Phuoc Nguyen

According to our database, Phuoc Nguyen authored at least 46 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Root Cause Explanation of Outliers under Noisy Mechanisms.

Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust Estimation of Causal Heteroscedastic Noise Models.

Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen

CoRR, 2023

Differentiable Bayesian Structure Learning with Acyclicity Assurance.

Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen

Proceedings of the IEEE International Conference on Data Mining, 2023

Memory-Augmented Theory of Mind Network.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to Transfer Role Assignment Across Team Sizes.

Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning Theory of Mind via Dynamic Traits Attribution.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Fast Conditional Network Compression Using Bayesian HyperNetworks.

Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Variational Hyper-encoding Networks.

Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Knowledge Distillation with Distribution Mismatch.

Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network.

Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh

CoRR, 2020

Unsupervised Anomaly Detection on Temporal Multiway Data.

Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning.

Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Closing the Wearable Gap - Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements.

David Saucier, Tony Luczak, Phuoc Nguyen, Samaneh Davarzani, Preston Peranich, John E. Ball, Reuben F. Burch V., Brian K. Smith, Harish Chander, Adam Knight, R. K. Prabhu

Sensors, 2019

Incomplete Conditional Density Estimation for Fast Materials Discovery.

Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

EEG-Based Person Authentication with Variational Universal Background Model.

Huyen Tran, Dat Tran, Wanli Ma, Phuoc Nguyen

Proceedings of the Network and System Security - 13th International Conference, 2019

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

Huyen Tran, Dat Tran, Wanli Ma, Phuoc Nguyen

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Measuring English Readability for Vietnamese Speakers.

Phuoc Nguyen, Alexandra L. Uitdenbogerd

Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018

Hybrid Generative-Discriminative Models for Inverse Materials Design.

Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh

CoRR, 2018

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

Phuoc Nguyen, Truyen Tran, Svetha Venkatesh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

SAND: A Social-Aware and Distributed Scheme for Device Discovery in the Internet of Things.

James Sunthonlap, Phuoc Nguyen, Hao Wang, Mohammad Pourhomanyoun, Yuqing Zhu, Zilong Ye

Proceedings of the 2018 International Conference on Computing, 2018

2017

<tt>Deepr</tt>: A Convolutional Net for Medical Records.

Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh

IEEE J. Biomed. Health Informatics, 2017

Intelligent Device Discovery in the Internet of Things - Enabling the Robot Society.

James Sunthonlap, Phuoc Nguyen, Zilong Ye

CoRR, 2017

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

Phuoc Nguyen, Truyen Tran, Svetha Venkatesh

CoRR, 2017

Deep Learning to Attend to Risk in ICU.

Phuoc Nguyen, Truyen Tran, Svetha Venkatesh

Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Challenges issues for OCC based android camera 2 API.

Phuoc Nguyen, Nam Tuan Le, Yeong Min Jang

Proceedings of the Ninth International Conference on Ubiquitous and Future Networks, 2017

2016

Deepr: A Convolutional Net for Medical Records.

Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh

CoRR, 2016

2015

Repulsive-SVDD Classification.

Phuoc Nguyen, Dat Tran

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

EEG-Based User Authentication Using Artifacts.

Tien Pham, Wanli Ma, Dat Tran, Phuoc Nguyen, Dinh Q. Phung

Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Investigating the impacts of epilepsy on EEG-based person identification systems.

Dinh Q. Phung, Dat Tran, Wanli Ma, Phuoc Nguyen, Tien Pham

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-factor EEG-based user authentication.

Tien Pham, Wanli Ma, Dat Tran, Phuoc Nguyen, Dinh Q. Phung

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Novel Sphere-Based Maximum Margin Classification Method.

Phuoc Nguyen, Dat Tran, Xu Huang, Wanli Ma

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Using Shannon Entropy as EEG Signal Feature for Fast Person Identification.

Dinh Q. Phung, Dat Tran, Wanli Ma, Phuoc Nguyen, Tien Pham

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Proximity multi-sphere support vector clustering.

Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma

Neural Comput. Appl., 2013

EEG-Based Person Verification Using Multi-Sphere SVDD and UBM.

Phuoc Nguyen, Dat Tran, Trung Le, Xu Huang, Wanli Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Motor Imagery EEG-Based Person Verification.

Phuoc Nguyen, Dat Tran, Xu Huang, Wanli Ma

Proceedings of the Advances in Computational Intelligence, 2013

Parallel Support Vector Data Description.

Phuoc Nguyen, Dat Tran, Xu Huang, Wanli Ma

Proceedings of the Advances in Computational Intelligence, 2013

A Study on the Feasibility of Using EEG Signals for Authentication Purpose.

Tien Pham, Wanli Ma, Dat Tran, Phuoc Nguyen, Dinh Q. Phung

Proceedings of the Neural Information Processing - 20th International Conference, 2013

EEG-Based Age and Gender Recognition Using Tensor Decomposition and Speech Features.

Phuoc Nguyen, Dat Tran, Tan Vo, Xu Huang, Wanli Ma, Dinh Q. Phung

Proceedings of the Neural Information Processing - 20th International Conference, 2013

EEG-Based User Authentication in Multilevel Security Systems.

Tien Pham, Wanli Ma, Dat Tran, Phuoc Nguyen, Dinh Q. Phung

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2011

Multiple distribution data description learning method for novelty detection.

Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Multi-Sphere Support Vector Clustering.

Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Enhancing Performance of SVM-Based Brain-Computer Interface Systems.

Tuan Hoang, Phuoc Nguyen, Trung Le, Dat Tran, Dharmendra Sharma

Aust. J. Intell. Inf. Process. Syst., 2010

Australian Accent-Based Speaker Classification.

Phuoc Nguyen, Dat Tran, Xu Huang, Dharmendra Sharma

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

Automatic Speech-Based Classification of Gender, Age and Accent.

Phuoc Nguyen, Dat Tran, Xu Huang, Dharmendra Sharma

Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Fuzzy support vector machines for age and gender classification.

Phuoc Nguyen, Trung Le, Dat Tran, Xu Huang, Dharmendra Sharma

Proceedings of the INTERSPEECH 2010, 2010

Fuzzy feature weighting techniques for vector quantisation.

Dat Tran, Wanli Ma, Dharmendra Sharma, Phuoc Nguyen

Proceedings of the FUZZ-IEEE 2010, 2010