Fully Sparse Topic Models K Than, TB Ho European Conference on Machine Learning and Principles and Practice of ¡¦, 2012 | 59 | 2012 |
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout C Ha, VD Tran, LN Van, K Than International Journal of Approximate Reasoning 112, 85-104, 2019 | 53 | 2019 |
An effective and interpretable method for document classification N Van Linh, NK Anh, K Than, CN Dang Knowledge and Information Systems 50, 763-793, 2017 | 23 | 2017 |
Predictive coding for locally-linear control R Shu, T Nguyen, Y Chow, T Pham, K Than, M Ghavamzadeh, S Ermon, ... International Conference on Machine Learning, 8862-8871, 2020 | 22 | 2020 |
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings LT Nguyen, LV Ngo, K Than, TH Nguyen The 57th Annual Meeting of the Association for Computational Linguistics 57 ¡¦, 2019 | 19 | 2019 |
Utilizing sbert for finding similar questions in community question answering TT Ha, VN Nguyen, KH Nguyen, KA Nguyen, QK Than 2021 13th International Conference on Knowledge and Systems Engineering (KSE ¡¦, 2021 | 14 | 2021 |
Author's Accepted Manuscript MA Khan | 13 | 2015 |
An interpretable deep learning model for classifying adaptor protein complexes from sequence information QH Kha, TO Tran, VN Nguyen, K Than, NQK Le Methods 207, 90-96, 2022 | 12 | 2022 |
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users Q Tran, L Tran, LC Hai, N Van Linh, K Than Neurocomputing 479, 89-105, 2022 | 11 | 2022 |
An effective framework for supervised dimension reduction K Than, TB Ho, DK Nguyen Neurocomputing 139, 397-407, 2014 | 11 | 2014 |
A graph convolutional topic model for short and noisy text streams N Van Linh, TX Bach, K Than Neurocomputing 468, 345-359, 2022 | 10 | 2022 |
Bag of biterms modeling for short texts AP Tuan, B Tran, TH Nguyen, LN Van, K Than Knowledge and Information Systems 62 (10), 4055-4090, 2020 | 10 | 2020 |
Evaluating named-entity recognition approaches in plant molecular biology H Do, K Than, P Larmande International Conference on Multi-disciplinary Trends in Artificial ¡¦, 2018 | 10 | 2018 |
Enabling hierarchical Dirichlet processes to work better for short texts at large scale K Mai, S Mai, A Nguyen, N Van Linh, K Than Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia ¡¦, 2016 | 10 | 2016 |
Guaranteed inference in topic models K Than, T Doan arXiv preprint arXiv:1512.03308, 2015 | 10 | 2015 |
Dual online inference for latent Dirichlet allocation K Than, T Doan Asian Conference on Machine Learning, 80-95, 2015 | 10 | 2015 |
Collaborative topic model for poisson distributed ratings HM Le, ST Cong, QP The, N Van Linh, K Than International Journal of Approximate Reasoning 95, 62-76, 2018 | 9 | 2018 |
Predicting miRNA–disease associations using improved random walk with restart and integrating multiple similarities VT Nguyen, TTK Le, K Than, DH Tran Scientific Reports 11 (1), 21071, 2021 | 8 | 2021 |
Infinite Dropout for training Bayesian models from data streams VS Nguyen, DT Nguyen, LN Van, K Than 2019 IEEE international conference on big data (Big Data), 125-134, 2019 | 8 | 2019 |
Keeping priors in streaming Bayesian learning AN Duc, N Van Linh, AN Kim, K Than Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia ¡¦, 2017 | 8 | 2017 |