme for fault localization in gas pipeline network. IECON Pushpendu Kar, R. Sugunakar Reddy, Payal Gupta, Justin Dauwels, Abhisek Ukil
2016	Misc	`conf`	Fast and efficient rejection of background waveforms in interictal EEG. ICASSP Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover
2016	—	`conf`	Image classification of unlabeled malaria parasites in red blood cells. EMBC Zheng Zhang, Lee-Ling Sharon Ong, Kong Fang, Athul Matthew, Justin Dauwels, Ming Dao, H. Harry Asada
2016	B	`conf`	Latent tree ensemble of pairwise copulas for spatial extremes analysis. ISIT Hang Yu, Junwei Huang, Justin Dauwels
2016	C	`conf`	Leak detection in gas distribution pipelines using acoustic impact monitoring. IECON Karkulali Pugalenthi, Himanshu Mishra, Abhisek Ukil, Justin Dauwels
2016	J	`jnl`	Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet
2016	J	`jnl`	Modeling Spatio-Temporal Extreme Events Using Graphical Models. IEEE Trans. Signal Process. Hang Yu, Justin Dauwels
2016	—	`ch.`	Modelling Conversation. Context Aware Human-Robot and Human-Agent Interaction Martin Constable, Justin Dauwels, Shoko Dauwels, Rasheed Umer, Mengyu Zhou, Yasir Tahir
2016	Misc	`conf`	Non-verbal speech analysis of interviews with schizophrenic patients. ICASSP Yasir Tahir, Debsubhra Chakraborty, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann, Jimmy Lee
2016	J	`jnl`	On Centralized and Decentralized Architectures for Traffic Applications. IEEE Trans. Intell. Transp. Syst. Nikola Mitrovic, Aditya Narayanan, Muhammad Tayyab Asif, Ansar Rauf, Justin Dauwels, Patrick Jaillet
2016	—	`conf`	Outlier-insensitive Kalman smoothing and marginal message passing. EUSIPCO Federico Wadehn, Lukas Bruderer, Justin Dauwels, Vijay Sahdeva, Hang Yu, Hans-Andrea Loeliger
2016	—	`conf`	Predicting the duration of non-recurring road incidents by cluster-specific models. ITSC Banishree Ghosh, Muhammad Tayyab Asif, Justin Dauwels, Wentong Cai, Hongliang Guo, Ulrich Fastenrath
2016	—	`conf`	Pressure and flow variation in gas distribution pipeline for leak detection. ICIT R. Sugunakar Reddy, Payal Gupta, Karkulali Pugalenthi, Himanshu Mishra, Abhisek Ukil, Justin Dauwels
2016	C	`conf`	Testbed for real-time monitoring of leak in low pressure gas pipeline. IECON Himanshu Mishra, Karkulali Pugalenthi, Abhisek Ukil, Justin Dauwels
2016	B	`conf`	Variational Bayesian dynamic compressive sensing. ISIT Hongwei Wang, Hang Yu, Michael Hoy, Justin Dauwels, Heping Wang
2016	—	`conf`	Variational bayes learning of time-varying graphical models. MLSP Hang Yu, Justin Dauwels
2015	J	`jnl`	3D Human motion tracking by exemplar-based conditional particle filter. Signal Process. Jigang Liu, Dongquan Liu, Justin Dauwels, Hock Soon Seah
2015	J	`jnl`	Alternative Techniques of Neural Signal Processing in Neuroengineering. Cogn. Comput. Jordi Solé-Casals, François-Benoît Vialatte, Justin Dauwels
2015	Misc	`conf`	Automated tracking of cells from phase contrast images by multiple hypothesis Kalman filters. ICASSP Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada
2015	B	`conf`	Automatic detection of endothelial cells in 3D angiogenic sprouts from experimental phase contrast images. Image Processing Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada
2015	J	`jnl`	Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data. IEEE Trans. Intell. Transp. Syst. Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2015	J	`jnl`	Near-Lossless Compression for Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. Muhammad Tayyab Asif, Kannan Srinivasan, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet
2015	—	`conf`	Real-time sociometrics from audio-visual features for two-person dialogs. DSP Yasir Tahir, Debsubhra Chakraborty, Tomasz Maszczyk, Shoko Dauwels, Justin Dauwels, Nadia Magnenat-Thalmann, Daniel Thalmann
2015	J	`jnl`	The Effects of Cell Asynchrony on Gene Expression Levels: Analysis and Application to Plasmodium Falciparum. IEEE J. Biomed. Health Informatics Wei Zhao, Justin Dauwels, Jianshu Cao
