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Khoat Than
Khoat Than
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Fully Sparse Topic Models
K Than, TB Ho
European Conference on Machine Learning and Principles and Practice of ¡¦, 2012
592012
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
532019
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
232017
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
222020
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
192019
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
142021
Author's Accepted Manuscript
MA Khan
132015
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
122022
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
112022
An effective framework for supervised dimension reduction
K Than, TB Ho, DK Nguyen
Neurocomputing 139, 397-407, 2014
112014
A graph convolutional topic model for short and noisy text streams
N Van Linh, TX Bach, K Than
Neurocomputing 468, 345-359, 2022
102022
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
102020
Evaluating named-entity recognition approaches in plant molecular biology
H Do, K Than, P Larmande
International Conference on Multi-disciplinary Trends in Artificial ¡¦, 2018
102018
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
102016
Guaranteed inference in topic models
K Than, T Doan
arXiv preprint arXiv:1512.03308, 2015
102015
Dual online inference for latent Dirichlet allocation
K Than, T Doan
Asian Conference on Machine Learning, 80-95, 2015
102015
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
92018
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
82021
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
82019
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
82017
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