Binh T. Nguyen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Multimodal Data

Principal Components

Top Venues

Publications

Tien K. Nguyen, Phu Vong, Hieu Tran, Taddy Truong, Binh T. Nguyen
A Computer Vision Based Approach for Energy-Efficient Air Conditioner Control. IEA/AIE (2024)
Thinh Nguyen, Khoa D. Doan, Binh T. Nguyen, Danh Le-Phuoc, Kok-Seng Wong
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator. CoRR (2024)
Hoang H. Le, Cong-Thanh Nguyen, Thinh P. Ngo, Phu V. Vinh, Binh T. Nguyen, Anh T. Huynh, Hien D. Nguyen
Intelligent Retrieval System on Legal Information. ACIIDS (1) (2023)
Thinh Tran Huu Nguyen, Phuc Nguyen, Van Phuc Nguyen, Linh H. G. Tran, Manh Van Le, Binh T. Nguyen
Increased Query2Label (IQ) for Small Fine-grained Multi-label Classification. KSE (2023)
Binh T. Nguyen, Linh Nguyen, Tanveer A. Choudhury, Kathleen Keogh, Manzur Murshed
Depth-based Sampling and Steering Constraints for Memoryless Local Planners. J. Intell. Robotic Syst. 109 (3) (2023)
Thuy-An Phan-Thi, Nu T. Dinh, Son Huynh Thanh, Binh T. Nguyen
Portfolio Optimization for Long-Term Investment: An Empirical Study. SoMeT (2023)
Dat Q. Duong, Tuan-Anh Tran, Phuong Nhi Nguyen Kieu, Tien K. Nguyen, Bao Le, Stephen Baker, Binh T. Nguyen
A Deep Learning Approach to Segment High-Content Images of the E. coli Bacteria. ACIVS (2023)
Phuc Nguyen, Linh G. H. Tran, Bao H. Le, Thuong H. T. Nguyen, Thu Nguyen, Hien D. Nguyen, Binh T. Nguyen
Faster Imputation Using Singular Value Decomposition for Sparse Data. ACIIDS (1) (2023)
Thuong H. T. Nguyen, Bao Le, Phuc Nguyen, Linh G. H. Tran, Thu Nguyen, Binh T. Nguyen
Principal Components Analysis Based Imputation for Logistic Regression. IEA/AIE (1) (2023)
Bao Le, Thi Quynh Pham, Anh Thi Van Hoang, Binh T. Nguyen
OphNER: Named Entity Recognition for Ophthalmology Newspapers. KSE (2023)
Thao V. Ha, Hoang Nguyen, Son T. Huynh, Trung T. Nguyen, Binh T. Nguyen
Fall detection using multimodal data. CoRR (2022)
Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension. CoRR (2022)
Duc H. Le, Tram T. Doan, Son T. Huynh, Binh T. Nguyen
SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System. CoRR (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR (2022)
Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension. NeurIPS (2022)
Thao V. Ha, Hoang Nguyen, Son T. Huynh, Trung T. Nguyen, Binh T. Nguyen
Fall Detection Using Multimodal Data. MMM (1) (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS (2022)
Tri Gia Nguyen, Trung V. Phan, Binh T. Nguyen, Chakchai So-In, Zubair Ahmed Baig, Surasak Sanguanpong
SeArch: A Collaborative and Intelligent NIDS Architecture for SDN-Based Cloud IoT Networks. IEEE Access 7 (2019)
Ha Q. Nguyen, Binh T. Nguyen, Trung Q. Dong, Dat T. Ngo, Tuan A. Nguyen
Deep Q-Learning with Multiband Sensing for Dynamic Spectrum Access. DySPAN (2018)
Ha Q. Nguyen, Ha P. K. Nguyen, Binh T. Nguyen
An Image Processing Approach to Wideband Spectrum Sensing of Heterogeneous Signals. CrownCom (2018)