DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (CoRR, 2018)

Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? - Huy Phan; Oliver Y. Chén; Philipp Koch; Lam Dang Pham; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (CoRR, 2018)

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (EMBC, 2019)

Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (EUSIPCO, 2019)

Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks. - Huy Phan; Oliver Y. Chén; Philipp Koch; Lam Dang Pham; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (ICASSP, 2019)

Spatio-Temporal Attention Pooling for Audio Scene Classification. - Huy Phan; Oliver Y. Chén; Lam Dang Pham; Philipp Koch; Maarten De Vos; Ian McLoughlin 001; Alfred Mertins (INTERSPEECH, 2019)

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (IEEE Trans. Biomed. Eng., 2019)

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. - Huy Phan; Kaare B. Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Preben Kidmose; Maarten De Vos (CoRR, 2020)

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (CoRR, 2020)

Improving GANs for Speech Enhancement. - Huy Phan; Ian Vince McLoughlin; Lam Dang Pham; Oliver Y. Chén; Philipp Koch; Maarten De Vos; Alfred Mertins (IEEE Signal Process. Lett., 2020)

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; John Prince; Kirsten I. Taylor; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE Trans. Biomed. Eng., 2020)

Self-Attention Generative Adversarial Network for Speech Enhancement. - Huy Phan; Huy Le Nguyen; Oliver Y. Chén; Philipp Koch; Ngoc Q. K. Duong; Ian McLoughlin 001; Alfred Mertins (ICASSP, 2021)

Multi-View Audio And Music Classification. - Huy Phan; Huy Le Nguyen; Oliver Y. Chén; Lam Dang Pham; Philipp Koch; Ian McLoughlin 001; Alfred Mertins (ICASSP, 2021)

Personalized Health Care and Public Health in the Digital Age. - Oliver Y. Chén; Bryn Roberts (Frontiers Digit. Health, 2021)

Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. - Oliver Y. Chén; Hengyi Cao; Huy Phan; Guy Nagels; Jenna M. Reinen; Jiangtao Gou; Tianchen Qian; Junrui Di; John Prince; Tyrone D. Cannon; Maarten De Vos (NeuroImage, 2021)

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. - Huy Phan; Oliver Y. Chén; Philipp Koch; Zongqing Lu 002; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (IEEE Trans. Biomed. Eng., 2021)

Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice. - Oliver Y. Chén (CoRR, 2022)

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. - Huy Phan; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Maarten De Vos (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. - Huy Phan; Kaare B. Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (IEEE Trans. Biomed. Eng., 2022)

Improving Automatic Sleep Staging Via Temporal Smoothness Regularization. - Huy Phan; Elisabeth R. M. Heremans; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (ICASSP, 2023)

The Statistical Analysis of the Varying Brain. - Oliver Y. Chén; Duy Thanh Vu; Gilbert Greub; Hengyi Cao; Xingru He; Yannick Muller; Constantinos Petrovas; Haochang Shou; Viet-Dung Nguyen; Bangdong Zhi; Laurent Perez; Jean Louis Raisaro; et al. (SSP, 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. - Huy Phan; Kristian P. Lorenzen; Elisabeth R. M. Heremans; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Mathias Baumert; Kaare B. Mikkelsen; Maarten De Vos (CoRR, 2023)

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; Frank Dondelinger; Andrew P. Creagh; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. - Huy Phan; Kristian P. Lorenzen; Elisabeth R. M. Heremans; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Mathias Baumert; Kaare B. Mikkelsen; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2023)

The roles, challenges, and merits of the p value. - Oliver Y. Chén; Julien S. Bodelet; Raúl G. Saraiva; Huy Phan; Junrui Di; Guy Nagels; Tom Schwantje; Hengyi Cao; Jiangtao Gou; Jenna M. Reinen; Bin Xiong; Bangdong Zhi; et al. (Patterns, 2023)

Tensor Kernel Learning for Classification of Alzheimer's Conditions using Multimodal Data. - Duy Thanh Vu; Le Trung Thanh; Pham Minh Tuan; Nguyen Linh Trung; Karim Abed-Meraim; Mouloud Adel; Viet-Dung Nguyen; Nguyen Thanh Trung; Dinh Doan Long; Oliver Y. Chén (MAPR, 2024)

Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning. - Annie Hu; Samuel Stockman; Xun Wu; Richard Wood; Bangdong Zhi; Oliver Y. Chén (CoRR, 2024)

VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis. - Duy-Cat Can; Linh D. Dang; Quang-Huy Tang; Dang Minh Ly; Huong Ha 002; Guillaume Blanc; Oliver Y. Chén; Binh T. Nguyen 001 (CoRR, 2025)

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values. - Christelle Schneuwly Diaz; Duy-Thanh Vu; Julien Bodelet; Duy-Cat Can; Guillaume Blanc; Haiting Jiang; Lin Yao; Guiseppe Pantaleo; Adni; Oliver Y. Chén (CoRR, 2025)

Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction. - Narmina Baghirova; Duy-Thanh Vu; Duy-Cat Can; Christelle Schneuwly Diaz; Julien Bodelet; Guillaume Blanc; Georgi Hrusanov; Bernard Ries; Oliver Y. Chén (CoRR, 2025)

REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis. - Duy-Cat Can; Quang-Huy Tang; Huong Ha 002; Binh T. Nguyen 001; Oliver Y. Chén (CoRR, 2025)

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions. - Tung-Lam Ngo; Ba-Hoang Tran; Duy-Cat Can; Trung-Hieu Do; Oliver Y. Chén; Hoang-Quynh Le (CoRR, 2025)