2015	—	`conf`	Travel Time Estimation Using Speed Predictions. ITSC Aditya Narayanan, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2015	—	`conf`	Variational Bayes learning of graphical models with hidden variables. MLSP Hang Yu, Justin Dauwels
2015	Misc	`conf`	Variational Bayes learning of multiscale graphical models. ICASSP Hang Yu, Justin Dauwels
2015	C	`conf`	Variational inference for graphical models of multivariate piecewise-stationary time series. FUSION Hang Yu, Justin Dauwels
2015	—	`conf`	Vigilance Differentiation from EEG Complexity Attributes. ICONIP (4) Junhua Li, Indu P. Prasad, Justin Dauwels, Nitish V. Thakor, Hasan Al-Nashash
2014	J	`jnl`	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. Lee-Ling S. Ong, Justin Dauwels, Marcelo H. Ang Jr., H. Harry Asada
2014	—	`conf`	An in silico approach for pre-surgical evaluation of an epileptic cortex. EMBC Nishant Sinha, Justin Dauwels, Yujiang Wang, Sydney S. Cash, Peter Neal Taylor
2014	—	`conf`	Automated localization of the seizure focus using interictal intracranial EEG. EMBC Jing Jin, Justin Dauwels, Sydney Cash
2014	Misc	`conf`	Compressed prediction of large-scale urban traffic. ICASSP Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2014	B	`conf`	Development of optimal stimuli in a heterogeneous model of epileptic spike-wave oscillations. SMC Nishant Sinha, Peter Neal Taylor, Justin Dauwels, Justin Ruths
2014	—	`conf`	Evaluation of smart-phone performance for real-time traffic prediction. ITSC Rauf Ansar, Paron Sarampakhul, Soham Ghosh, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2014	C	`conf`	Extracting commuting patterns in railway networks through matrix decompositions. ICARCV Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet
2014	J	`jnl`	Extreme-Value Graphical Models With Multiple Covariates. IEEE Trans. Signal Process. Hang Yu, Justin Dauwels, Philip Jonathan
2014	Misc	`conf`	Extreme-value graphical models with multiple covariates. ICASSP Hang Yu, Jingjing Cheng, Justin Dauwels
2014	Misc	`conf`	Improved compressed sensing radar by fusion with matched filtering. ICASSP Justin Dauwels, K. Srinivasan
2014	Misc	`conf`	Modeling spatial extremes via ensemble-of-trees of pairwise copulas. ICASSP Hang Yu, Wayne Isaac T. Uy, Justin Dauwels
2014	Misc	`conf`	Network inference and change point detection for piecewise-stationary time series. ICASSP Hang Yu, Chenyang Li, Justin Dauwels
2014	Misc	`conf`	Non-uniform sampling and Gaussian process regression in transport of intensity phase imaging. ICASSP Jingshan Zhong, Rene A. Claus, Justin Dauwels, Lei Tian, Laura Waller
2014	—	`conf`	On the effect of subliminal priming on subjective perception of images: A machine learning approach. EMBC Parmod Kumar, Faisal Mahmood, Dhanya Menoth Mohan, Ken Wong, Abhishek Agrawal, Mohamed Elgendi, Rohit Shukla, Justin Dauwels, Alice H. D. Chan
2014	A*	`conf`	Perception of humanoid social mediator in two-person dialogs. HRI Yasir Tahir, Umer Rasheed, Shoko Dauwels, Justin Dauwels
2014	C	`conf`	Predicting traffic speed in urban transportation subnetworks for multiple horizons. ICARCV Justin Dauwels, Aamer Aslam, Muhammad Tayyab Asif, Xinyue Zhao, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet
2014	—	`conf`	Segmentation of densely populated cell nuclei from confocal image stacks using 3D non-parametric shape priors. EMBC Lee-Ling S. Ong, Mengmeng Wang, Justin Dauwels, H. Harry Asada
2014	Misc	`conf`	Sensor fault detection by sparsity optimization. ICASSP Bingxuan Li, Hang Yu, Justin Dauwels, Kay Soon Low
2014	B	`conf`	Spatio-temporal graphical models for extreme events. ISIT Hang Yu, Liaofan Zhang, Justin Dauwels
2014	J	`jnl`	Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction. IEEE Trans. Intell. Transp. Syst. Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet
2014	—	`conf`	SpikeGUI: Software for rapid interictal discharge annotation via template matching and online machine learning. EMBC Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover
