Justin Dauwels

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 142

Top Venues

Publications

Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels
αTC-VAE: On the relationship between Disentanglement and Diversity. ICLR (2024)
Cristian Meo, Ankush Roy, Mircea Lica, Junzhe Yin, Zeineb Bou Che, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
Extreme Precipitation Nowcasting using Transformer-based Generative Models. CoRR (2024)
Cristian Meo, Ksenia Sycheva, Anirudh Goyal, Justin Dauwels
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates. CoRR (2024)
Zipeng Wang, Rick Butler, John van den Dobbelsteen, Benno H. W. Hendriks, Maarten Van der Elst, Justin Dauwels
Towards Robust Object Detection in Unseen Catheterization Laboratories. MeMeA (2024)
Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. CoRR (2024)
Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels
EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Yanbo Wang, Letao Liu, Justin Dauwels
Slot-VAE: Object-Centric Scene Generation with Slot Attention. ICML (2023)
Sarat Chandra Nagavarapu, Anuj Abraham, Nithish Muthuchamy Selvaraj, Justin Dauwels
A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds. SOLI (2023)
Sharon Gannot, Zheng-Hua Tan, Martin Haardt, Nancy F. Chen, Hoi-To Wai, Ivan Tashev, Walter Kellermann, Justin Dauwels
Data Science Education: The Signal Processing Perspective [SP Education]. IEEE Signal Process. Mag. 40 (7) (2023)
Ruben Wijnands, Justin Dauwels, Ines Serra, Pieter Kruizinga, Aleksandra Badura, Borbála Hunyadi
Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data. ICASSP Workshops (2023)
Yi Han Victoria Chua, Hexin Liu, Leibny Paola García, Fei Ting Woon, Jinyi Wong, Xiangyu Zhang, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles
MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization. INTERSPEECH (2023)
Suzy J. Styles, Yi Han Victoria Chua, Fei Ting Woon, Hexin Liu, Leibny Paola García, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels
Investigating model performance in language identification: beyond simple error statistics. INTERSPEECH (2023)
Cristian Meo, Anirudh Goyal, Justin Dauwels
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors. CoRR (2023)
Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau
On the Simulation of Perception Errors in Autonomous Vehicles. CoRR (2023)
Wei Yan Peh, Thangavel Prasanth, Yuanyuan Yao, John Thomas, Yee-Leng Tan, Justin Dauwels
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG. Int. J. Neural Syst. 33 (3) (2023)
Hang Yu, Songwei Wu, Justin Dauwels
Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Yanbo Wang, Letao Liu, Justin Dauwels
Slot-VAE: Object-Centric Scene Generation with Slot Attention. CoRR (2023)
Haoran Bi, Maksym Kyryliuk, Zhiyi Wang, Cristian Meo, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels
Nowcasting of Extreme Precipitation Using Deep Generative Models. ICASSP (2023)
Banishree Ghosh, Justin Dauwels
A Data-Driven Approach to Estimate and Predict the Traffic Incidents' Queue Length. ITSC (2023)
Suzy J. Styles, Yi Han Victoria Chua, Fei Ting Woon, Hexin Liu, Leibny Paola García-Perera, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels
Investigating model performance in language identification: beyond simple error statistics. CoRR (2023)
Jinchen Zeng, Rick Butler, John van den Dobbelsteen, Benno H. W. Hendriks, Maarten Van der Elst, Justin Dauwels
Automatic Camera Pose Estimation by Key-Point Matching of Reference Objects. ICASSP (2023)
Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels
CoPEM: Cooperative Perception Error Models for Autonomous Driving. ITSC (2022)
Wei Yan Peh, Yuanyuan Yao, Justin Dauwels
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG. EMBC (2022)
Andrea Piazzoni, Roshan Vijay, Jim Cherian, Lyu Chen, Justin Dauwels
Challenges in Virtual Testing of Autonomous Vehicles. ICARCV (2022)
Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels
CoPEM: Cooperative Perception Error Models for Autonomous Driving. CoRR (2022)
Bianca Burger, Karl-Heinz Nenning, Ernst Schwartz, Daniel S. Margulies, Alexandros Goulas, Hesheng Liu, Simon Neubauer, Justin Dauwels, Daniela Prayer, Georg Langs
Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment. NeuroImage 247 (2022)
Satyajit Neogi, Justin Dauwels
Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling. Pattern Recognit. 122 (2022)
Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels
Recurrent Affine Transform Encoder for Image Representation. IEEE Access 10 (2022)
Banishree Ghosh, Justin Dauwels
Comparison of different Bayesian methods for estimating error bars with incident duration prediction. J. Intell. Transp. Syst. 26 (4) (2022)
Hexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur
Enhancing Language Identification Using Dual-Mode Model with Knowledge Distillation. Odyssey (2022)
Hexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur
Enhance Language Identification using Dual-mode Model with Knowledge Distillation. CoRR (2022)
Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR (2022)
Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels
A Generic GPU-Accelerated Framework for the Dial-A-Ride Problem. IEEE Trans. Intell. Transp. Syst. 22 (10) (2021)
Hexin Liu, Leibny Paola García-Perera, Xinyi Zhang, Justin Dauwels, Andy W. H. Khong, Sanjeev Khudanpur, Suzy J. Styles
End-to-End Language Diarization for Bilingual Code-Switching Speech. Interspeech (2021)
Thangavel Prasanth, John Thomas, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. 31 (8) (2021)
Wei Yan Peh, John Thomas, Elham Bagheri, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, Justin Dauwels
Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. Int. J. Neural Syst. 31 (6) (2021)
Justin Dauwels
Editorial: Celebration of the 30th Anniversary of IJNS. Int. J. Neural Syst. 31 (12) (2021)
Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen
R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. ICIP (2021)
John Thomas, Thangavel Prasanth, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. 31 (5) (2021)
Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery. CoRR (2021)
Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels
Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields. IEEE Trans. Intell. Transp. Syst. 22 (11) (2021)
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. CoRR (2020)
Hang Yu, Songwei Wu, Luyin Xin, Justin Dauwels
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination. J. Mach. Learn. Res. 21 (2020)
Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels
Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles. CoRR (2020)
Hang Yu, Justin Dauwels
Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models. CoRR (2020)
Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels
Disruption Management for Dial-A-Ride Systems. IEEE Intell. Transp. Syst. Mag. 12 (4) (2020)
John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. 30 (11) (2020)
Rongkai Zhang, Anatolii Prokhorchuk, Justin Dauwels
Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. IJCNN (2020)
Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles. IJCAI (2020)
Yasir Tahir, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann
A User Study of a Humanoid Robot as a Social Mediator for Two-Person Conversations. Int. J. Soc. Robotics 12 (5) (2020)
Thangavel Prasanth, John Thomas, R. Yuvaraj, Jing Jing, Sydney S. Cash, Rima Chaudhari, Yee-Leng Tan, Rahul Rathakrishnan, Rohit Srivastava, Vinay Saini, M. Brandon Westover, Justin Dauwels
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. EMBC (2020)
Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet
Estimating Travel Time Distributions by Bayesian Network Inference. IEEE Trans. Intell. Transp. Syst. 21 (5) (2020)
Songwei Wu, Hang Yu, Justin Dauwels
Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. ICASSP (2020)
Satyajit Neogi, Justin Dauwels
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling. CoRR (2019)
Yi Han Victoria Chua, Justin Dauwels, Seng Chee Tan
Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? LAK (2019)
Songwei Wu, Hang Yu, Justin Dauwels
Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection. ICASSP (2019)
Zhigang Tu, Wei Xie, Justin Dauwels, Baoxin Li, Junsong Yuan
Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 29 (5) (2019)
Hang Yu, Luyin Xin, Justin Dauwels
Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models. IEEE Trans. Signal Process. 67 (24) (2019)
Aakash Kumar Narayanan, Chaitra Pranesh, Sarat Chandra Nagavarapu, B. Anil Kumar, Justin Dauwels
Data-driven Models for Short-term Travel Time Predictio. ITSC (2019)
Yi Han Victoria Chua, Preman Rajalingam, Seng Chee Tan, Justin Dauwels
EduBrowser: A Multimodal Automated Monitoring System for Co-located Collaborative Learning. LTEC (2019)
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
Online Framework for Demand-Responsive Stochastic Route Optimization. CoRR (2019)
Letao Liu, Martin Saerbeck, Justin Dauwels
Affine Disentangled GAN for Interpretable and Robust AV Perception. CoRR (2019)
Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yi Han Victoria Chua, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee
Automated Verbal and Non-verbal Speech Analysis of Interviews of Individuals with Schizophrenia and Depression. EMBC (2019)
Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels
Variational Bayesian Point Set Registration. VTC Fall (2019)
Banishree Ghosh, Muhammad Tayyab Asif, Justin Dauwels, Ulrich Fastenrath, Hongliang Guo
Dynamic Prediction of the Incident Duration Using Adaptive Feature Set. IEEE Trans. Intell. Transp. Syst. 20 (11) (2019)
P. A. Karthick, Kai Rui Wan, R. Yuvaraj, Angela An Qi See, Nicolas Kon Kam King, Justin Dauwels
Detection of Subthalamic Nucleus using Time-Frequency Features of Microelectrode recordings and Random Forest Classifier. EMBC (2019)
Jo-Yu Kuo, Nagacharan Teja Tangirala, Jeyakaran Murugesan, Abrar Sayeed, Yi Han Victoria Chua, Justin Dauwels, Marcel Philipp Mayer
Experimental Analysis of Pedestrians' Discomfort Zone for Personal Mobility Devices on the Footpath. VTC Fall (2019)
Jo-Yu Kuo, Abrar Sayeed, Nagacharan Teja Tangirala, Yi Han Victoria Chua, Justin Dauwels, Marcel Philipp Mayer
