Phase estimation by message passing. - Justin Dauwels; Hans-Andrea Loeliger (ICC, 2004)

Phase Estimation and Phase Ambiguity Resolution by Message Passing. - Justin Dauwels; Henk Wymeersch; Hans-Andrea Loeliger; Marc Moeneclaey (ICT, 2004)

Sequential clustering by loopy belief propagation. - Thomas Ott; Justin Dauwels; Ruedi Stoop (ECCTD, 2005)

Computing Bayesian Cramer-Rao bounds. - Justin Dauwels (ISIT, 2005)

Expectation maximization as message passing. - Justin Dauwels; Sascha Korl; Hans-Andrea Loeliger (ISIT, 2005)

Steepest descent as message passing. - Justin Dauwels; Sascha Korl; Hans-Andrea Loeliger (ITW, 2005)

A Numerical Method to Compute Cramer-Rao-Type Bounds for Challenging Estimation Problems. - Justin Dauwels; Sascha Korl (ICASSP (5), 2006)

Particle Methods as Message Passing. - Justin Dauwels; Sascha Korl; Hans-Andrea Loeliger (ISIT, 2006)

A general computation rule for lossy summaries/messages with examples from equalization - Junli Hu; Hans-Andrea Loeliger; Justin Dauwels; Frank R. Kschischang (CoRR, 2006)

Synchronization of Pseudorandom Signals by Forward-Only Message Passing With Application to Electronic Circuits. - Benjamin Vigoda; Justin Dauwels; Matthias Frey; Neil Gershenfeld; Tobias Koch 001; Hans-Andrea Loeliger; Patrick R. Merkli (IEEE Trans. Inf. Theory, 2006)

On graphical models for communications and machine learning: algorithms, bounds, and analog implementation. - Justin H. G. Dauwels (2006)

An Algorithm to Improve and Validate Cramer-Rao Bounds Through the Fibre Bundle Theory of Local Exponential Families. - Justin Dauwels (ICASSP (2), 2007)

A Novel Measure for Synchrony and its Application to Neural Signals. - Justin Dauwels; François B. Vialatte; Andrzej Cichocki (ICASSP (4), 2007)

A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG. - Justin Dauwels; François B. Vialatte; Andrzej Cichocki (ICONIP (1), 2007)

On Variational Message Passing on Factor Graphs. - Justin Dauwels (ISIT, 2007)

On Convergence Properties of Message-Passing Estimation Algorithms. - Justin Dauwels (ISIT, 2007)

Measuring Neural Synchrony by Message Passing. - Justin Dauwels; François B. Vialatte; Tomasz M. Rutkowski; Andrzej Cichocki (NIPS, 2007)

The Factor Graph Approach to Model-Based Signal Processing. - Hans-Andrea Loeliger; Justin Dauwels; Junli Hu; Sascha Korl; Li Ping 001; Frank R. Kschischang (Proc. IEEE, 2007)

Analyzing brain signals by combinatorial optimization. - Justin Dauwels; François B. Vialatte; Theophane Weber; Andrzej Cichocki (Allerton, 2008)

On the synchrony of empirical mode decompositions with application to electroencephalography. - Justin Dauwels; Tomasz M. Rutkowski; François B. Vialatte; Andrzej Cichocki (ICASSP, 2008)

On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. - Justin Dauwels; Yuki Tsukada; Yuichi Sakumura; Shin Ishii; Kazuhiro Aoki; Takeshi Nakamura; Michiyuki Matsuda; François B. Vialatte; Andrzej Cichocki (ICONIP (1), 2008)

On Similarity Measures for Spike Trains. - Justin Dauwels; François B. Vialatte; Theophane Weber; Andrzej Cichocki (ICONIP (1), 2008)

An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. - Justin Dauwels; François B. Vialatte; Theophane Weber; Andrzej Cichocki (ICONIP (1), 2008)

Improved Sparse Bump Modeling for Electrophysiological Data. - François B. Vialatte; Justin Dauwels; Jordi Solé i Casals; Monique Maurice; Andrzej Cichocki (ICONIP (1), 2008)

Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). - François B. Vialatte; Monique Maurice; Justin Dauwels; Andrzej Cichocki (ICONIP (1), 2008)

Message-passing decoding of lattices using Gaussian mixtures. - Brian M. Kurkoski; Justin Dauwels (ISIT, 2008)

Computation of Information Rates by Particle Methods. - Justin Dauwels; Hans-Andrea Loeliger (IEEE Trans. Inf. Theory, 2008)

Power-constrained communications using LDLC lattices. - Justin Dauwels; Hans-Andrea Loeliger; Brian M. Kurkoski (ISIT, 2009)

Belief-Propagation Decoding of Lattices Using Gaussian Mixtures - Brian M. Kurkoski; Justin Dauwels (CoRR, 2009)

Expectation Maximization as Message Passing - Part I: Principles and Gaussian Messages - Justin Dauwels; Andrew W. Eckford; Sascha Korl; Hans-Andrea Loeliger (CoRR, 2009)

Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes. - Justin Dauwels; François B. Vialatte; Theophane Weber; Andrzej Cichocki (Neural Comput., 2009)

Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes. - Justin Dauwels; François B. Vialatte; Theophane Weber; Toshimitsu Musha; Andrzej Cichocki (Neural Comput., 2009)

Quantifying EEG synchrony using copulas. - Satish G. Iyengar; Justin Dauwels; Pramod K. Varshney; Andrzej Cichocki (ICASSP, 2010)

Reduced-Memory Decoding of Low-Density Lattice Codes. - Brian M. Kurkoski; Justin Dauwels (IEEE Commun. Lett., 2010)

A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG. - Justin Dauwels; François-Benoît Vialatte; Toshimitsu Musha; Andrzej Cichocki (NeuroImage, 2010)

Handling missing data in medical questionnaires using tensor decompositions. - Justin Dauwels; Lalit Garg; Arul Earnest; Khai Pang Leong (ICICS, 2011)

Session MA7b: Multivariate and multimodal analysis of brain signals. - Justin Dauwels; Deniz Erdogmus (ACSCC, 2011)