2014	Misc	`conf`	Synchrony analysis of paroxysmal gamma waves in meditation EEG. ICASSP Jing Jin, Justin Dauwels, François B. Vialatte, Andrzej Cichocki
2014	J	`jnl`	Tensor-Based Methods for Handling Missing Data in Quality-of-Life Questionnaires. IEEE J. Biomed. Health Informatics Lalit Garg, Justin Dauwels, Arul Earnest, Khai Pang Leong
2014	—	`conf`	The effects of cell asynchrony on time-series data: An analysis on gene expression level of Plasmodium falciparum. EMBC Wei Zhao, Justin Dauwels, Jianshu Cao
2014	—	`conf`	Wavelets on graphs with application to transportation networks. ITSC Menoth Mohan Dhanya, Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet
2013	—	`conf`	2D data-driven stalk cell prediction model based on tip-stalk cell interaction in angiogenesis. EMBC Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada
2013	—	`conf`	A model of stimulus induced epileptic spike-wave discharges. CCMB Peter Neal Taylor, Gerold Baier, Sydney S. Cash, Justin Dauwels, Jean-Jacques E. Slotine, Yujiang Wang
2013	C	`conf`	A multimodal approach to analysis of steady state visually evoked potentials. CIBCB Nikhil Vij, Wu Zuobin, Malin Björnsdotter, Justin Dauwels, François-Benoît Vialatte
2013	Misc	`conf`	Automated detection of paroxysmal gamma waves in meditation EEG. ICASSP Manuel A. Vázquez, Jing Jin, Justin Dauwels, François B. Vialatte
2013	—	`conf`	Bayesian Support Vector Regression for traffic speed prediction with error bars. ITSC Gaurav Gopi, Justin Dauwels, Muhammad Tayyab Asif, Sridhar Ashwin, Nikola Mitrovic, Umer Rasheed, Patrick Jaillet
2013	—	`conf`	CUR decomposition for compression and compressed sensing of large-scale traffic data. ITSC Nikola Mitrovic, Muhammad Tayyab Asif, Umer Rasheed, Justin Dauwels, Patrick Jaillet
2013	—	`conf`	Computational synchronization improves the consistency of gene expression patterns over multiple experiments. BIBM Wei Zhao, Justin Dauwels, Jianshu Cao
2013	Misc	`conf`	Copula Gaussian graphical model for discrete data. ICASSP Justin Dauwels, Hang Yu, Shiyan Xu, Xueou Wang
2013	—	`conf`	Data compression techniques for urban traffic data. CIVTS Muhammad Tayyab Asif, Kannan Srinivasan, Justin Dauwels, Patrick Jaillet
2013	Misc	`conf`	Low-dimensional models for missing data imputation in road networks. ICASSP Muhammad Tayyab Asif, Nikola Mitrovic, Lalit Garg, Justin Dauwels, Patrick Jaillet
2013	J	`jnl`	Multichannel EEG Compression: Wavelet-Based Image and Volumetric Coding Approach. IEEE J. Biomed. Health Informatics K. Srinivasan, Justin Dauwels, M. Ramasubba Reddy
2013	J	`jnl`	Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions. IEEE J. Biomed. Health Informatics Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki
2013	—	`conf`	Real-Time Comprehensive Sociometrics for Two-Person Dialogs. HBU Umer Rasheed, Yasir Tahir, Shoko Dauwels, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann
2012	—	`conf`	A low-power, reconfigurable smart sensor system for EEG acquisition and classification. APCCAS Dinup Sukumaran, Enyi Yao, Sun Shuo, Arindam Basu, Dongning Zhao, Justin Dauwels
2012	C	`conf`	Clustered subsampling for clinically informed diagnostic brain mapping. FUSION Malin Björnsdotter, Diego Sona, Sonny Rosenthal, Justin Dauwels
2012	Misc	`conf`	Copula Gaussian graphical models with hidden variables. ICASSP Hang Yu, Justin Dauwels, Xueou Wang
2012	C	`conf`	Copula Gaussian multiscale graphical models with application to geophysical modeling. FUSION Hang Yu, Justin Dauwels, Xu Zhang, Shiyan Xu, Wayne Isaac T. Uy
2012	—	`conf`	Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands. EMBC Esteve Gallego-Jutglà, Mohamed Elgendi, François B. Vialatte, Jordi Solé-Casals, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels
2012	Misc	`conf`	Efficient Gaussian inference algorithms for phase imaging. ICASSP Jingshan Zhang, Justin Dauwels, Manuel A. Vázquez, Laura Waller
