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 […]
Recent publications
A paper at ACML-2019 by Tuan Anh Phan et al
Tuan Anh Phan, Nhat Nguyen Trong, Duong Bui, Linh Van Ngo, and Khoat Than, “From Implicit to Explicit Feedbacks: A deep neural network for modeling […]
A paper at ACL-2019 by Linh The Nguyen et al
Linh The Nguyen, Linh Van Ngo, Khoat Than and Thien Huu Nguyen, “Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via […]
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 […]
4 papers got accepted at CiCling-2018.
Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise, “A flexible stochastic method for solving the MAP problem in topic models”, Proceeding of International Conference on […]
A paper at IJA (ISI journal) by Hoa Le Minh et al.
Hoa Le Minh, Son Ta Cong, Quyen Pham The, Linh Ngo Van, Khoat Than, “Collaborative Topic Model for Poisson distributed ratings”, International Journal of Approximate […]
2 papers got accepted at PAKDD-2017.
Duc-Anh Nguyen, Kim Anh Nguyen, Linh Ngo, Khoat Than, “Keeping priors in streaming Bayesian learning”, In Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and […]
A paper at KAIS (ISI journal) by Ngo Van Linh et al.
Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang, “An Effective and Interpretable Method for Document Classification”, Knowledge and Information Systems (KAIS) journal. 2016
A paper at LREC-2016 by Kiem-Hieu Nguyen et al.
Kiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret and Romaric Besançon. A Dataset for Open Event Extraction in English. In Proceedings of 10th Language Resources and Evaluation […]