| Biometric authentication: a machine learning approach SY Kung, MW Mak, SH Lin, MW Mak, S Lin Prentice Hall Professional Technical Reference, 2005 | 268 | 2005 |
| 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 | 254 | 2018 |
| 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 | 169 | 2012 |
| 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 | 153 | 2013 |
| A study of voice activity detection techniques for NIST speaker recognition evaluations MW Mak, HB Yu Computer Speech & Language 28 (1), 295-313, 2014 | 143 | 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 | 122 | 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 | 87 | 2008 |
| Improving speech emotion recognition with adversarial data augmentation network L Yi, MW Mak IEEE transactions on neural networks and learning systems 33 (1), 172-184, 2020 | 86 | 2020 |
| 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 | 79 | 2014 |
| Speaker identification using multilayer perceptrons and radial basis function networks MW Mak, WG Allen, GG Sexton Neurocomputing 6 (1), 99-117, 1994 | 77* | 1994 |
| 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 |
| 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 | 70 | 2015 |
| 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 | 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 | 63 | 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 | 63 | 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 | 61 | 1999 |
| Multisource i-vectors domain adaptation using maximum mean discrepancy based autoencoders W Lin, MW Mak, JT Chien IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (12 …, 2018 | 55 | 2018 |
| 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 | 55 | 1999 |
| Variational domain adversarial learning for speaker verification. Y Tu, MW Mak, JT Chien Interspeech, 4315-4319, 2019 | 52 | 2019 |
| Machine learning for protein subcellular localization prediction S Wan, MW Mak Walter de Gruyter GmbH & Co KG, 2015 | 52 | 2015 |
Sun-Yuan KungProfessor of Electrical Engineering, Princeton University在 princeton.edu 的电子邮件经过验证
