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Canh Hao Nguyen
Canh Hao Nguyen
Bioinformatics Center, ICR, Kyoto University
Verified email at kuicr.kyoto-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
832019
An efficient kernel matrix evaluation measure
CH Nguyen, TB Ho
Pattern Recognition 41 (11), 3366-3372, 2008
722008
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
582016
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
502008
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
492021
Kernel Matrix Evaluation.
CH Nguyen, TB Ho
IJCAI, 987-992, 2007
402007
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
392018
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
332021
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
272012
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
252019
An imbalanced data rule learner
CH Nguyen, TB Ho
Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005
222005
New resistance distances with global information on large graphs
CH Nguyen, H Mamitsuka
Artificial intelligence and statistics, 639-647, 2016
212016
Discriminative graph embedding for label propagation
CH Nguyen, H Mamitsuka
IEEE transactions on neural networks 22 (9), 1395-1405, 2011
172011
Exploiting temporal relations in mining hepatitis data
TB Ho, CH Nguyen, S Kawasaki, SQ Le, K Takabayashi
New Generation Computing 25, 247-262, 2007
162007
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
152014
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
132016
Learning on hypergraphs with sparsity
CH Nguyen, H Mamitsuka
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (8), 2710-2722, 2020
102020
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels
DH Nguyen, CH Nguyen, H Mamitsuka
Machine Learning 110 (7), 1585-1607, 2021
92021
A new dissimilarity measure for comparing labeled graphs
N Wicker, CH Nguyen, H Mamitsuka
Linear Algebra and its Applications 438 (5), 2331-2338, 2013
92013
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
82021
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