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Man-Wai Mak

Showing results (1-10 of 26) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|October 9, 2020
Improving Speech Emotion Recognition With Adversarial Data Augmentation NetworkLu Yi, Man-Wai Mak
IEEE Journal of Biomedical and Health Informatics|May 2, 2025
Vector Quantization-based Counterfactual Augmentation for Speech-based Depression Detection under Data ScarcityLishi Zuo, Man-Wai Mak
IEEE Transactions on Neural Networks|November 25, 2010
Optimized discriminative kernel for SVM scoring and its application to speaker verificationShi-Xiong Zhang, Man-Wai Mak
Journal of Bioinformatics and Computational Biology|July 5, 2006
Symmetric and asymmetric multi-modality biclustering analysis for microarray data matrixSun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos
Journal of Theoretical Biology|February 5, 2013
GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid compositionShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
Bioinformatics (Oxford, England)|December 25, 2016
FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organismsShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
BMC Bioinformatics|November 8, 2012
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machinesShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
Proceedings. IEEE Computational Systems Bioinformatics Conference|February 2, 2006
Multi-metric and multi-substructure biclustering analysis for gene expression dataS Y Kung, Man-Wai Mak, Ilias Tagkopoulos
Journal of Theoretical Biology|July 6, 2014
R3P-Loc: a compact multi-label predictor using ridge regression and random projection for protein subcellular localizationShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 4, 2015
Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic NetsShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks and Learning Systems|October 9, 2020
Improving Speech Emotion Recognition With Adversarial Data Augmentation NetworkLu Yi, Man-Wai Mak
IEEE Journal of Biomedical and Health Informatics|May 2, 2025
Vector Quantization-based Counterfactual Augmentation for Speech-based Depression Detection under Data ScarcityLishi Zuo, Man-Wai Mak
IEEE Transactions on Neural Networks|November 25, 2010
Optimized discriminative kernel for SVM scoring and its application to speaker verificationShi-Xiong Zhang, Man-Wai Mak
Journal of Bioinformatics and Computational Biology|July 5, 2006
Symmetric and asymmetric multi-modality biclustering analysis for microarray data matrixSun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos
Journal of Theoretical Biology|February 5, 2013
GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid compositionShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
Bioinformatics (Oxford, England)|December 25, 2016
FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organismsShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
BMC Bioinformatics|November 8, 2012
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machinesShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
Proceedings. IEEE Computational Systems Bioinformatics Conference|February 2, 2006
Multi-metric and multi-substructure biclustering analysis for gene expression dataS Y Kung, Man-Wai Mak, Ilias Tagkopoulos
Journal of Theoretical Biology|July 6, 2014
R3P-Loc: a compact multi-label predictor using ridge regression and random projection for protein subcellular localizationShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 4, 2015
Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic NetsShibiao Wan, Man-Wai Mak, Sun-Yuan Kung
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