Canh Hao Nguyen

Orcid: 0000-0002-0274-5693

According to our database1, Canh Hao Nguyen authored at least 31 papers between 2005 and 2023.

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Bibliography

2023
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?
CoRR, 2022

2021
Learning on Hypergraphs With Sparsity.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels.
Mach. Learn., 2021

Boosting prior knowledge in streaming variational Bayes.
Neurocomputing, 2021

CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.
CoRR, 2021

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels.
CoRR, 2021

On Convex Clustering Solutions.
CoRR, 2021

A survey on adverse drug reaction studies: data, tasks and machine learning methods.
Briefings Bioinform., 2021

XGSEA: CROSS-species gene set enrichment analysis via domain adaptation.
Briefings Bioinform., 2021

2019
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra.
Bioinform., 2019

Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.
Briefings Bioinform., 2019

Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fast and Robust Multi-View Multi-Task Learning via Group Sparsity.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra.
Bioinform., 2018

2016
NMRPro: an integrated web component for interactive processing and visualization of NMR spectra.
Bioinform., 2016

Current status and prospects of computational resources for natural product dereplication: a review.
Briefings Bioinform., 2016

New Resistance Distances with Global Information on Large Graphs.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014
Selecting Graph Cut Solutions via Global Graph Similarity.
IEEE Trans. Neural Networks Learn. Syst., 2014

NetPathMiner: R/Bioconductor package for network path mining through gene expression.
Bioinform., 2014

2012
Latent Feature Kernels for Link Prediction on Sparse Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2012

2011
Discriminative Graph Embedding for Label Propagation.
IEEE Trans. Neural Networks, 2011

Kernels for Link Prediction with Latent Feature Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2008
Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

An efficient kernel matrix evaluation measure.
Pattern Recognit., 2008

Simple but effective methods for combining kernels in computational biology.
Proceedings of the 2008 IEEE International Conference on Research, 2008

2007
Exploiting Temporal Relations in Mining Hepatitis Data.
New Gener. Comput., 2007

Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining.
IEICE Trans. Inf. Syst., 2007

Temporal Relations Extraction in Mining Hepatitis Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Kernel Matrix Evaluation.
Proceedings of the IJCAI 2007, 2007

2005
An Imbalanced Data Rule Learner.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005


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