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IEEE Transactions on Neural Networks
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July 27, 2011
Discriminative graph embedding for label propagation
Canh Hao Nguyen, Hiroshi Mamitsuka
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 23, 2020
Learning on Hypergraphs With Sparsity
Canh Hao Nguyen, Hiroshi Mamitsuka
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
Latent feature kernels for link prediction on sparse graphs
Canh Hao Nguyen, Hiroshi Mamitsuka
Briefings in Bioinformatics
|
July 9, 2015
Current status and prospects of computational resources for natural product dereplication: a review
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
Bioinformatics (Oxford, England)
|
May 7, 2016
NMRPro: an integrated web component for interactive processing and visualization of NMR spectra
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
Briefings in Bioinformatics
|
September 3, 2025
Beyond rigid docking: deep learning approaches for fully flexible protein-ligand interactions
John Lee, Canh Hao Nguyen, Hiroshi Mamitsuka
Bioinformatics (Oxford, England)
|
September 13, 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
Bioinformatics (Oxford, England)
|
June 29, 2018
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
IEEE Transactions on Neural Networks and Learning Systems
|
April 5, 2023
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Briefings in Bioinformatics
|
December 16, 2019
A survey on adverse drug reaction studies: data, tasks and machine learning methods
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
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of 3
Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
IEEE Transactions on Neural Networks
|
July 27, 2011
Discriminative graph embedding for label propagation
Canh Hao Nguyen, Hiroshi Mamitsuka
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 23, 2020
Learning on Hypergraphs With Sparsity
Canh Hao Nguyen, Hiroshi Mamitsuka
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
Latent feature kernels for link prediction on sparse graphs
Canh Hao Nguyen, Hiroshi Mamitsuka
Briefings in Bioinformatics
|
July 9, 2015
Current status and prospects of computational resources for natural product dereplication: a review
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
Bioinformatics (Oxford, England)
|
May 7, 2016
NMRPro: an integrated web component for interactive processing and visualization of NMR spectra
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
Briefings in Bioinformatics
|
September 3, 2025
Beyond rigid docking: deep learning approaches for fully flexible protein-ligand interactions
John Lee, Canh Hao Nguyen, Hiroshi Mamitsuka
Bioinformatics (Oxford, England)
|
September 13, 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
Bioinformatics (Oxford, England)
|
June 29, 2018
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
IEEE Transactions on Neural Networks and Learning Systems
|
April 5, 2023
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Briefings in Bioinformatics
|
December 16, 2019
A survey on adverse drug reaction studies: data, tasks and machine learning methods
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Page
of 3