Deconvolution of Microarray Data Predicts Transcriptionally Regulated Protein Kinases of Plasmodium falciparum. - Wei Zhao; Justin Dauwels; Jacquin Niles; Jianshu Cao (BIBM, 2011)

Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. - Mohamed Elgendi; François B. Vialatte; Andrzej Cichocki; Charles-François Vincent Latchoumane; Jaeseung Jeong 002; Justin Dauwels (EMBC, 2011)

Graphical models for localization of the seizure focus from interictal intracranial EEG. - Justin Dauwels; Emad N. Eskandar; Andy Cole; Daniel B. Hoch; Rodrigo Zepeda; Sydney S. Cash (ICASSP, 2011)

Multi-channel EEG compression based on matrix and tensor decompositions. - Justin Dauwels; K. Srinivasan 002; M. Ramasubba Reddy; Andrzej Cichocki (ICASSP, 2011)

Immersive Neurofeedback - A New Paradigm. - Mohamed Elgendi; François B. Vialatte; Martin Constable; Justin Dauwels (IJCCI (NCTA), 2011)

Inferring Brain Networks through Graphical Models with Hidden Variables. - Justin Dauwels; Hang Yu 002; Xueou Wang; François B. Vialatte; Charles-François Vincent Latchoumane; Jaeseung Jeong 002; Andrzej Cichocki (MLINI, 2011)

A two-dimensional approach for lossless EEG compression. - K. Srinivasan 002; Justin Dauwels; M. Ramasubba Reddy (Biomed. Signal Process. Control., 2011)

A low-power, reconfigurable smart sensor system for EEG acquisition and classification. - Dinup Sukumaran; Enyi Yao; Sun Shuo; Arindam Basu; Dongning Zhao; Justin Dauwels (APCCAS, 2012)

Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands. - Esteve Gallego-Jutglà; Mohamed Elgendi; François B. Vialatte; Jordi Solé-Casals; Andrzej Cichocki; Charles-François Vincent Latchoumane; Jaeseung Jeong 002; Justin Dauwels (EMBC, 2012)

Clustered subsampling for clinically informed diagnostic brain mapping. - Malin Björnsdotter; Diego Sona; Sonny Rosenthal; Justin Dauwels (FUSION, 2012)

Modeling extreme events in spatial domain by copula graphical models. - Hang Yu 002; Zheng Choo; Wayne Isaac T. Uy; Justin Dauwels; Philip Jonathan (FUSION, 2012)

Copula Gaussian multiscale graphical models with application to geophysical modeling. - Hang Yu 002; Justin Dauwels; Xu Zhang; Shiyan Xu; Wayne Isaac T. Uy (FUSION, 2012)

Tensor factorization for missing data imputation in medical questionnaires. - Justin Dauwels; Lalit Garg; Arul Earnest; Khai Pang Leong (ICASSP, 2012)

Multi-channel EEG compression based on 3D decompositions. - Justin Dauwels; K. Srinivasan 002; M. Ramasubba Reddy; Andrzej Cichocki (ICASSP, 2012)

Copula Gaussian graphical models with hidden variables. - Hang Yu 002; Justin Dauwels; Xueou Wang (ICASSP, 2012)

Efficient Gaussian inference algorithms for phase imaging. - Jingshan Zhang; Justin Dauwels; Manuel A. Vázquez; Laura Waller (ICASSP, 2012)

Modeling spatially-dependent extreme events with Markov random field priors. - Hang Yu 002; Zheng Choo; Justin Dauwels; Philip Jonathan; Qiao Zhou (ISIT, 2012)

Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network. - Muhammad Tayyab Asif; Justin Dauwels; Chong Yang Goh; Ali Oran; Esmail Fathi; Muye Xu; Menoth Mohan Dhanya; Nikola Mitrovic; Patrick Jaillet (ITSC, 2012)

Online map-matching based on Hidden Markov model for real-time traffic sensing applications. - Chong Yang Goh; Justin Dauwels; Nikola Mitrovic; Muhammad Tayyab Asif; Ali Oran; Patrick Jaillet (ITSC, 2012)

Real-Time Feedback System for Monitoring and Facilitating Discussions. - Sanat Sarda; Martin Constable; Justin Dauwels; Shoko Dauwels; Mohamed Elgendi; Mengyu Zhou; Umer Rasheed; Yasir Tahir; Daniel Thalmann; Nadia Magnenat-Thalmann (IWSDS, 2012)

Quantifying Statistical Interdependence, Part III: N > 2 Point Processes. - Justin Dauwels; Theophane Weber; François B. Vialatte; Toshimitsu Musha; Andrzej Cichocki (Neural Comput., 2012)

Computational synchronization improves the consistency of gene expression patterns over multiple experiments. - Wei Zhao; Justin Dauwels; Jianshu Cao (BIBM, 2013)

A model of stimulus induced epileptic spike-wave discharges. - Peter Neal Taylor; Gerold Baier; Sydney S. Cash; Justin Dauwels; Jean-Jacques E. Slotine; Yujiang Wang 002 (CCMB, 2013)

A multimodal approach to analysis of steady state visually evoked potentials. - Nikhil Vij; Wu Zuobin; Malin Björnsdotter; Justin Dauwels; François-Benoît Vialatte (CIBCB, 2013)

Data compression techniques for urban traffic data. - Muhammad Tayyab Asif; Kannan Srinivasan; Justin Dauwels; Patrick Jaillet (CIVTS, 2013)

2D data-driven stalk cell prediction model based on tip-stalk cell interaction in angiogenesis. - Mengmeng Wang; Lee-Ling Sharon Ong; Justin Dauwels; H. Harry Asada (EMBC, 2013)

Real-Time Comprehensive Sociometrics for Two-Person Dialogs. - Umer Rasheed; Yasir Tahir; Shoko Dauwels; Justin Dauwels; Daniel Thalmann; Nadia Magnenat-Thalmann (HBU, 2013)

Low-dimensional models for missing data imputation in road networks. - Muhammad Tayyab Asif; Nikola Mitrovic; Lalit Garg; Justin Dauwels; Patrick Jaillet (ICASSP, 2013)

Copula Gaussian graphical model for discrete data. - Justin Dauwels; Hang Yu 002; Shiyan Xu; Xueou Wang (ICASSP, 2013)

