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Phuoc Nguyen
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Journal Articles
- 2019
- [j4]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:
Closing the Wearable Gap - Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements. Sensors 19(16): 3509 (2019) - 2017
- [j3]Phuoc Nguyen
, Truyen Tran, Nilmini Wickramasinghe
, Svetha Venkatesh
:
Deepr: A Convolutional Net for Medical Records. IEEE J. Biomed. Health Informatics 21(1): 22-30 (2017) - 2013
- [j2]Trung Le, Dat Tran
, Phuoc Nguyen, Wanli Ma
, Dharmendra Sharma
:
Proximity multi-sphere support vector clustering. Neural Comput. Appl. 22(7-8): 1309-1319 (2013) - 2010
- [j1]Tuan Hoang, Phuoc Nguyen, Trung Le, Dat Tran, Dharmendra Sharma:
Enhancing Performance of SVM-Based Brain-Computer Interface Systems. Aust. J. Intell. Inf. Process. Syst. 11(3) (2010)
Conference and Workshop Papers
- 2024
- [c37]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI 2024: 20508-20515 - [c36]Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen:
Robust Estimation of Causal Heteroscedastic Noise Models. SDM 2024: 788-796 - 2023
- [c35]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do
, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c34]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. ICDM 2023: 598-607 - 2022
- [c33]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c32]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. AAMAS 2022: 963-971 - 2021
- [c31]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana
, Hieu-Chi Dam, Svetha Venkatesh:
Variational Hyper-encoding Networks. ECML/PKDD (2) 2021: 100-115 - [c30]Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana
, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh:
Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) 2021: 250-265 - [c29]Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana
, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh:
Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) 2021: 330-345 - 2020
- [c28]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML 2020: 33-48 - [c27]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI 2020: 1059-1066 - 2019
- [c26]Phuoc Nguyen, Alexandra L. Uitdenbogerd:
Measuring English Readability for Vietnamese Speakers. ALTA 2019: 136-145 - [c25]Huyen Tran, Dat Tran
, Wanli Ma, Phuoc Nguyen:
vUBM: A Variational Universal Background Model for EEG-Based Person Authentication. ICONIP (4) 2019: 478-485 - [c24]Huyen Tran, Dat Tran
, Wanli Ma, Phuoc Nguyen:
EEG-Based Person Authentication with Variational Universal Background Model. NSS 2019: 418-432 - [c23]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh:
Incomplete Conditional Density Estimation for Fast Materials Discovery. SDM 2019: 549-557 - 2018
- [c22]James Sunthonlap, Phuoc Nguyen, Hao Wang
, Mohammad Pourhomanyoun, Yuqing Zhu, Zilong Ye:
SAND: A Social-Aware and Distributed Scheme for Device Discovery in the Internet of Things. ICNC 2018: 38-42 - [c21]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. IJCNN 2018: 1-9 - 2017
- [c20]Phuoc Nguyen, Nam Tuan Le
, Yeong Min Jang:
Challenges issues for OCC based android camera 2 API. ICUFN 2017: 669-673 - [c19]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. KDH@IJCAI 2017: 25-29 - 2015
- [c18]Phuoc Nguyen, Dat Tran
:
Repulsive-SVDD Classification. PAKDD (1) 2015: 277-288 - 2014
- [c17]Dinh Q. Phung, Dat Tran, Wanli Ma, Phuoc Nguyen, Tien Pham:
Using Shannon Entropy as EEG Signal Feature for Fast Person Identification. ESANN 2014 - [c16]Phuoc Nguyen, Dat Tran
, Xu Huang, Wanli Ma
:
A Novel Sphere-Based Maximum Margin Classification Method. ICPR 2014: 620-624 - [c15]Dinh Q. Phung, Dat Tran
, Wanli Ma
, Phuoc Nguyen, Tien Pham:
Investigating the impacts of epilepsy on EEG-based person identification systems. IJCNN 2014: 3644-3648 - [c14]Tien Pham, Wanli Ma
, Dat Tran
, Phuoc Nguyen, Dinh Q. Phung:
Multi-factor EEG-based user authentication. IJCNN 2014: 4029-4034 - [c13]Tien Pham, Wanli Ma
