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 | 84 | 2019 |
An efficient kernel matrix evaluation measure CH Nguyen, TB Ho Pattern Recognition 41 (11), 3366-3372, 2008 | 72 | 2008 |
Current status and prospects of computational resources for natural product dereplication: a review A Mohamed, CH Nguyen, H Mamitsuka Briefings in bioinformatics 17 (2), 309-321, 2016 | 58 | 2016 |
Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean H Kaneko, R Blanc-Mathieu, H Endo, S Chaffron, TO Delmont, M Gaia, ... Iscience 24 (1), 2021 | 52 | 2021 |
Simple but effective methods for combining kernels in computational biology H Tanabe, TB Ho, CH Nguyen, S Kawasaki 2008 IEEE International Conference on Research, Innovation and Vision for …, 2008 | 52 | 2008 |
Kernel Matrix Evaluation. CH Nguyen, TB Ho IJCAI, 987-992, 2007 | 40 | 2007 |
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 |
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 | 33 | 2021 |
Latent feature kernels for link prediction on sparse graphs CH Nguyen, H Mamitsuka IEEE transactions on neural networks and learning systems 23 (11), 1793-1804, 2012 | 27 | 2012 |
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 |
An imbalanced data rule learner CH Nguyen, TB Ho Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005 | 22 | 2005 |
New resistance distances with global information on large graphs CH Nguyen, H Mamitsuka Artificial intelligence and statistics, 639-647, 2016 | 21 | 2016 |
Discriminative graph embedding for label propagation CH Nguyen, H Mamitsuka IEEE transactions on neural networks 22 (9), 1395-1405, 2011 | 17 | 2011 |
Exploiting temporal relations in mining hepatitis data TB Ho, CH Nguyen, S Kawasaki, SQ Le, K Takabayashi New Generation Computing 25, 247-262, 2007 | 16 | 2007 |
NetPathMiner: R/Bioconductor package for network path mining through gene expression A Mohamed, T Hancock, CH Nguyen, H Mamitsuka Bioinformatics 30 (21), 3139-3141, 2014 | 15 | 2014 |
NMRPro: an integrated web component for interactive processing and visualization of NMR spectra A Mohamed, CH Nguyen, H Mamitsuka Bioinformatics 32 (13), 2067-2068, 2016 | 13 | 2016 |
Learning on hypergraphs with sparsity CH Nguyen, H Mamitsuka IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (8), 2710-2722, 2020 | 10 | 2020 |
XGSEA: CROSS-species gene set enrichment analysis via domain adaptation M Cai, C Hao Nguyen, H Mamitsuka, L Li Briefings in Bioinformatics 22 (5), bbaa406, 2021 | 9 | 2021 |
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 |
A new dissimilarity measure for comparing labeled graphs N Wicker, CH Nguyen, H Mamitsuka Linear Algebra and its Applications 438 (5), 2331-2338, 2013 | 9 | 2013 |