Canh Hao Nguyen

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 21

Top Topics

Machine Learning

Recent Advances

Tandem Mass Spectra

Clustering Solutions

Top Venues

Briefings Bioinform.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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) (2024)
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) (2024)
Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. ECAI (2023)
Canh Hao Nguyen
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer? CoRR (2022)
Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than
Boosting prior knowledge in streaming variational Bayes. Neurocomputing 424 (2021)
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels. Mach. Learn. 110 (7) (2021)
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) (2021)
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. CoRR (2021)
Canh Hao Nguyen, Hiroshi Mamitsuka
Learning on Hypergraphs With Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. 43 (8) (2021)
Menglan Cai, Canh Hao Nguyen, Hiroshi Mamitsuka, Limin Li
XGSEA: CROSS-species gene set enrichment analysis via domain adaptation. Briefings Bioinform. 22 (5) (2021)
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels. CoRR (2021)
Canh Hao Nguyen, Hiroshi Mamitsuka
On Convex Clustering Solutions. CoRR (2021)
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) (2019)
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. IJCAI (2019)
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) (2019)
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. IJCAI (2019)
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) (2018)
Canh Hao Nguyen, Hiroshi Mamitsuka
Learning on Hypergraphs with Sparsity. CoRR (2018)
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
NMRPro: an integrated web component for interactive processing and visualization of NMR spectra. Bioinform. 32 (13) (2016)
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
Current status and prospects of computational resources for natural product dereplication: a review. Briefings Bioinform. 17 (2) (2016)
Canh Hao Nguyen, Hiroshi Mamitsuka
New Resistance Distances with Global Information on Large Graphs. AISTATS (2016)
Ahmed Mohamed, Timothy Hancock, Canh Hao Nguyen, Hiroshi Mamitsuka
NetPathMiner: R/Bioconductor package for network path mining through gene expression. Bioinform. 30 (21) (2014)
Canh Hao Nguyen, Nicolas Wicker, Hiroshi Mamitsuka
Selecting Graph Cut Solutions via Global Graph Similarity. IEEE Trans. Neural Networks Learn. Syst. 25 (7) (2014)
Canh Hao Nguyen, Hiroshi Mamitsuka
Latent Feature Kernels for Link Prediction on Sparse Graphs. IEEE Trans. Neural Networks Learn. Syst. 23 (11) (2012)
Canh Hao Nguyen, Hiroshi Mamitsuka
Kernels for Link Prediction with Latent Feature Models. ECML/PKDD (2) (2011)
Canh Hao Nguyen, Hiroshi Mamitsuka
Discriminative Graph Embedding for Label Propagation. IEEE Trans. Neural Networks 22 (9) (2011)
Canh Hao Nguyen, Tu Bao Ho
An efficient kernel matrix evaluation measure. Pattern Recognit. 41 (11) (2008)
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki
Simple but effective methods for combining kernels in computational biology. RIVF (2008)
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) (2007)
Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi
Temporal Relations Extraction in Mining Hepatitis Data. PAKDD (2007)
Canh Hao Nguyen, Tu Bao Ho
Kernel Matrix Evaluation. IJCAI (2007)
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. (10) (2007)
Canh Hao Nguyen, Tu Bao Ho
An Imbalanced Data Rule Learner. PKDD (2005)