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Results for: Phuoc Nguyen

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning

D. Nguyen, S. Venkatesh, P. Nguyen, T. Tran

2020 / pp. 33 - 48 / Asian Conference on Machine Learning

Unsupervised Anomaly Detection on Temporal Multiway Data

D. Nguyen, P. Nguyen, K. Do, S. Rana, S. Gupta, T. Tran

2020 / pp. 1059 - 1066 / 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network

P. Nguyen, T. Tran, S. Gupta, S. Rana, H. Dam, S. Venkatesh

2020 / NeurIPS 2020 Workshop on Meta-Learning

Learning distance-dependent motif interactions: an interpretable CNN model of genomic events

T. P. Quinn, D. Nguyen, P. Nguyen, S. Gupta, S. Venkatesh

2020 / bioRxiv

vUBM: A Variational Universal Background Model for EEG-Based Person Authentication

H. Tran, D. Tran, W. Ma, P. Nguyen

2019 / pp. 478 - 485 / International Conference on Neural Information Processing

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records

P. Nguyen, T. Tran, S. Venkatesh

2018 / pp. 1 - 9 / IEEE International Joint Conference on Neural Networks (IJCNN)

Finding Algebraic Structure of Care in Time: A Deep Learning Approach

P. Nguyen, T. Tran, S. Venkatesh

2017 / NIPS Workshop on Machine Learning for Health (ML4H)

Deep learning to attend to risk in ICU

P. Nguyen, T. Tran, S. Venkatesh

2017 / pp. 25 - 29 / KDH 2017: Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017

Deepr: A Convolutional Net for Medical Records

P. Nguyen, T. Tran, N. Wickramasinghe, S. Venkatesh

2017 / Vol. 21, pp. 22 - 30 / IEEE journal of biomedical and health informatics