Automated detection of paroxysmal gamma waves in meditation EEG. - Manuel A. Vázquez; Jing Jin 004; Justin Dauwels; François B. Vialatte (ICASSP, 2013)

Bayesian Support Vector Regression for traffic speed prediction with error bars. - Gaurav Gopi; Justin Dauwels; Muhammad Tayyab Asif; Sridhar Ashwin; Nikola Mitrovic; Umer Rasheed; Patrick Jaillet (ITSC, 2013)

CUR decomposition for compression and compressed sensing of large-scale traffic data. - Nikola Mitrovic; Muhammad Tayyab Asif; Umer Rasheed; Justin Dauwels; Patrick Jaillet (ITSC, 2013)

Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions. - Justin Dauwels; K. Srinivasan 002; M. Ramasubba Reddy; Andrzej Cichocki (IEEE J. Biomed. Health Informatics, 2013)

Multichannel EEG Compression: Wavelet-Based Image and Volumetric Coding Approach. - K. Srinivasan 002; Justin Dauwels; M. Ramasubba Reddy (IEEE J. Biomed. Health Informatics, 2013)

Automated localization of the seizure focus using interictal intracranial EEG. - Jing Jin 004; Justin Dauwels; Sydney Cash (EMBC, 2014)

SpikeGUI: Software for rapid interictal discharge annotation via template matching and online machine learning. - Jing Jin 004; Justin Dauwels; Sydney Cash; M. Brandon Westover (EMBC, 2014)

On the effect of subliminal priming on subjective perception of images: A machine learning approach. - Parmod Kumar; Faisal Mahmood 001; Dhanya Menoth Mohan; Ken Wong; Abhishek Agrawal; Mohamed Elgendi; Rohit Shukla; Justin Dauwels; Alice H. D. Chan (EMBC, 2014)

Segmentation of densely populated cell nuclei from confocal image stacks using 3D non-parametric shape priors. - Lee-Ling S. Ong; Mengmeng Wang; Justin Dauwels; H. Harry Asada (EMBC, 2014)

An in silico approach for pre-surgical evaluation of an epileptic cortex. - Nishant Sinha 002; Justin Dauwels; Yujiang Wang 002; Sydney S. Cash; Peter Neal Taylor (EMBC, 2014)

The effects of cell asynchrony on time-series data: An analysis on gene expression level of Plasmodium falciparum. - Wei Zhao; Justin Dauwels; Jianshu Cao (EMBC, 2014)

Perception of humanoid social mediator in two-person dialogs. - Yasir Tahir; Umer Rasheed; Shoko Dauwels; Justin Dauwels (HRI, 2014)

Predicting traffic speed in urban transportation subnetworks for multiple horizons. - Justin Dauwels; Aamer Aslam; Muhammad Tayyab Asif; Xinyue Zhao; Nikola Mitrovic; Andrzej Cichocki; Patrick Jaillet (ICARCV, 2014)

Extracting commuting patterns in railway networks through matrix decompositions. - Shashank Jere; Justin Dauwels; Muhammad Tayyab Asif; Nikola Mitrovic; Andrzej Cichocki; Patrick Jaillet (ICARCV, 2014)

Improved compressed sensing radar by fusion with matched filtering. - Justin Dauwels; K. Srinivasan 002 (ICASSP, 2014)

Synchrony analysis of paroxysmal gamma waves in meditation EEG. - Jing Jin 004; Justin Dauwels; François B. Vialatte; Andrzej Cichocki (ICASSP, 2014)

Sensor fault detection by sparsity optimization. - Bingxuan Li; Hang Yu 002; Justin Dauwels; Kay Soon Low (ICASSP, 2014)

Compressed prediction of large-scale urban traffic. - Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (ICASSP, 2014)

Extreme-value graphical models with multiple covariates. - Hang Yu 002; Jingjing Cheng; Justin Dauwels (ICASSP, 2014)

Network inference and change point detection for piecewise-stationary time series. - Hang Yu 002; Chenyang Li; Justin Dauwels (ICASSP, 2014)

Non-uniform sampling and Gaussian process regression in transport of intensity phase imaging. - Jingshan Zhong; Rene A. Claus; Justin Dauwels; Lei Tian 005; Laura Waller (ICASSP, 2014)

Spatio-temporal graphical models for extreme events. - Hang Yu 002; Liaofan Zhang; Justin Dauwels (ISIT, 2014)

Evaluation of smart-phone performance for real-time traffic prediction. - Rauf Ansar; Paron Sarampakhul; Soham Ghosh; Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (ITSC, 2014)

Wavelets on graphs with application to transportation networks. - Menoth Mohan Dhanya; Muhammad Tayyab Asif; Nikola Mitrovic; Justin Dauwels; Patrick Jaillet (ITSC, 2014)

Development of optimal stimuli in a heterogeneous model of epileptic spike-wave oscillations. - Nishant Sinha 002; Peter Neal Taylor; Justin Dauwels; Justin Ruths (SMC, 2014)

A Bayesian filtering approach to incorporate 2D/3D time-lapse confocal images for tracking angiogenic sprouting cells interacting with the gel matrix. - Lee-Ling S. Ong; Justin Dauwels; Marcelo H. Ang Jr.; H. Harry Asada (Medical Image Anal., 2014)

Tensor-Based Methods for Handling Missing Data in Quality-of-Life Questionnaires. - Lalit Garg; Justin Dauwels; Arul Earnest; Khai Pang Leong (IEEE J. Biomed. Health Informatics, 2014)

Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction. - Muhammad Tayyab Asif; Justin Dauwels; Chong Yang Goh; Ali Oran; Esmail Fathi; Muye Xu; Menoth Mohan Dhanya; Nikola Mitrovic; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2014)

Extreme-Value Graphical Models With Multiple Covariates. - Hang Yu 002; Justin Dauwels; Philip Jonathan (IEEE Trans. Signal Process., 2014)

Variational inference for graphical models of multivariate piecewise-stationary time series. - Hang Yu 002; Justin Dauwels (FUSION, 2015)

Automated tracking of cells from phase contrast images by multiple hypothesis Kalman filters. - Mengmeng Wang; Lee-Ling Sharon Ong; Justin Dauwels; H. Harry Asada (ICASSP, 2015)

