Canh Hao Nguyen

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

CoRR, 2022

2021

Learning on Hypergraphs With Sparsity.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Boosting prior knowledge in streaming variational Bayes.

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

Duc Anh Nguyen

CoRR, 2021

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels.

[BibT_eX]

[DOI]

CoRR, 2021

On Convex Clustering Solutions.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Duc Anh Nguyen

Briefings Bioinform., 2021

XGSEA: CROSS-species gene set enrichment analysis via domain adaptation.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

2019

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

[BibT_eX]

[DOI]

Bioinform., 2019

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

[BibT_eX]

[DOI]

Briefings Bioinform., 2019

Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning.

[BibT_eX]

[DOI]

Lu Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fast and Robust Multi-View Multi-Task Learning via Group Sparsity.

[BibT_eX]

[DOI]

Lu Sun

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.

[BibT_eX]

[DOI]

Bioinform., 2018

2016

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

[BibT_eX]

[DOI]

Ahmed Mohamed

Bioinform., 2016

Current status and prospects of computational resources for natural product dereplication: a review.

[BibT_eX]

[DOI]

Ahmed Mohamed

Briefings Bioinform., 2016

New Resistance Distances with Global Information on Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014

Selecting Graph Cut Solutions via Global Graph Similarity.

[BibT_eX]

[DOI]

Nicolas Wicker

IEEE Trans. Neural Networks Learn. Syst., 2014

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

[BibT_eX]

[DOI]

Bioinform., 2014

2012

Latent Feature Kernels for Link Prediction on Sparse Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

2011

Discriminative Graph Embedding for Label Propagation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Kernels for Link Prediction with Latent Feature Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vladik Kreinovich

Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

An efficient kernel matrix evaluation measure.

[BibT_eX]

[DOI]

Pattern Recognit., 2008

Simple but effective methods for combining kernels in computational biology.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Research, 2008

2007

Exploiting Temporal Relations in Mining Hepatitis Data.

[BibT_eX]

[DOI]

Katsuhiko Takabayashi

New Gener. Comput., 2007

Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining.

[BibT_eX]

[DOI]

Saori Kawasaki

Katsuhiko Takabayashi

IEICE Trans. Inf. Syst., 2007

Temporal Relations Extraction in Mining Hepatitis Data.

[BibT_eX]

[DOI]

Saori Kawasaki

Katsuhiko Takabayashi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Kernel Matrix Evaluation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

2005

An Imbalanced Data Rule Learner.

[BibT_eX]

[DOI]