| Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches DH Nguyen, CH Nguyen, H Mamitsuka Briefings in bioinformatics 20 (6), 2028-2043, 2019 | 83 | 2019 |
| Deep neural networks for recognizing online handwritten mathematical symbols H Dai Nguyen, AD Le, M Nakagawa 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 121-125, 2015 | 42 | 2015 |
| SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra DH Nguyen, CH Nguyen, H Mamitsuka Bioinformatics 34 (13), i323-i332, 2018 | 39 | 2018 |
| Recognition of online handwritten math symbols using deep neural networks H Dai Nguyen, AD Le, M Nakagawa IEICE TRANSACTIONS on Information and Systems 99 (12), 3110-3118, 2016 | 28 | 2016 |
| ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra DH Nguyen, CH Nguyen, H Mamitsuka Bioinformatics 35 (14), i164-i172, 2019 | 25 | 2019 |
| Semi-supervised learning of hierarchical representations of molecules using neural message passing H Nguyen, S Maeda, K Oono arXiv preprint arXiv:1711.10168, 2017 | 19 | 2017 |
| Stroke order normalization for improving recognition of online handwritten mathematical expressions AD Le, HD Nguyen, B Indurkhya, M Nakagawa International Journal on Document Analysis and Recognition (IJDAR) 22, 29-39, 2019 | 12 | 2019 |
| Modified xy cut for re-ordering strokes of online handwritten mathematical expressions AD Le, H Dai Nguyen, M Nakagawa 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 233-238, 2016 | 10 | 2016 |
| Combination of LSTM and CNN for recognizing mathematical symbols H Dai, ANH Le Duc, M Nakagawa Proceedings of the 17th information-based induction sciences workshop, 2014 | 10 | 2014 |
| Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels DH Nguyen, CH Nguyen, H Mamitsuka Machine Learning 110 (7), 1585-1607, 2021 | 9 | 2021 |
| On a linear fused Gromov-Wasserstein distance for graph structured data DH Nguyen, K Tsuda Pattern Recognition 138, 109351, 2023 | 8 | 2023 |
| Generating reaction trees with cascaded variational autoencoders DH Nguyen, K Tsuda The Journal of Chemical Physics 156 (4), 2022 | 6 | 2022 |
| Multi-column CNNs for skeleton based human gesture recognition DH Nguyen, TN Ly, TH Truong, DD Nguyen 2017 9th International Conference on Knowledge and Systems Engineering (KSE …, 2017 | 4 | 2017 |
| A particle-based algorithm for distributional optimization on\textit {Constrained Domains} via variational transport and mirror descent DH Nguyen, T Sakurai arXiv preprint arXiv:2208.00587, 2022 | 1 | 2022 |
| A generative model for molecule generation based on chemical reaction trees H Dai Nguyen, K Tsuda arXiv e-prints, arXiv: 2106.03394, 2021 | 1 | 2021 |
| Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference DH Nguyen, T Sakurai, H Mamitsuka arXiv preprint arXiv:2310.16705, 2023 | | 2023 |
| Differentiable optimization layers enhance GNN-based mitosis detection H Zhang, DH Nguyen, K Tsuda Scientific Reports 13 (1), 14306, 2023 | | 2023 |
| Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains DH Nguyen, T Sakurai Machine Learning 112 (8), 2845-2869, 2023 | | 2023 |
| Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems DH Nguyen, T Sakurai arXiv preprint arXiv:2307.16358, 2023 | | 2023 |
| Machine Learning for Metabolic Identification DH Nguyen, CH Nguyen, H Mamitsuka Creative Complex Systems, 329-350, 2021 | | 2021 |
