| A survey on adverse drug reaction studies: data, tasks and machine learning methods DA Nguyen, CH Nguyen, H Mamitsuka Briefings in bioinformatics 22 (1), 164-177, 2021 | 44 | 2021 |
| Dynamic transformation of prior knowledge into Bayesian models for data streams TX Bach, ND Anh, N Van Linh, K Than IEEE Transactions on Knowledge and Data Engineering 35 (4), 3742-3750, 2021 | 10 | 2021 |
| Boosting prior knowledge in streaming variational bayes DA Nguyen, KA Nguyen, CH Nguyen, K Than Neurocomputing 424, 143-159, 2021 | 10 | 2021 |
| Reordering dimensions for radial visualization of multidimensional data—a genetic algorithms approach HTT Binh, T Van Long, NX Hoai, ND Anh, PM Truong 2014 IEEE Congress on Evolutionary Computation (CEC), 951-958, 2014 | 9 | 2014 |
| Central-Smoothing Hypergraph Neural Networks for Predicting Drug–Drug Interactions DA Nguyen, CH Nguyen, H Mamitsuka IEEE Transactions on Neural Networks and Learning Systems, 1-6, 2023 | 8 | 2023 |
| SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug–drug interactions DA Nguyen, CH Nguyen, P Petschner, H Mamitsuka Bioinformatics 38 (Supplement_1), i333-i341, 2022 | 8 | 2022 |
| 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 |
| Neural poisson factorization N Van Linh, DA Nguyen, TB Nguyen, K Than IEEE Access 8, 106395-106407, 2020 | 7 | 2020 |
| How to make a machine learn continuously: a tutorial of the Bayesian approach K Than, X Bui, T Nguyen-Trong, K Truong, S Nguyen, B Tran, LN Van, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 1 | 2019 |