A multitask transfer learning framework for the prediction of virus-human protein–protein interactions TN Dong, G Brogden, G Gerold, M Khosla BMC bioinformatics 22, 1-24, 2021 | 18 | 2021 |
MuCoMiD: A Multitask Graph Convolutional Learning Framework for miRNA-Disease Association Prediction N Dong, S Mücke, M Khosla IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2022 | 10 | 2022 |
Revisiting feature selection with data complexity NT Dong, M Khosla 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 10 | 2020 |
Attentive neural network for named entity recognition in vietnamese KA Nguyen, N Dong, CT Nguyen 2019 IEEE-RIVF International Conference on Computing and Communication …, 2019 | 8 | 2019 |
Natural language generation from graphs NT Dong, LB Holder International journal of semantic computing 8 (03), 335-384, 2014 | 8 | 2014 |
Towards a consistent evaluation of miRNA-disease association prediction models TN Dong, M Khosla 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 6 | 2020 |
A message passing framework with multiple data integration for miRNA-disease association prediction TN Dong, J Schrader, S Mücke, M Khosla Scientific Reports 12, 16259, 2022 | 5 | 2022 |
Attentive neural network for named entity recognition in vietnamese N Dong, KA Nguyen arXiv preprint arXiv:1810.13097, 2018 | 5 | 2018 |
A multitask transfer learning framework for novel virus-human protein interactions TN Dong, M Khosla bioRxiv, 2021 | 2 | 2021 |
Multi-label Node Classification On Graph-Structured Data T Zhao, NT Dong, A Hanjalic, M Khosla arXiv preprint arXiv:2304.10398, 2023 | 1 | 2023 |
Joint learning from multiple information sources for biological problems TN Dong Hannover: Gottfried Wilhelm Leibniz Universität, 2023 | | 2023 |
MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction T Ngan Dong, M Khosla arXiv e-prints, arXiv: 2108.04820, 2021 | | 2021 |
A consistent evaluation of miRNA-disease association prediction models NT Dong, M Khosla bioRxiv, 2020.05. 04.075754, 2020 | | 2020 |