Variational Bayes learning of multiscale graphical models. - Hang Yu 002; Justin Dauwels (ICASSP, 2015)

Real-time sociometrics from audio-visual features for two-person dialogs. - Yasir Tahir; Debsubhra Chakraborty; Tomasz Maszczyk; Shoko Dauwels; Justin Dauwels; Nadia Magnenat-Thalmann; Daniel Thalmann (DSP, 2015)

Vigilance Differentiation from EEG Complexity Attributes. - Junhua Li; Indu P. Prasad; Justin Dauwels; Nitish V. Thakor; Hasan Al-Nashash (ICONIP (4), 2015)

Travel Time Estimation Using Speed Predictions. - Aditya Narayanan; Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (ITSC, 2015)

Automatic detection of endothelial cells in 3D angiogenic sprouts from experimental phase contrast images. - Mengmeng Wang; Lee-Ling Sharon Ong; Justin Dauwels; H. Harry Asada (Image Processing, 2015)

Variational Bayes learning of graphical models with hidden variables. - Hang Yu 002; Justin Dauwels (MLSP, 2015)

Alternative Techniques of Neural Signal Processing in Neuroengineering. - Jordi Solé-Casals; François-Benoît Vialatte; Justin Dauwels (Cogn. Comput., 2015)

3D Human motion tracking by exemplar-based conditional particle filter. - Jigang Liu; Dongquan Liu; Justin Dauwels; Hock Soon Seah (Signal Process., 2015)

The Effects of Cell Asynchrony on Gene Expression Levels: Analysis and Application to Plasmodium Falciparum. - Wei Zhao; Justin Dauwels; Jianshu Cao (IEEE J. Biomed. Health Informatics, 2015)

Near-Lossless Compression for Large Traffic Networks. - Muhammad Tayyab Asif; Kannan Srinivasan; Nikola Mitrovic; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2015)

Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data. - Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2015)

Detecting cell division of Pseudomonas aeruginosa bacteria from bright-field microscopy images with hidden conditional random fields. - Lee-Ling S. Ong; Xinghua Zhang; Binu Kundukad; Justin Dauwels; Patrick Doyle; H. Harry Asada (EMBC, 2016)

Image classification of unlabeled malaria parasites in red blood cells. - Zheng Zhang; Lee-Ling Sharon Ong; Kong Fang; Athul Matthew; Justin Dauwels; Ming Dao; H. Harry Asada (EMBC, 2016)

Outlier-insensitive Kalman smoothing and marginal message passing. - Federico Wadehn; Lukas Bruderer; Justin Dauwels; Vijay Sahdeva; Hang Yu 002; Hans-Andrea Loeliger (EUSIPCO, 2016)

Bayesian tracking of multiple objects with vision and radar. - Michael Hoy; Chaoqun Weng; Junsong Yuan 001; Justin Dauwels (ICARCV, 2016)

Fast and efficient rejection of background waveforms in interictal EEG. - Elham Bagheri; Jing Jin 004; Justin Dauwels; Sydney Cash; M. Brandon Westover (ICASSP, 2016)

Epileptiform spike detection via convolutional neural networks. - Alexander Rosenberg Johansen; Jing Jin 004; Tomasz Maszczyk; Justin Dauwels; Sydney S. Cash; M. Brandon Westover (ICASSP, 2016)

Non-verbal speech analysis of interviews with schizophrenic patients. - Yasir Tahir; Debsubhra Chakraborty; Justin Dauwels; Nadia Magnenat-Thalmann; Daniel Thalmann; Jimmy Lee (ICASSP, 2016)

Clustering of interictal spikes by dynamic time warping and affinity propagation. - John Thomas; Jing Jin 004; Justin Dauwels; Sydney S. Cash; M. Brandon Westover (ICASSP, 2016)

An Integrated Simulation Environment for Testing V2X Protocols and Applications. - Apratim Choudhury; Tomasz Maszczyk; Justin Dauwels; Chetan Belagal Math; Hong Li 012 (ICCS, 2016)

Pressure and flow variation in gas distribution pipeline for leak detection. - Sugunakar Sugunakar Reddy; Payal Gupta; Karkulali Pugalenthi; Himanshu Mishra; Abhisek Ukil; Justin Dauwels (ICIT, 2016)

Bayesian detection of leaks in gas distribution networks. - Payal Gupta; Ankit Goyal; Justin Dauwels; Abhisek Ukil (IECON, 2016)

FLoGPN: A reputation based scheme for fault localization in gas pipeline network. - Pushpendu Kar; R. Sugunakar Reddy; Payal Gupta; Justin Dauwels; Abhisek Ukil (IECON, 2016)

Leak detection in gas distribution pipelines using acoustic impact monitoring. - Karkulali Pugalenthi; Himanshu Mishra; Abhisek Ukil; Justin Dauwels (IECON, 2016)

Testbed for real-time monitoring of leak in low pressure gas pipeline. - Himanshu Mishra; Karkulali Pugalenthi; Abhisek Ukil; Justin Dauwels (IECON, 2016)

Variational Bayesian dynamic compressive sensing. - Hongwei Wang 005; Hang Yu 002; Michael Hoy; Justin Dauwels; Heping Wang (ISIT, 2016)

Latent tree ensemble of pairwise copulas for spatial extremes analysis. - Hang Yu 002; Junwei Huang; Justin Dauwels (ISIT, 2016)

An integrated V2X simulator with applications in vehicle platooning. - Apratim Choudhury; Tomasz Maszczyk; Muhammad Tayyab Asif; Nikola Mitrovic; Chetan Belagal Math; Hong Li 012; Justin Dauwels (ITSC, 2016)

Predicting the duration of non-recurring road incidents by cluster-specific models. - Banishree Ghosh; Muhammad Tayyab Asif; Justin Dauwels; Wentong Cai 001; Hongliang Guo; Ulrich Fastenrath (ITSC, 2016)

Variational bayes learning of time-varying graphical models. - Hang Yu 002; Justin Dauwels (MLSP, 2016)

EEG hyperscanning study of inter-brain synchrony during cooperative and competitive interaction. - Nishant Sinha 002; Tomasz Maszczyk; Zhang Wanxuan; Jonathan Tan; Justin Dauwels (SMC, 2016)

Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks. - Muhammad Tayyab Asif; Nikola Mitrovic; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2016)

On Centralized and Decentralized Architectures for Traffic Applications. - Nikola Mitrovic; Aditya Narayanan; Muhammad Tayyab Asif; Ansar Rauf; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2016)

Modeling Spatio-Temporal Extreme Events Using Graphical Models. - Hang Yu 002; Justin Dauwels (IEEE Trans. Signal Process., 2016)

Modelling Conversation. - Martin Constable; Justin Dauwels; Shoko Dauwels; Rasheed Umer; Mengyu Zhou; Yasir Tahir (Context Aware Human-Robot and Human-Agent Interaction, 2016)

Automated epileptiform spike detection via affinity propagation-based template matching. - John Thomas; Jing Jin 004; Justin Dauwels; Sydney S. Cash; M. Brandon Westover (EMBC, 2017)

Real-time hierarchical fusion system for semantic segmentation in offroad scenes. - Kang Dang; Michael Hoy; Justin Dauwels; Junsong Yuan 001 (FUSION, 2017)

Water ingress detection in low-pressure gas pipelines using vibration sensors. - Srivathsan Chakaravarthi Narasimman; Ravula Sugunakar Reddy; Libo Wang; Abhisek Ukil; Justin Dauwels (IECON, 2017)

Efficient ground object segmentation in 3D LIDAR based on cascaded mode seeking. - Michael Hoy; Justin Dauwels; Junsong Yuan 001 (ITSC, 2017)

Linear-complexity stochastic variational Bayes inference for SLAM. - Xiaoyue Jiang; Michael Hoy; Hang Yu 002; Justin Dauwels (ITSC, 2017)

Development of a simulation platform to implement vehicle routing algorithms for large scale fleet management systems. - Sarat Chandra Nagavarapu; Twinkle Tripathy; Justin Dauwels (ITSC, 2017)

Estimating travel time distributions using copula graphical lasso. - Anatolii Prokhorchuk; Vishnu Prasad Payyada; Justin Dauwels; Patrick Jaillet (ITSC, 2017)

Efficient tracking of closely spaced objects in depth data using sequential dirichlet process clustering. - Michael Hoy; Justin Dauwels; Junsong Yuan 001 (Intelligent Vehicles Symposium, 2017)

Assessment and prediction of negative symptoms of schizophrenia from RGB+D movement signals. - Debsubhra Chakraborty; Yasir Tahir; Zixu Yang; Tomasz Maszczyk; Justin Dauwels; Daniel Thalmann; Nadia Magnenat-Thalmann; Bhing-Leet Tan; Jimmy Lee (MMSP, 2017)

Deep learning-based classification for brain-computer interfaces. - John Thomas; Tomasz Maszczyk; Nishant Sinha 002; Tilmann Kluge; Justin Dauwels (SMC, 2017)

Merging and splitting maneuver of platoons by means of a novel PID controller. - Soumya Dasgupta; Varunkumar Raghuraman; Apratim Choudhury; T. Nagacharan Teja; Justin Dauwels (SSCI, 2017)

Analysis and prediction of the queue length for non-recurring road incidents. - Banishree Ghosh; Justin Dauwels; Ulrich Fastenrath (SSCI, 2017)

Estimation of travel time from taxi GPS data. - Kelvin Lee; Anatolii Prokhorchuk; Justin Dauwels; Patrick Jaillet (SSCI, 2017)

Context based pedestrian intention prediction using factored latent dynamic conditional random fields. - Satyajit Neogi; Michael Hoy; Chaoqun Weng; Justin Dauwels (SSCI, 2017)

Solving Dial-A-Ride Problems Using Multiple Ant Colony System with Fleet Size Minimisation. - Twinkle Tripathy; Sarat Chandra Nagavarapu; Kaveh Azizian; Ramesh Ramasamy Pandi; Justin Dauwels (UKCI, 2017)

Neurology-as-a-Service for the Developing World. - Tejas Dharamsi; Payel Das; Tejaswini Pedapati; Gregory Bramble; Vinod Muthusamy; Horst Samulowitz; Kush R. Varshney; Yuvaraj Rajamanickam; John Thomas; Justin Dauwels (CoRR, 2017)

Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas. - Hang Yu 002; Wayne Isaac T. Uy; Justin Dauwels (IEEE Trans. Signal Process., 2017)

A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. - Yuvaraj Rajamanickam; John Thomas; Tilmann Kluge; Justin Dauwels (ACSSC, 2018)

Towards a data-driven behavioral approach to prediction of insider-threat. - Subhasree Basu; Yi Han Victoria Chua; Mei Wah Lee; Wanyu Geraldine Lim; Tomasz Maszczyk; Zheng Guo; Justin Dauwels (IEEE BigData, 2018)

Actor-Action Semantic Segmentation with Region Masks. - Kang Dang; Chunluan Zhou; Zhigang Tu 001; Michael Hoy; Justin Dauwels; Junsong Yuan 001 (BMVC, 2018)

Prediction of Negative Symptoms of Schizophrenia from Objective Linguistic, Acoustic and Non-verbal Conversational Cues. - Debsubhra Chakraborty; Shihao Xu; Zixu Yang; Yi Han Victoria Chua; Yasir Tahir; Justin Dauwels; Nadia Magnenat-Thalmann; Bhing-Leet Tan; Jimmy Chee Keong Lee (CW, 2018)

Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. - Jin Jing; Emile drAngremont; Sahar Zafar; Eric S. Rosenthal; Mohammad Tabaeizadeh; Senan Ebrahim; Justin Dauwels; M. Brandon Westover (EMBC, 2018)

EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection. - John Thomas; Luca Comoretto; Jing Jin 004; Justin Dauwels; Sydney S. Cash; M. Brandon Westover (EMBC, 2018)

Constrained Model Predictive Control using Kinematic Model of Vehicle Platooning in VISSIM Simulator. - Rongkai Zhang 001; Anuj Abraham; Soumya Dasgupta; Justin Dauwels (ICARCV, 2018)

Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. - Elham Bagheri; Jing Jin 004; Justin Dauwels; Sydney Cash; M. Brandon Westover (ICASSP, 2018)

Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. - Debsubhra Chakraborty; Zixu Yang; Yasir Tahir; Tomasz Maszczyk; Justin Dauwels; Nadia Magnenat-Thalmann; Jianmin Zheng; Yogeswary Maniam; Nur Amirah; Bhing-Leet Tan; Jimmy Lee (ICASSP, 2018)

Automatic Verbal Analysis of Interviews with Schizophrenic Patients. - 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 (DSP, 2018)

Effectiveness of VMS Messages in Influencing the Motorists' Travel Behaviour. - Banishree Ghosh; Yuanzheng Zhu; Justin Dauwels (ITSC, 2018)

Solving Time-dependent Dial-a-ride Problem using Greedy Ant Colony Optimization. - Songguang Ho; Hong Wei Koh; Ramesh Ramasamy Pandi; Sarat Chandra Nagavarapu; Justin Dauwels (ITSC, 2018)

Learning to Predict Pedestrian Intention via Variational Tracking Networks. - Michael Hoy; Zhigang Tu 001; Kang Dang; Justin Dauwels (ITSC, 2018)

Towards Modeling of Perception Errors in Autonomous Vehicles. - Pallavi Mitra; Apratirn Choudhury; Vimal Rau Aparow; Giridharan Kulandaivelu; Justin Dauwels (ITSC, 2018)

GPU-Accelerated Tabu Search Algorithm for Dial-A-Ride Problem. - Ramesh Ramasamy Pandi; Songguang Ho; Sarat Chandra Nagavarapu; Twinkle Tripathy; Justin Dauwels (ITSC, 2018)

Automated Classification of Classroom Climate by Audio Analysis. - Anusha James; Yi Han Victoria Chua; Tomasz Maszczyk; Ana Moreno Núñez; Rebecca Bull; Kerry Lee 002; Justin Dauwels (IWSDS, 2018)

Automated Lexical Analysis of Interviews with Individuals with Schizophrenia. - 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 (IWSDS, 2018)

Implementation of a Cost Effective Gas Pipeline Monitoring System for Water Ingress Detection. - Ishaan Gupta; Srivathsan Chakaravarthi Narasimman; Ravula Sugunakar Reddy; Justin Dauwels; Abhisek Ukil (Sarnoff Symposium, 2018)

Multi-atomic Annealing Heuristic for the Dial-a-ride Problem. - Songguang Ho; Ramesh Ramasamy Pandi; Sarat Chandra Nagavarapu; Justin Dauwels (SOLI, 2018)

Deterministic Annealing for Depot optimization: Applications to the Dial-A-Ride Problem. - Ramesh Ramasamy Pandi; Songguang Ho; Sarat Chandra Nagavarapu; Justin Dauwels (SSCI, 2018)

Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication. - Nagacharan Teja Tangirala; Anuj Abraham; Apratim Choudhury; Pranjal Vyas; Rongkai Zhang 001; Justin Dauwels (SSCI, 2018)

Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach. - Anusha James; Mohan Kashyap; Yi Han Victoria Chua; Tomasz Maszczyk; Ana Moreno Núñez; Rebecca Bull; Justin Dauwels (TALE, 2018)

Improved Tabu Search Heuristics for Static Dial-A-Ride Problem: Faster and Better Convergence. - Songguang Ho; Sarat Chandra Nagavarapu; Ramesh Ramasamy Pandi; Justin Dauwels (CoRR, 2018)

Multi-atomic Annealing Heuristic for Static Dial-a-ride Problem. - Songguang Ho; Ramesh Ramasamy Pandi; Sarat Chandra Nagavarapu; Justin Dauwels (CoRR, 2018)

Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier. - Periyamolapalayam Allimuthu Karthick; Kai Rui Wan; R. Yuvaraj 001; Angela An Qi See; Nicolas Kon Kam King; Justin Dauwels (EMBC, 2019)

Automated Verbal and Non-verbal Speech Analysis of Interviews of Individuals with Schizophrenia and Depression. - Shihao Xu; Zixu Yang; Debsubhra Chakraborty; Yi Han Victoria Chua; Justin Dauwels; Daniel Thalmann; Nadia Magnenat-Thalmann; Bhing-Leet Tan; Jimmy Chee Keong Lee (EMBC, 2019)

Adaptive Algorithm for Dial-A-Ride Problem with Vehicle Breakdown. - Ramesh Ramasamy Pandi; Songguang Ho; Sarat Chandra Nagavarapu; Justin Dauwels (ECC, 2019)

Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection. - Songwei Wu; Hang Yu 002; Justin Dauwels (ICASSP, 2019)

Pedestrians' Acceptance of Personal Mobility Devices on the Shared Path: A Structural Equation Modelling Approach. - Jo-Yu Kuo; Abrar Sayeed; Nagacharan Teja Tangirala; Yi Han Victoria Chua; Justin Dauwels; Marcel Philipp Mayer (ITSC, 2019)

Data-driven Models for Short-term Travel Time Predictio. - Aakash Kumar Narayanan; Chaitra Pranesh; Sarat Chandra Nagavarapu; B. Anil Kumar; Justin Dauwels (ITSC, 2019)

Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. - Inon Peled; Kelvin Lee; Yu Jiang 002; Justin Dauwels; Francisco C. Pereira (ITSC, 2019)

Machine learning method to ensure robust decision-making of AVs. - Ramdane Tami; Boussaad Soualmi; Abdelkrim Doufene; Javier Ibáñez; Justin Dauwels (ITSC, 2019)

Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? - Yi Han Victoria Chua; Justin Dauwels; Seng Chee Tan (LAK, 2019)

EduBrowser: A Multimodal Automated Monitoring System for Co-located Collaborative Learning. - Yi Han Victoria Chua; Preman Rajalingam; Seng Chee Tan; Justin Dauwels (LTEC, 2019)

Humanoid co-workers: How is it like to work with a robot? - Ajay Vishwanath; Aalind Singh; Yi Han Victoria Chua; Justin Dauwels; Nadia Magnenat-Thalmann (RO-MAN, 2019)

Variational Bayesian Point Set Registration. - Xiaoyue Jiang; Hang Yu 002; Michael Hoy; Justin Dauwels (VTC Fall, 2019)

Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference. - Xiaoyue Jiang; Hang Yu 002; Michael Hoy; Justin Dauwels (VTC Fall, 2019)

Experimental Analysis of Pedestrians' Discomfort Zone for Personal Mobility Devices on the Footpath. - Jo-Yu Kuo; Nagacharan Teja Tangirala; Jeyakaran Murugesan; Abrar Sayeed; Yi Han Victoria Chua; Justin Dauwels; Marcel Philipp Mayer (VTC Fall, 2019)

Online Framework for Demand-Responsive Stochastic Route Optimization. - Inon Peled; Kelvin Lee; Yu Jiang 002; Justin Dauwels; Francisco C. Pereira (CoRR, 2019)

Affine Disentangled GAN for Interpretable and Robust AV Perception. - Letao Liu; Martin Saerbeck; Justin Dauwels (CoRR, 2019)

Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition. - Zhigang Tu 001; Wei Xie 008; Justin Dauwels; Baoxin Li; Junsong Yuan 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition. - Zhigang Tu 001; Hongyan Li 003; Dejun Zhang; Justin Dauwels; Baoxin Li; Junsong Yuan 001 (IEEE Trans. Image Process., 2019)

Dynamic Prediction of the Incident Duration Using Adaptive Feature Set. - Banishree Ghosh; Muhammad Tayyab Asif; Justin Dauwels; Ulrich Fastenrath; Hongliang Guo (IEEE Trans. Intell. Transp. Syst., 2019)

Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models. - Hang Yu 002; Luyin Xin; Justin Dauwels (IEEE Trans. Signal Process., 2019)

Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. - Thangavel Prasanth; John Thomas; R. Yuvaraj 001; Jing Jing; Sydney S. Cash; Rima Chaudhari; Yee-Leng Tan; Rahul Rathakrishnan; Rohit Srivastava; Vinay Saini; M. Brandon Westover; Justin Dauwels (EMBC, 2020)

Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. - Songwei Wu; Hang Yu 002; Justin Dauwels (ICASSP, 2020)

Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. - Andrea Piazzoni; Jim Cherian; Martin Slavík; Justin Dauwels (IJCAI, 2020)

Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. - Rongkai Zhang 001; Anatolii Prokhorchuk; Justin Dauwels (IJCNN, 2020)

Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles. - Andrea Piazzoni; Jim Cherian; Martin Slavík; Justin Dauwels (CoRR, 2020)

Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. - Inon Peled; Kelvin Lee; Yu Jiang 002; Justin Dauwels; Francisco C. Pereira (CoRR, 2020)

Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models. - Hang Yu 002; Justin Dauwels (CoRR, 2020)

Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. - John Thomas; Jing Jin 004; Thangavel Prasanth; Elham Bagheri; Yuvaraj Rajamanickam; Justin Dauwels; Rahul Rathakrishnan; Jonathan J. Halford; Sydney S. Cash; M. Brandon Westover (Int. J. Neural Syst., 2020)

A User Study of a Humanoid Robot as a Social Mediator for Two-Person Conversations. - Yasir Tahir; Justin Dauwels; Daniel Thalmann; Nadia Magnenat-Thalmann (Int. J. Soc. Robotics, 2020)

Disruption Management for Dial-A-Ride Systems. - Ramesh Ramasamy Pandi; Songguang Ho; Sarat Chandra Nagavarapu; Twinkle Tripathy; Justin Dauwels (IEEE Intell. Transp. Syst. Mag., 2020)

Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination. - Hang Yu 002; Songwei Wu; Luyin Xin; Justin Dauwels (J. Mach. Learn. Res., 2020)

Estimating Travel Time Distributions by Bayesian Network Inference. - Anatolii Prokhorchuk; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2020)

R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. - Rongkai Zhang 001; Jiang Zhu; Zhiyuan Zha; Justin Dauwels; Bihan Wen (ICIP, 2021)

End-to-End Language Diarization for Bilingual Code-Switching Speech. - Hexin Liu; Leibny Paola García-Perera; Xinyi Zhang; Justin Dauwels; Andy W. H. Khong; Sanjeev Khudanpur; Suzy J. Styles (Interspeech, 2021)

Editorial: Celebration of the 30th Anniversary of IJNS. - Justin Dauwels (Int. J. Neural Syst., 2021)

Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. - Wei Yan Peh; John Thomas; Elham Bagheri; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Justin Dauwels (Int. J. Neural Syst., 2021)

Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. - 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; et al. (Int. J. Neural Syst., 2021)

Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. - 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; et al. (Int. J. Neural Syst., 2021)

Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields. - Satyajit Neogi; Michael Hoy; Kang Dang; Hang Yu 002; Justin Dauwels (IEEE Trans. Intell. Transp. Syst., 2021)

A Generic GPU-Accelerated Framework for the Dial-A-Ride Problem. - Ramesh Ramasamy Pandi; Songguang Ho; Sarat Chandra Nagavarapu; Justin Dauwels (IEEE Trans. Intell. Transp. Syst., 2021)

Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG. - Wei Yan Peh; Yuanyuan Yao 007; Justin Dauwels (EMBC, 2022)

Challenges in Virtual Testing of Autonomous Vehicles. - Andrea Piazzoni; Roshan Vijay; Jim Cherian; Lyu Chen; Justin Dauwels (ICARCV, 2022)

CoPEM: Cooperative Perception Error Models for Autonomous Driving. - Andrea Piazzoni; Jim Cherian; Roshan Vijay; Lap-Pui Chau; Justin Dauwels (ITSC, 2022)

Enhancing Language Identification Using Dual-Mode Model with Knowledge Distillation. - Hexin Liu; Leibny Paola García-Perera; Andy W. H. Khong; Justin Dauwels; Suzy J. Styles; Sanjeev Khudanpur (Odyssey, 2022)

Recurrent Affine Transform Encoder for Image Representation. - Letao Liu; Xudong Jiang 001; Martin Saerbeck; Justin Dauwels (IEEE Access, 2022)

Enhance Language Identification using Dual-mode Model with Knowledge Distillation. - Hexin Liu; Leibny Paola García-Perera; Andy W. H. Khong; Justin Dauwels; Suzy J. Styles; Sanjeev Khudanpur (CoRR, 2022)