, Dat Tran
, Phuoc Nguyen, Dinh Q. Phung:
EEG-Based User Authentication Using Artifacts. SOCO-CISIS-ICEUTE 2014: 343-353 - 2013
- [c12]Tien Pham, Wanli Ma
, Dat Tran
, Phuoc Nguyen, Dinh Q. Phung:
EEG-Based User Authentication in Multilevel Security Systems. ADMA (2) 2013: 513-523 - [c11]Tien Pham, Wanli Ma
, Dat Tran
, Phuoc Nguyen, Dinh Q. Phung:
A Study on the Feasibility of Using EEG Signals for Authentication Purpose. ICONIP (2) 2013: 562-569 - [c10]Phuoc Nguyen, Dat Tran
, Tan Vo, Xu Huang, Wanli Ma
, Dinh Q. Phung:
EEG-Based Age and Gender Recognition Using Tensor Decomposition and Speech Features. ICONIP (2) 2013: 632-639 - [c9]Phuoc Nguyen, Dat Tran
, Xu Huang, Wanli Ma
:
Parallel Support Vector Data Description. IWANN (1) 2013: 280-290 - [c8]Phuoc Nguyen, Dat Tran
, Xu Huang, Wanli Ma
:
Motor Imagery EEG-Based Person Verification. IWANN (2) 2013: 430-438 - [c7]Phuoc Nguyen, Dat Tran
, Trung Le, Xu Huang, Wanli Ma
:
EEG-Based Person Verification Using Multi-Sphere SVDD and UBM. PAKDD (1) 2013: 289-300 - 2011
- [c6]Trung Le, Dat Tran
, Phuoc Nguyen, Wanli Ma
, Dharmendra Sharma
:
Multi-Sphere Support Vector Clustering. ICONIP (2) 2011: 537-544 - [c5]Trung Le, Dat Tran
, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma
:
Multiple distribution data description learning method for novelty detection. IJCNN 2011: 2321-2326 - 2010
- [c4]Dat Tran
, Wanli Ma
, Dharmendra Sharma
, Phuoc Nguyen:
Fuzzy feature weighting techniques for vector quantisation. FUZZ-IEEE 2010: 1-6 - [c3]Phuoc Nguyen, Trung Le, Dat Tran, Xu Huang, Dharmendra Sharma:
Fuzzy support vector machines for age and gender classification. INTERSPEECH 2010: 2806-2809 - [c2]Phuoc Nguyen, Dat Tran
, Xu Huang, Dharmendra Sharma
:
Automatic Speech-Based Classification of Gender, Age and Accent. PKAW 2010: 288-299 - [c1]Phuoc Nguyen, Dat Tran
, Xu Huang, Dharmendra Sharma
:
Australian Accent-Based Speaker Classification. WKDD 2010: 416-419
Informal and Other Publications
- 2024
- [i17]Hassan Shakil, Atqiya Munawara Mahi, Phuoc Nguyen, Zeydy Ortiz, Mamoun T. Mardini:
Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT. CoRR abs/2405.04053 (2024) - 2023
- [i16]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i15]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. CoRR abs/2309.01392 (2023) - [i14]Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen:
Robust Estimation of Causal Heteroscedastic Noise Models. CoRR abs/2312.10102 (2023) - [i13]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR abs/2312.11818 (2023) - 2022
- [i12]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. CoRR abs/2204.09047 (2022) - [i11]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. CoRR abs/2204.12937 (2022) - [i10]Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh:
Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR abs/2205.06404 (2022) - 2020
- [i9]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. CoRR abs/2005.08482 (2020) - [i8]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR abs/2009.07445 (2020) - [i7]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR abs/2009.09443 (2020) - 2018
- [i6]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. CoRR abs/1802.00948 (2018) - [i5]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Hybrid Generative-Discriminative Models for Inverse Materials Design. CoRR abs/1811.06060 (2018) - 2017
- [i4]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. CoRR abs/1707.05010 (2017) - [i3]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Finding Algebraic Structure of Care in Time: A Deep Learning Approach. CoRR abs/1711.07980 (2017) - [i2]James Sunthonlap, Phuoc Nguyen, Zilong Ye:
Intelligent Device Discovery in the Internet of Things - Enabling the Robot Society. CoRR abs/1712.08296 (2017) - 2016
- [i1]Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh:
Deepr: A Convolutional Net for Medical Records. CoRR abs/1607.07519 (2016)
Coauthor Index
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