Pedestrians' Acceptance of Personal Mobility Devices on the Shared Path: A Structural Equation Modelling Approach. ITSC (2019)
Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels
Adaptive Algorithm for Dial-A-Ride Problem with Vehicle Breakdown. ECC (2019)
Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels
Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference. VTC Fall (2019)
Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields. CoRR (2019)
Ramdane Tami, Boussaad Soualmi, Abdelkrim Doufene, Javier Ibáñez, Justin Dauwels
Machine learning method to ensure robust decision-making of AVs. ITSC (2019)
Ajay Vishwanath, Aalind Singh, Yi Han Victoria Chua, Justin Dauwels, Nadia Magnenat-Thalmann
Humanoid co-workers: How is it like to work with a robot? RO-MAN (2019)
Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition. IEEE Trans. Image Process. 28 (6) (2019)
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services. ITSC (2019)
Banishree Ghosh, Yuanzheng Zhu, Justin Dauwels
Effectiveness of VMS Messages in Influencing the Motorists' Travel Behaviour. ITSC (2018)
Songguang Ho, Sarat Chandra Nagavarapu, Ramesh Ramasamy Pandi, Justin Dauwels
Improved Tabu Search Heuristics for Static Dial-A-Ride Problem: Faster and Better Convergence. CoRR (2018)
Songguang Ho, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels
Multi-atomic Annealing Heuristic for the Dial-a-ride Problem. SOLI (2018)
Jin Jing, Emile drAngremont, Sahar Zafar, Eric S. Rosenthal, Mohammad Tabaeizadeh, Senan Ebrahim, Justin Dauwels, M. Brandon Westover
Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. EMBC (2018)
Ishaan Gupta, Srivathsan Chakaravarthi Narasimman, Ravula Sugunakar Reddy, Justin Dauwels, Abhisek Ukil
Implementation of a Cost Effective Gas Pipeline Monitoring System for Water Ingress Detection. Sarnoff Symposium (2018)
Debsubhra Chakraborty, Shihao Xu, Zixu Yang, Yi Han Victoria Chua, Yasir Tahir, Justin Dauwels, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee
Prediction of Negative Symptoms of Schizophrenia from Objective Linguistic, Acoustic and Non-verbal Conversational Cues. CW (2018)
Yuvaraj Rajamanickam, John Thomas, Tilmann Kluge, Justin Dauwels
A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. ACSSC (2018)
Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Twinkle Tripathy, Justin Dauwels
GPU-Accelerated Tabu Search Algorithm for Dial-A-Ride Problem. ITSC (2018)
Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan
Actor-Action Semantic Segmentation with Region Masks. CoRR (2018)
Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yasir Tahir, Tomasz Maszczyk, Yi Han Victoria Chua, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee
Automatic Verbal Analysis of Interviews with Schizophrenic Patients. DSL (2018)
Debsubhra Chakraborty, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Magnenat-Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing-Leet Tan, Jimmy Lee
Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. ICASSP (2018)
Anusha James, Mohan Kashyap, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Justin Dauwels
Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach. TALE (2018)
Songguang Ho, Hong Wei Koh, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels
Solving Time-dependent Dial-a-ride Problem using Greedy Ant Colony Optimization. ITSC (2018)
Subhasree Basu, Yi Han Victoria Chua, Mei Wah Lee, Wanyu Geraldine Lim, Tomasz Maszczyk, Zheng Guo, Justin Dauwels
Towards a data-driven behavioral approach to prediction of insider-threat. IEEE BigData (2018)
Anusha James, Yi Han Victoria Chua, Tomasz Maszczyk, Ana Moreno Núñez, Rebecca Bull, Kerry Lee, Justin Dauwels
Automated Classification of Classroom Climate by Audio Analysis. IWSDS (2018)
Michael Hoy, Zhigang Tu, Kang Dang, Justin Dauwels
Learning to Predict Pedestrian Intention via Variational Tracking Networks. ITSC (2018)
Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan
Actor-Action Semantic Segmentation with Region Masks. BMVC (2018)
Rongkai Zhang, Anuj Abraham, Soumya Dasgupta, Justin Dauwels
Constrained Model Predictive Control using Kinematic Model of Vehicle Platooning in VISSIM Simulator. ICARCV (2018)
Pallavi Mitra, Apratirn Choudhury, Vimal Rau Aparow, Giridharan Kulandaivelu, Justin Dauwels
Towards Modeling of Perception Errors in Autonomous Vehicles. ITSC (2018)
Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels
Deterministic Annealing for Depot optimization: Applications to the Dial-A-Ride Problem. SSCI (2018)
Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover
Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. ICASSP (2018)
Nagacharan Teja Tangirala, Anuj Abraham, Apratim Choudhury, Pranjal Vyas, Rongkai Zhang, Justin Dauwels
Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication. SSCI (2018)
Shihao Xu, Zixu Yang, Debsubhra Chakraborty, Yasir Tahir, Tomasz Maszczyk, Yi Han Victoria Chua, Justin Dauwels, Daniel Thalmann, Nadia Magnenat-Thalmann, Bhing-Leet Tan, Jimmy Chee Keong Lee
Automated Lexical Analysis of Interviews with Individuals with Schizophrenia. IWSDS (2018)

Justin Dauwels.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Justin Dauwels