A paper at KAIS (ISI journal) by Tuan-Anh Phan et al.
Anh Tuan Phan, Bach Tran, Thien Huu Nguyen, Linh Van Ngo, Khoat Than, “Bag of biterms modeling for short texts”, Knowledge and Information Systems (KAIS) journal, […]
Articles by Khoat Than
A paper at IEEE Access (ISI journal) by Linh Ngo et al.
N. Van Linh, D. A. Nguyen, T. B. Nguyen and K. Than, “Neural Poisson Factorization,” in IEEE Access, doi: 10.1109/ACCESS.2020.2994239.
Seminar by Prof. Khoa Luu on 7/1/2020: Biometrics: From Theory to Practice
Time: 15:00 on 7/1/2020 Place: room 803, B1 building, HUST Presenter: Khoa Luu, VinAI Senior Research Scientist & Assistant Professor, Director, Computer Vision and Image Understanding, University of Arkansas, […]
Annual invitation to join our research group on Machine Learning
Nhóm nghiên cứu về Machine Learning (ML) tại DSLab được dẫn dắt bởi thầy Khoát và một số thầy cô có nhiều kinh nghiệm. Nếu […]
A paper at IEEE Big Data 2019 by Van-Son Nguyen et al.
Van-Son Nguyen, Duc-Tung Nguyen, Linh Ngo Van, Khoat Than, “Infinite Dropout for training Bayesian models from data streams”, In Proceedings of IEEE International Conference on Big […]
2 new projects funded by VINIF
See at http://ds.soict.hust.edu.vn/?page_id=18
A paper at IJA (SCI journal) by Cuong Ha-Nhat et al
Cuong Ha-Nhat, Dang Tran, Linh Ngo Van, Khoat Than, “Eliminating overfitting of probabilistic topic models on short and noisy text: The role of Dropout”, International Journal […]
Seminar by Nguyen Vu Linh on 24/10/2018: Epistemic and Aleatoric Uncertainties in Active Learning and Classification.
Time: 15:00 on 24/10/2018 Place: room 1002, building B1 (HUST) Presenter: Nguyen Vu Linh, UMR CNRS 7253 Heudiasyc, Sorbonne universités, Université de technologie de Compiègne, Compiègne, […]
