A paper at IEEE Access (ISI journal) by Xuan Bui et al.
Xuan Bui, Hieu Vu, Oanh Nguyen, Khoat Than, “MAP estimation with Bernoulli randomness, and its application to text analysis and recommender systems”. IEEE Access, 2020.
Articles by Khoat Than
A paper at ICML 2020 by Tung Nguyen et al.
Shu, Rui, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, and Hung H. Bui. “Predictive Coding for Locally-Linear Control.” ICML (2020).
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, […]
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 […]