World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4461
World Ranking
13163
National Ranking
1606

Best Publications

  • Biometric Authentication: A Machine Learning Approach

    S. Y. Kung;M. W. Mak;S. H. Lin

  • Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks

    Sean Shensheng Xu;Man-Wai Mak;Chi-Chung Cheung

  • mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines.

    Shibiao Wan;Man Wai Mak;Sun Yuan Kung

  • GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition.

    Shibiao Wan;Man Wai Mak;Sun Yuan Kung

  • A study of voice activity detection techniques for NIST speaker recognition evaluations

    Man-Wai Mak;Hon-Bill Yu

  • Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification

    Man-Wai Mak;Sun-Yuan Kung

  • Improving Speech Emotion Recognition With Adversarial Data Augmentation Network.

    Lu Yi;Man-Wai Mak

  • PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM

    Man-Wai Mak;Jian Guo;Sun-Yuan Kung

  • HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins.

    Shibiao Wan;Man-Wai Mak;Sun-Yuan Kung

  • Exploring the effects of Lamarckian and Baldwinian learning in evolving recurrent neural networks

    K.W.C. Ku;M.W. Mak

  • Boosting the Performance of I-Vector Based Speaker Verification via Utterance Partitioning

    Wei Rao;Man-Wai Mak

  • Mixture of PLDA for noise robust i-vector speaker verification

    Man-Wai Mak;Xiaomin Pang;Jen-Tzung Chien

  • mPLR-Loc: an adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction.

    Shibiao Wan;Man Wai Mak;Sun Yuan Kung

  • On the improvement of the real time recurrent learning algorithm for recurrent neural networks

    Man-Wai Mak;Kim-Wing Ku;Yee-Ling Lu

  • A study of the Lamarckian evolution of recurrent neural networks

    K.W.C. Ku;Man Wai Mak;Wan-Chi Siu

  • Adding learning to cellular genetic algorithms for training recurrent neural networks

    K.W.C. Ku;Man Wai Mak;Wan Chi Siu

  • Machine Learning for Speaker Recognition

    Man Wai Mak;Jen-Tzung Chien

  • Environment adaptation for robust speaker verification by cascading maximum likelihood linear regression and reinforced learning

    K. K. Yiu;M. W. Mak;S. Y. Kung

  • Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders

    Wei-wei Lin;Man-Wai Mak;Jen-Tzung Chien

  • Variational domain adversarial learning for speaker verification

    Youzhi Tu;Man Wai Mak;Jen Tzung Chien

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