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ORCIDCanh Hao Nguyen
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2020 – today
- 2024
[j19]Duc Quang Le, Son Hoang Nguyen
, Tam Thi Nguyen, Canh Hao Nguyen, Tho Huu Ho, Nam S. Vo, Trang Nguyen, Hoang Anh Nguyen, Minh Duc Cao:
AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance. BMC Bioinform. 25(1): 193 (2024)- [j18]Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11620-11625 (2024) - [c10]Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression. IJCAI 2024: 3780-3788 - 2023
- [c9]Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. ECAI 2023: 2560-2567 - 2022
- [i5]Canh Hao Nguyen:
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer? CoRR abs/2202.13608 (2022) - 2021
- [j17]Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
A survey on adverse drug reaction studies: data, tasks and machine learning methods. Briefings Bioinform. 22(1): 164-177 (2021) - [j16]Menglan Cai, Canh Hao Nguyen, Hiroshi Mamitsuka, Limin Li:
XGSEA: CROSS-species gene set enrichment analysis via domain adaptation. Briefings Bioinform. 22(5) (2021) - [j15]Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than:
Boosting prior knowledge in streaming variational Bayes. Neurocomputing 424: 143-159 (2021) - [j14]Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels. Mach. Learn. 110(7): 1585-1607 (2021) - [j13]Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning on Hypergraphs With Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2710-2722 (2021) - [i4]Canh Hao Nguyen, Hiroshi Mamitsuka:
On Convex Clustering Solutions. CoRR abs/2105.08348 (2021) - [i3]Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels. CoRR abs/2106.04739 (2021) - [i2]Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. CoRR abs/2112.07837 (2021)
2010 – 2019
- 2019
- [j12]Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches. Briefings Bioinform. 20(6): 2028-2043 (2019) - [j11]Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra. Bioinform. 35(14): i164-i172 (2019) - [c8]Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. IJCAI 2019: 3499-3505 - [c7]Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. IJCAI 2019: 3506-3512 - [e1]Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 7th International Symposium, IUKM 2019, Nara, Japan, March 27-29, 2019, Proceedings. Lecture Notes in Computer Science 11471, Springer 2019, ISBN 978-3-030-14814-0 [contents] - 2018
- [j10]Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra. Bioinform. 34(13): i323-i332 (2018) - [i1]Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning on Hypergraphs with Sparsity. CoRR abs/1804.00836 (2018) - 2016
- [j9]Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka:
Current status and prospects of computational resources for natural product dereplication: a review. Briefings Bioinform. 17(2): 309-321 (2016) - [j8]Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka:
NMRPro: an integrated web component for interactive processing and visualization of NMR spectra. Bioinform. 32(13): 2067-2068 (2016) - [c6]Canh Hao Nguyen, Hiroshi Mamitsuka:
New Resistance Distances with Global Information on Large Graphs. AISTATS 2016: 639-647 - 2014
- [j7]Ahmed Mohamed, Timothy Hancock, Canh Hao Nguyen, Hiroshi Mamitsuka:
NetPathMiner: R/Bioconductor package for network path mining through gene expression. Bioinform. 30(21): 3139-3141 (2014) - [j6]Canh Hao Nguyen, Nicolas Wicker, Hiroshi Mamitsuka:
Selecting Graph Cut Solutions via Global Graph Similarity. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1407-1412 (2014) - 2012
- [j5]Canh Hao Nguyen, Hiroshi Mamitsuka:
Latent Feature Kernels for Link Prediction on Sparse Graphs. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1793-1804 (2012) - 2011
- [j4]Canh Hao Nguyen, Hiroshi Mamitsuka:
Discriminative Graph Embedding for Label Propagation. IEEE Trans. Neural Networks 22(9): 1395-1405 (2011) - [c5]Canh Hao Nguyen, Hiroshi Mamitsuka:
Kernels for Link Prediction with Latent Feature Models. ECML/PKDD (2) 2011: 517-532
2000 – 2009
- 2008
- [j3]Canh Hao Nguyen, Tu Bao Ho:
An efficient kernel matrix evaluation measure. Pattern Recognit. 41(11): 3366-3372 (2008) - [c4]Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki:
Simple but effective methods for combining kernels in computational biology. RIVF 2008: 71-78 - [p1]Canh Hao Nguyen, Tu Bao Ho, Vladik Kreinovich:
Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 57-69 - 2007
- [j2]Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, Canh Hao Nguyen:
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining. IEICE Trans. Inf. Syst. 90-D(10): 1574-1581 (2007) - [j1]Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Si Quang Le, Katsuhiko Takabayashi:
Exploiting Temporal Relations in Mining Hepatitis Data. New Gener. Comput. 25(3): 247-262 (2007) - [c3]Canh Hao Nguyen, Tu Bao Ho:
Kernel Matrix Evaluation. IJCAI 2007: 987-992 - [c2]Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi:
Temporal Relations Extraction in Mining Hepatitis Data. PAKDD 2007: 523-530 - 2005
- [c1]Canh Hao Nguyen, Tu Bao Ho:
An Imbalanced Data Rule Learner. PKDD 2005: 617-624
Coauthor Index
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