Spremljaj
M.W. Mak
Naslov
Navedeno
Navedeno
Leto
Biometric authentication: a machine learning approach
SY Kung, MW Mak, SH Lin, MW Mak, S Lin
Prentice Hall Professional Technical Reference, 2005
2612005
Towards end-to-end ECG classification with raw signal extraction and deep neural networks
SS Xu, MW Mak, CC Cheung
IEEE journal of biomedical and health informatics 23 (4), 1574-1584, 2018
1922018
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines
S Wan, MW Mak, SY Kung
BMC bioinformatics 13, 1-16, 2012
1532012
GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition
S Wan, MW Mak, SY Kung
Journal of theoretical biology 323, 40-48, 2013
1452013
A study of voice activity detection techniques for NIST speaker recognition evaluations
MW Mak, HB Yu
Computer Speech & Language 28 (1), 295-313, 2014
1362014
Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification
MW Mak, SY Kung
IEEE Transactions on Neural Networks 11 (4), 961-969, 2000
1232000
PairProSVM: protein subcellular localization based on local pairwise profile alignment and SVM
MW Mak, J Guo, SY Kung
IEEE/ACM Transactions on Computational Biology and Bioinformatics 5 (3), 416-422, 2008
842008
HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins
S Wan, MW Mak, SY Kung
PloS one 9 (3), e89545, 2014
742014
Exploring the effects of Lamarckian and Baldwinian learning in evolving recurrent neural networks
KWC Ku, MW Mak
Proceedings of 1997 IEEE International Conference on Evolutionary …, 1997
721997
Mixture of PLDA for noise robust i-vector speaker verification
MW Mak, X Pang, JT Chien
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (1), 130-142, 2015
702015
Boosting the performance of i-vector based speaker verification via utterance partitioning
W Rao, MW Mak
IEEE Transactions on Audio, Speech, and Language Processing 21 (5), 1012-1022, 2013
632013
mPLR-Loc: An adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction
S Wan, MW Mak, SY Kung
Analytical biochemistry 473, 14-27, 2015
622015
A study of the Lamarckian evolution of recurrent neural networks
KWC Ku, MW Mak, WC Siu
IEEE Transactions on Evolutionary Computation 4 (1), 31-42, 2000
622000
On the improvement of the real time recurrent learning algorithm for recurrent neural networks
MW Mak, KW Ku, YL Lu
Neurocomputing 24 (1-3), 13-36, 1999
581999
Adding learning to cellular genetic algorithms for training recurrent neural networks
KWC Ku, MW Mak, WC Siu
IEEE Transactions on Neural Networks 10 (2), 239-252, 1999
531999
Utterance partitioning with acoustic vector resampling for GMM–SVM speaker verification
MW Mak, W Rao
Speech Communication 53 (1), 119-130, 2011
522011
Speaker identification using multilayer perceptrons and radial basis function networks
MW Mak, WG Allen, GG Sexton
Neurocomputing 6 (1), 99-117, 1994
521994
A comparison of various adaptation methods for speaker verification with limited enrollment data
MW Mak, R Hsiao, B Mak
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
472006
Machine learning for protein subcellular localization prediction
S Wan, MW Mak
Machine Learning for Protein Subcellular Localization Prediction, 2015
452015
R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization
S Wan, MW Mak, SY Kung
Journal of theoretical biology 360, 34-45, 2014
452014
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