Comparison of different Bayesian methods for estimating error bars with incident duration prediction. - Banishree Ghosh; Justin Dauwels (J. Intell. Transp. Syst., 2022)

Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment. - Bianca Burger; Karl-Heinz Nenning; Ernst Schwartz; Daniel S. Margulies; Alexandros Goulas; Hesheng Liu; Simon Neubauer; Justin Dauwels; Daniela Prayer; Georg Langs (NeuroImage, 2022)

Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling. - Satyajit Neogi; Justin Dauwels (Pattern Recognit., 2022)

Nowcasting of Extreme Precipitation Using Deep Generative Models. - Haoran Bi; Maksym Kyryliuk; Zhiyi Wang; Cristian Meo; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (ICASSP, 2023)

Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data. - Ruben Wijnands; Justin Dauwels; Ines Serra; Pieter Kruizinga; Aleksandra Badura; Borbála Hunyadi (ICASSP Workshops, 2023)

Automatic Camera Pose Estimation by Key-Point Matching of Reference Objects. - Jinchen Zeng; Rick Butler; John van den Dobbelsteen; Benno H. W. Hendriks; Maarten Van der Elst; Justin Dauwels (ICASSP, 2023)

Slot-VAE: Object-Centric Scene Generation with Slot Attention. - Yanbo Wang; Letao Liu; Justin Dauwels (ICML, 2023)

MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization. - 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 (INTERSPEECH, 2023)

Investigating model performance in language identification: beyond simple error statistics. - Suzy J. Styles; Yi Han Victoria Chua; Fei Ting Woon; Hexin Liu; Leibny Paola García; Sanjeev Khudanpur; Andy W. H. Khong; Justin Dauwels (INTERSPEECH, 2023)

A Data-Driven Approach to Estimate and Predict the Traffic Incidents' Queue Length. - Banishree Ghosh; Justin Dauwels (ITSC, 2023)

A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds. - Sarat Chandra Nagavarapu; Anuj Abraham; Nithish Muthuchamy Selvaraj; Justin Dauwels (SOLI, 2023)

On the Simulation of Perception Errors in Autonomous Vehicles. - Andrea Piazzoni; Jim Cherian; Justin Dauwels; Lap-Pui Chau (CoRR, 2023)

Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes. - Hang Yu 002; Songwei Wu; Justin Dauwels (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. - Rongkai Zhang 001; Cong Zhang; Zhiguang Cao; Wen Song; Puay Siew Tan; Jie Zhang 002; Bihan Wen; Justin Dauwels (IEEE Trans. Intell. Transp. Syst., 2023)

Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG. - Wei Yan Peh; Thangavel Prasanth; Yuanyuan Yao 007; John Thomas; Yee-Leng Tan; Justin Dauwels (Int. J. Neural Syst., 2023)

Data Science Education: The Signal Processing Perspective [SP Education]. - Sharon Gannot; Zheng-Hua Tan; Martin Haardt; Nancy F. Chen; Hoi-To Wai; Ivan Tashev; Walter Kellermann; Justin Dauwels (IEEE Signal Process. Mag., 2023)

Machine Learning Algorithm to Estimate Cardiac Output Based On Less-Invasive Arterial Blood Pressure Measurements. - Alan Hamo; Niki Ottenhof; Jan-Wiebe H. Korstanje; Justin Dauwels (EMBC, 2024)

Prediction of Postinduction Hypotension by Machine Learning. - Shuoyan Zhao; Alan Hamo; Niki Ottenhof; Jan-Wiebe H. Korstanje; Justin Dauwels (EMBC, 2024)

MoReSo: A DNN Framework Expediting Content-Based Video Image Retrieval (CBVIR). - Sinian Li; Doruk Barokas Profeta; Justin Dauwels (EUSIPCO, 2024)

Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. - Junzhe Yin; Cristian Meo; Ankush Roy; Zeineh Bou Cher; Mircea Lica; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (EUSIPCO, 2024)

αTC-VAE: On the relationship between Disentanglement and Diversity. - Cristian Meo; Louis Mahon; Anirudh Goyal; Justin Dauwels (ICLR, 2024)

Unveiling Hidden Anomalies: A Hybrid Approach for Surface Mounted Electronics. - Amir Ghorbani Ghezeljehmeidan; Willem Dirk van Driel; Justin Dauwels (INDIN, 2024)

Towards Robust Object Detection in Unseen Catheterization Laboratories. - Zipeng Wang; Rick Butler; John van den Dobbelsteen; Benno H. W. Hendriks; Maarten Van der Elst; Justin Dauwels (MeMeA, 2024)

Extreme Precipitation Nowcasting using Transformer-based Generative Models. - Cristian Meo; Ankush Roy; Mircea Lica; Junzhe Yin; Zeineb Bou Che; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (CoRR, 2024)

Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. - Junzhe Yin; Cristian Meo; Ankush Roy; Zeineh Bou Cher; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels (CoRR, 2024)

Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates. - Cristian Meo; Ksenia Sycheva; Anirudh Goyal; Justin Dauwels (CoRR, 2024)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities. - Cristian Meo; Mircea Lica; Zarif Ikram; Akihiro Nakano; Vedant Shah; Aniket Rajiv Didolkar; Dianbo Liu; Anirudh Goyal; Justin Dauwels (CoRR, 2024)

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. - Cristian Meo; Akihiro Nakano; Mircea Lica; Aniket Didolkar; Masahiro Suzuki 001; Anirudh Goyal; Mengmi Zhang; Justin Dauwels; Yutaka Matsuo; Yoshua Bengio (CoRR, 2024)

α-TCVAE: On the relationship between Disentanglement and Diversity. - Cristian Meo; Louis Mahon; Anirudh Goyal; Justin Dauwels (CoRR, 2024)

PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles. - Andrea Piazzoni; Jim Cherian; Justin Dauwels; Lap-Pui Chau (IEEE Trans. Intell. Transp. Syst., 2024)

EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images. - Letao Liu; Xudong Jiang 001; Martin Saerbeck; Justin Dauwels (IEEE Trans. Neural Networks Learn. Syst., 2024)

Compositional Scene Understanding through Inverse Generative Modeling. - Yanbo Wang; Justin Dauwels; Yilun Du (CoRR, 2025)