2012	C	`conf`	Modeling extreme events in spatial domain by copula graphical models. FUSION Hang Yu, Zheng Choo, Wayne Isaac T. Uy, Justin Dauwels, Philip Jonathan
2012	B	`conf`	Modeling spatially-dependent extreme events with Markov random field priors. ISIT Hang Yu, Zheng Choo, Justin Dauwels, Philip Jonathan, Qiao Zhou
2012	Misc	`conf`	Multi-channel EEG compression based on 3D decompositions. ICASSP Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki
2012	—	`conf`	Online map-matching based on Hidden Markov model for real-time traffic sensing applications. ITSC Chong Yang Goh, Justin Dauwels, Nikola Mitrovic, Muhammad Tayyab Asif, Ali Oran, Patrick Jaillet
2012	J	`jnl`	Quantifying Statistical Interdependence, Part III: Neural Comput. Justin Dauwels, Theophane Weber, François B. Vialatte, Toshimitsu Musha, Andrzej Cichocki
2012	—	`conf`	Real-Time Feedback System for Monitoring and Facilitating Discussions. IWSDS Sanat Sarda, Martin Constable, Justin Dauwels, Shoko Dauwels, Mohamed Elgendi, Mengyu Zhou, Umer Rasheed, Yasir Tahir, Daniel Thalmann, Nadia Magnenat-Thalmann
2012	Misc	`conf`	Tensor factorization for missing data imputation in medical questionnaires. ICASSP Justin Dauwels, Lalit Garg, Arul Earnest, Khai Pang Leong
2012	—	`conf`	Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network. ITSC Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet
2011	J	`jnl`	A two-dimensional approach for lossless EEG compression. Biomed. Signal Process. Control. K. Srinivasan, Justin Dauwels, M. Ramasubba Reddy
2011	—	`conf`	Deconvolution of Microarray Data Predicts Transcriptionally Regulated Protein Kinases of Plasmodium falciparum. BIBM Wei Zhao, Justin Dauwels, Jacquin Niles, Jianshu Cao
2011	Misc	`conf`	Graphical models for localization of the seizure focus from interictal intracranial EEG. ICASSP Justin Dauwels, Emad N. Eskandar, Andy Cole, Daniel B. Hoch, Rodrigo Zepeda, Sydney S. Cash
2011	C	`conf`	Handling missing data in medical questionnaires using tensor decompositions. ICICS Justin Dauwels, Lalit Garg, Arul Earnest, Khai Pang Leong
2011	—	`conf`	Immersive Neurofeedback - A New Paradigm. IJCCI (NCTA) Mohamed Elgendi, François B. Vialatte, Martin Constable, Justin Dauwels
2011	—	`conf`	Inferring Brain Networks through Graphical Models with Hidden Variables. MLINI Justin Dauwels, Hang Yu, Xueou Wang, François B. Vialatte, Charles-François Vincent Latchoumane, Jaeseung Jeong, Andrzej Cichocki
2011	Misc	`conf`	Multi-channel EEG compression based on matrix and tensor decompositions. ICASSP Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki
2011	—	`conf`	Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. EMBC Mohamed Elgendi, François B. Vialatte, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels
2011	—	`conf`	Session MA7b: Multivariate and multimodal analysis of brain signals. ACSCC Justin Dauwels, Deniz Erdogmus
2010	J	`jnl`	A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG. NeuroImage Justin Dauwels, François-Benoît Vialatte, Toshimitsu Musha, Andrzej Cichocki
2010	Misc	`conf`	Quantifying EEG synchrony using copulas. ICASSP Satish G. Iyengar, Justin Dauwels, Pramod K. Varshney, Andrzej Cichocki
2010	J	`jnl`	Reduced-Memory Decoding of Low-Density Lattice Codes. IEEE Commun. Lett. Brian M. Kurkoski, Justin Dauwels
2009	J	`jnl`	Belief-Propagation Decoding of Lattices Using Gaussian Mixtures CoRR Brian M. Kurkoski, Justin Dauwels
2009	J	`jnl`	Expectation Maximization as Message Passing - Part I: Principles and Gaussian Messages CoRR Justin Dauwels, Andrew W. Eckford, Sascha Korl, Hans-Andrea Loeliger
2009	B	`conf`	Power-constrained communications using LDLC lattices. ISIT Justin Dauwels, Hans-Andrea Loeliger, Brian M. Kurkoski
2009	J	`jnl`	Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes. Neural Comput. Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki
2009	J	`jnl`	Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes. Neural Comput. Justin Dauwels, François B. Vialatte, Theophane Weber, Toshimitsu Musha, Andrzej Cichocki
