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Oliver Y. Chén
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2020 – today
- 2024
- [c11]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:
Tensor Kernel Learning for Classification of Alzheimer's Conditions using Multimodal Data. MAPR 2024: 1-6 - [i16]Annie Hu, Samuel Stockman, Xun Wu, Richard Wood, Bangdong Zhi, Oliver Y. Chén:
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning. CoRR abs/2404.18670 (2024) - 2023
- [j11]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, Xiaojun Wang, Maarten De Vos
The roles, challenges, and merits of the p value. Patterns 4(12): 100878 (2023) - [j10]Oliver Y. Chén
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics 27(7): 3633-3644 (2023) - [j9]Huy Phan
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. IEEE J. Biomed. Health Informatics 27(10): 4748-4757 (2023) - [c10]Huy Phan, Elisabeth R. M. Heremans
Improving Automatic Sleep Staging Via Temporal Smoothness Regularization. ICASSP 2023: 1-5 - [c9]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, Guy Nagels, Maarten De Vos
The Statistical Analysis of the Varying Brain. SSP 2023: 700-704 - [i15]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:
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. CoRR abs/2301.03441 (2023) - 2022
- [j8]Huy Phan
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5903-5915 (2022) - [j7]Huy Phan
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Trans. Biomed. Eng. 69(8): 2456-2467 (2022) - [i14]Oliver Y. Chén:
Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice. CoRR abs/2207.01511 (2022) - 2021
- [j6]Oliver Y. Chén, Bryn Roberts:
Personalized Health Care and Public Health in the Digital Age. Frontiers Digit. Health 3: 595704 (2021) - [j5]Oliver Y. Chén
Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. NeuroImage 226: 117508 (2021) - [j4]Huy Phan
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Trans. Biomed. Eng. 68(6): 1787-1798 (2021) - [c8]Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Ian McLoughlin
Multi-View Audio And Music Classification. ICASSP 2021: 611-615 - [c7]Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin
Self-Attention Generative Adversarial Network for Speech Enhancement. ICASSP 2021: 7103-7107 - [i13]Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Ian McLoughlin, Alfred Mertins:
Multi-view Audio and Music Classification. CoRR abs/2103.02420 (2021) - [i12]Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos:
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification. CoRR abs/2105.11043 (2021) - 2020
- [j3]Huy Phan
Improving GANs for Speech Enhancement. IEEE Signal Process. Lett. 27: 1700-1704 (2020) - [j2]Oliver Y. Chén
Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. IEEE Trans. Biomed. Eng. 67(12): 3491-3500 (2020) - [i11]Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins:
Improving GANs for Speech Enhancement. CoRR abs/2001.05532 (2020) - [i10]Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos:
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. CoRR abs/2004.11349 (2020) - [i9]Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos:
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. CoRR abs/2007.05492 (2020) - [i8]Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins:
Self-Attention Generative Adversarial Network for Speech Enhancement. CoRR abs/2010.09132 (2020)
2010 – 2019
- 2019
- [j1]Huy Phan
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Trans. Biomed. Eng. 66(5): 1285-1296 (2019) - [c6]Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging. EMBC 2019: 1829-1833 - [c5]Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. EUSIPCO 2019: 1-5 - [c4]Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin
Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks. ICASSP 2019: 51-55 - [c3]Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos
Spatio-Temporal Attention Pooling for Audio Scene Classification. INTERSPEECH 2019: 3845-3849 - [i7]Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins:
Spatio-Temporal Attention Pooling for Audio Scene Classification. CoRR abs/1904.03543 (2019) - [i6]Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos:
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. CoRR abs/1904.05945 (2019) - [i5]Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. CoRR abs/1907.13177 (2019) - 2018
- [c2]Huy Phan, Fernando Andreotti, Navin Cooray
DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. EMBC 2018: 453-456 - [c1]Huy Phan, Fernando Andreotti, Navin Cooray
Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. EMBC 2018: 1452-1455 - [i4]Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos:
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. CoRR abs/1805.06546 (2018) - [i3]Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos:
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. CoRR abs/1809.10932 (2018) - [i2]Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks. CoRR abs/1811.01092 (2018) - [i1]Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? CoRR abs/1811.01095 (2018)
Coauthor Index
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