An Imbalanced Data Rule Learner. - Canh Hao Nguyen; Tu Bao Ho (PKDD, 2005)

Kernel Matrix Evaluation. - Canh Hao Nguyen; Tu Bao Ho (IJCAI, 2007)

Temporal Relations Extraction in Mining Hepatitis Data. - Tu Bao Ho; Canh Hao Nguyen; Saori Kawasaki; Katsuhiko Takabayashi (PAKDD, 2007)

Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining. - Tu Bao Ho; Saori Kawasaki; Katsuhiko Takabayashi; Canh Hao Nguyen (IEICE Trans. Inf. Syst., 2007)

Exploiting Temporal Relations in Mining Hepatitis Data. - Tu Bao Ho; Canh Hao Nguyen; Saori Kawasaki; Si Quang Le; Katsuhiko Takabayashi (New Gener. Comput., 2007)

Simple but effective methods for combining kernels in computational biology. - Hiroaki Tanabe; Tu Bao Ho; Canh Hao Nguyen; Saori Kawasaki (RIVF, 2008)

An efficient kernel matrix evaluation measure. - Canh Hao Nguyen; Tu Bao Ho (Pattern Recognit., 2008)

Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity. - Canh Hao Nguyen; Tu Bao Ho; Vladik Kreinovich (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

Kernels for Link Prediction with Latent Feature Models. - Canh Hao Nguyen; Hiroshi Mamitsuka (ECML/PKDD (2), 2011)

Discriminative Graph Embedding for Label Propagation. - Canh Hao Nguyen; Hiroshi Mamitsuka (IEEE Trans. Neural Networks, 2011)

Latent Feature Kernels for Link Prediction on Sparse Graphs. - Canh Hao Nguyen; Hiroshi Mamitsuka (IEEE Trans. Neural Networks Learn. Syst., 2012)

NetPathMiner: R/Bioconductor package for network path mining through gene expression. - Ahmed Mohamed 002; Timothy Hancock; Canh Hao Nguyen; Hiroshi Mamitsuka (Bioinform., 2014)

Selecting Graph Cut Solutions via Global Graph Similarity. - Canh Hao Nguyen; Nicolas Wicker; Hiroshi Mamitsuka (IEEE Trans. Neural Networks Learn. Syst., 2014)

New Resistance Distances with Global Information on Large Graphs. - Canh Hao Nguyen; Hiroshi Mamitsuka (AISTATS, 2016)

Current status and prospects of computational resources for natural product dereplication: a review. - Ahmed Mohamed 002; Canh Hao Nguyen; Hiroshi Mamitsuka (Briefings Bioinform., 2016)

NMRPro: an integrated web component for interactive processing and visualization of NMR spectra. - Ahmed Mohamed 002; Canh Hao Nguyen; Hiroshi Mamitsuka (Bioinform., 2016)

SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra. - Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (Bioinform., 2018)

Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. - Lu Sun 001; Canh Hao Nguyen; Hiroshi Mamitsuka (IJCAI, 2019)

Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. - Lu Sun 001; Canh Hao Nguyen; Hiroshi Mamitsuka (IJCAI, 2019)

Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches. - Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (Briefings Bioinform., 2019)

ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra. - Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (Bioinform., 2019)

XGSEA: CROSS-species gene set enrichment analysis via domain adaptation. - Menglan Cai; Canh Hao Nguyen; Hiroshi Mamitsuka; Limin Li (Briefings Bioinform., 2021)

A survey on adverse drug reaction studies: data, tasks and machine learning methods. - Duc Anh Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (Briefings Bioinform., 2021)

On Convex Clustering Solutions. - Canh Hao Nguyen; Hiroshi Mamitsuka (CoRR, 2021)

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels. - Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (CoRR, 2021)

CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. - Duc Anh Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (CoRR, 2021)

Boosting prior knowledge in streaming variational Bayes. - Duc Anh Nguyen; Ngo Van Linh 001; Nguyen Kim Anh; Canh Hao Nguyen; Khoat Than (Neurocomputing, 2021)

Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels. - Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (Mach. Learn., 2021)

Learning on Hypergraphs With Sparsity. - Canh Hao Nguyen; Hiroshi Mamitsuka (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions. - Duc Anh Nguyen; Canh Hao Nguyen; Peter Petschner; Hiroshi Mamitsuka (Bioinform., 2022)

Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer? - Canh Hao Nguyen (CoRR, 2022)

Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. - Xinyi Wang; Lu Sun 001; Canh Hao Nguyen; Hiroshi Mamitsuka (ECAI, 2023)

Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression. - Tianxiao Cao; Lu Sun 001; Canh Hao Nguyen; Hiroshi Mamitsuka (IJCAI, 2024)

Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. - Duc Anh Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka (IEEE Trans. Neural Networks Learn. Syst., 2024)

AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance. - 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 (BMC Bioinform., 2024)