Canh Hao Nguyen

39 papers A* 4A 2B 1Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
On Convex Clustering: Convexity, Bounding Balls and Characteristics.
Mach. Learn.
Canh Hao Nguyen, Hiroshi Mamitsuka
2025 J jnl
Beyond rigid docking: deep learning approaches for fully flexible protein-ligand interactions.
Briefings Bioinform.
John Lee, Canh Hao Nguyen, Hiroshi Mamitsuka
2024 J jnl
AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance.
BMC Bioinform.
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
2024 J jnl
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.
IEEE Trans. Neural Networks Learn. Syst.
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2024 A* conf
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression.
IJCAI
Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2023 A conf
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning.
ECAI
Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2022 J jnl
SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions.
Bioinform.
Duc Anh Nguyen, Canh Hao Nguyen, Peter Petschner, Hiroshi Mamitsuka
2022 J jnl
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?
CoRR
Canh Hao Nguyen
2021 J jnl
A survey on adverse drug reaction studies: data, tasks and machine learning methods.
Briefings Bioinform.
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2021 J jnl
Boosting prior knowledge in streaming variational Bayes.
Neurocomputing
Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than
2021 J jnl
CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.
CoRR
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2021 J jnl
Learning on Hypergraphs With Sparsity.
IEEE Trans. Pattern Anal. Mach. Intell.
Canh Hao Nguyen, Hiroshi Mamitsuka
2021 J jnl
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels.
Mach. Learn.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2021 J jnl
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels.
CoRR
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2021 J jnl
On Convex Clustering Solutions.
CoRR
Canh Hao Nguyen, Hiroshi Mamitsuka
2021 J jnl
XGSEA: CROSS-species gene set enrichment analysis via domain adaptation.
Briefings Bioinform.
Menglan Cai, Canh Hao Nguyen, Hiroshi Mamitsuka, Limin Li
2019 J jnl
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra.
Bioinform.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2019 A* conf
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity.
IJCAI
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2019 — ed.
Integrated Uncertainty in Knowledge Modelling and Decision Making - 7th International Symposium, IUKM 2019, Nara, Japan, March 27-29, 2019, Proceedings
IUKM
Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi
2019 A* conf
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning.
IJCAI
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
2019 J jnl
Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.
Briefings Bioinform.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2018 J jnl
Learning on Hypergraphs with Sparsity.
CoRR
Canh Hao Nguyen, Hiroshi Mamitsuka
2018 J jnl
SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra.
Bioinform.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2016 J jnl
Current status and prospects of computational resources for natural product dereplication: a review.
Briefings Bioinform.
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
2016 J jnl
NMRPro: an integrated web component for interactive processing and visualization of NMR spectra.
Bioinform.
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
2016 A conf
New Resistance Distances with Global Information on Large Graphs.
AISTATS
Canh Hao Nguyen, Hiroshi Mamitsuka
2014 J jnl
NetPathMiner: R/Bioconductor package for network path mining through gene expression.
Bioinform.
Ahmed Mohamed, Timothy Hancock, Canh Hao Nguyen, Hiroshi Mamitsuka
2014 J jnl
Selecting Graph Cut Solutions via Global Graph Similarity.
IEEE Trans. Neural Networks Learn. Syst.
Canh Hao Nguyen, Nicolas Wicker, Hiroshi Mamitsuka
2012 J jnl
Latent Feature Kernels for Link Prediction on Sparse Graphs.
IEEE Trans. Neural Networks Learn. Syst.
Canh Hao Nguyen, Hiroshi Mamitsuka
2011 J jnl
Discriminative Graph Embedding for Label Propagation.
IEEE Trans. Neural Networks
Canh Hao Nguyen, Hiroshi Mamitsuka
2011 — conf
Kernels for Link Prediction with Latent Feature Models.
ECML/PKDD (2)
Canh Hao Nguyen, Hiroshi Mamitsuka
2008 J jnl
An efficient kernel matrix evaluation measure.
Pattern Recognit.
Canh Hao Nguyen, Tu Bao Ho
2008 — ch.
Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity.
Interval / Probabilistic Uncertainty and Non-Classical Logics
Canh Hao Nguyen, Tu Bao Ho, Vladik Kreinovich
2008 — conf
Simple but effective methods for combining kernels in computational biology.
RIVF
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki
2007 J jnl
Exploiting Temporal Relations in Mining Hepatitis Data.
New Gener. Comput.
Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Si Quang Le, Katsuhiko Takabayashi
2007 J jnl
Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining.
IEICE Trans. Inf. Syst.
Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, Canh Hao Nguyen
2007 A* conf
Kernel Matrix Evaluation.
IJCAI
Canh Hao Nguyen, Tu Bao Ho
2007 B conf
Temporal Relations Extraction in Mining Hepatitis Data.
PAKDD
Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Katsuhiko Takabayashi
2005 — conf
An Imbalanced Data Rule Learner.
PKDD
Canh Hao Nguyen, Tu Bao Ho