| Biometric authentication: a machine learning approach SY Kung, MW Mak, SH Lin, MW Mak, S Lin Prentice Hall Professional Technical Reference, 2005 | 254 | 2005 |
| 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 | 143 | 2013 |
| mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines S Wan, MW Mak, SY Kung BMC bioinformatics 13 (1), 1-16, 2012 | 136 | 2012 |
| 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 | 131 | 2018 |
| A study of voice activity detection techniques for NIST speaker recognition evaluations MW Mak, HB Yu Computer Speech & Language 28 (1), 295-313, 2014 | 129 | 2014 |
| 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 | 120 | 2000 |
| 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 | 83 | 2008 |
| 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 | 73 | 1997 |
| 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 | 72 | 2014 |
| 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 | 67 | 2015 |
| 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 | 60 | 2013 |
| 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 | 59 | 2000 |
| 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 | 58 | 1999 |
| 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 | 56 | 2015 |
| 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 | 52 | 1999 |
| Utterance partitioning with acoustic vector resampling for GMM–SVM speaker verification MW Mak, W Rao Speech Communication 53 (1), 119-130, 2011 | 50 | 2011 |
| Speaker identification using multilayer perceptrons and radial basis function networks MW Mak, WG Allen, GG Sexton Neurocomputing 6 (1), 99-117, 1994 | 49 | 1994 |
| 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 | 44 | 2014 |
| 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 | 44 | 2006 |
| Empirical analysis of the factors that affect the Baldwin effect KWC Ku, MW Mak International Conference on Parallel Problem Solving from Nature, 481-490, 1998 | 43 | 1998 |