2008	—	`conf`	An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. ICONIP (1) Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki
2008	—	`conf`	Analyzing brain signals by combinatorial optimization. Allerton Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki
2008	J	`jnl`	Computation of Information Rates by Particle Methods. IEEE Trans. Inf. Theory Justin Dauwels, Hans-Andrea Loeliger
2008	—	`conf`	Improved Sparse Bump Modeling for Electrophysiological Data. ICONIP (1) François B. Vialatte, Justin Dauwels, Jordi Solé i Casals, Monique Maurice, Andrzej Cichocki
2008	J	`jnl`	Message-Passing Decoding of Lattices Using Gaussian Mixtures CoRR Brian M. Kurkoski, Justin Dauwels
2008	B	`conf`	Message-passing decoding of lattices using Gaussian mixtures. ISIT Brian M. Kurkoski, Justin Dauwels
2008	—	`conf`	On Similarity Measures for Spike Trains. ICONIP (1) Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki
2008	—	`conf`	On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. ICONIP (1) Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki
2008	Misc	`conf`	On the synchrony of empirical mode decompositions with application to electroencephalography. ICASSP Justin Dauwels, Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki
2008	—	`conf`	Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). ICONIP (1) François B. Vialatte, Monique Maurice, Justin Dauwels, Andrzej Cichocki
2007	—	`conf`	A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG. ICONIP (1) Justin Dauwels, François B. Vialatte, Andrzej Cichocki
2007	—	`conf`	A Novel Measure for Synchrony and its Application to Neural Signals. ICASSP (4) Justin Dauwels, François B. Vialatte, Andrzej Cichocki
2007	—	`conf`	An Algorithm to Improve and Validate Cramer-Rao Bounds Through the Fibre Bundle Theory of Local Exponential Families. ICASSP (2) Justin Dauwels
2007	—	`conf`	Measuring Neural Synchrony by Message Passing. NIPS Justin Dauwels, François B. Vialatte, Tomasz M. Rutkowski, Andrzej Cichocki
2007	B	`conf`	On Convergence Properties of Message-Passing Estimation Algorithms. ISIT Justin Dauwels
2007	B	`conf`	On Variational Message Passing on Factor Graphs. ISIT Justin Dauwels
2007	J	`jnl`	The Factor Graph Approach to Model-Based Signal Processing. Proc. IEEE Hans-Andrea Loeliger, Justin Dauwels, Junli Hu, Sascha Korl, Li Ping, Frank R. Kschischang
2006	—	`conf`	A Numerical Method to Compute Cramer-Rao-Type Bounds for Challenging Estimation Problems. ICASSP (5) Justin Dauwels, Sascha Korl
2006	J	`jnl`	A general computation rule for lossy summaries/messages with examples from equalization CoRR Junli Hu, Hans-Andrea Loeliger, Justin Dauwels, Frank R. Kschischang
2006	B	`conf`	Particle Methods as Message Passing. ISIT Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger
2006	J	`jnl`	Synchronization of Pseudorandom Signals by Forward-Only Message Passing With Application to Electronic Circuits. IEEE Trans. Inf. Theory Benjamin Vigoda, Justin Dauwels, Matthias Frey, Neil Gershenfeld, Tobias Koch, Hans-Andrea Loeliger, Patrick R. Merkli
2005	B	`conf`	Computing Bayesian Cramer-Rao bounds. ISIT Justin Dauwels
2005	J	`jnl`	Expectation maximization as message passing CoRR Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger
2005	B	`conf`	Expectation maximization as message passing. ISIT Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger
2005	—	`conf`	Sequential clustering by loopy belief propagation. ECCTD Thomas Ott, Justin Dauwels, Ruedi Stoop
2005	B	`conf`	Steepest descent as message passing. ITW Justin Dauwels, Sascha Korl, Hans-Andrea Loeliger
2004	B	`conf`	Computation of information rates by particle methods. ISIT Justin Dauwels, Hans-Andrea Loeliger
2004	—	`conf`	Phase Estimation and Phase Ambiguity Resolution by Message Passing. ICT Justin Dauwels, Henk Wymeersch, Hans-Andrea Loeliger, Marc Moeneclaey
2004	—	`conf`	Phase estimation by message passing. ICC Justin Dauwels, Hans-Andrea Loeliger