Bilal Mirza
Bilal Mirza
UCLA, Nanyang Technological University
Verified email at mednet.ucla.edu - Homepage
TitleCited byYear
Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift
B Mirza, Z Lin, N Liu
Neurocomputing 149, 316-329, 2015
1072015
Weighted online sequential extreme learning machine for class imbalance learning
B Mirza, Z Lin, KA Toh
Neural processing letters 38 (3), 465-486, 2013
832013
Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification
B Mirza, Z Lin
Neural Networks 80, 79-94, 2016
432016
Kernel based online learning for imbalance multiclass classification
S Ding, B Mirza, Z Lin, J Cao, X Lai, TV Nguyen, J Sepulveda
Neurocomputing 277, 139-148, 2018
272018
Risk scoring for prediction of acute cardiac complications from imbalanced clinical data
N Liu, ZX Koh, ECP Chua, LML Tan, Z Lin, B Mirza, MEH Ong
IEEE journal of biomedical and health informatics 18 (6), 1894-1902, 2014
242014
Voting based weighted online sequential extreme learning machine for imbalance multi-class classification
B Mirza, Z Lin, J Cao, X Lai
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 565-568, 2015
212015
Dual-layer kernel extreme learning machine for action recognition
TV Nguyen, B Mirza
Neurocomputing 260, 123-130, 2017
172017
Machine learning and integrative analysis of biomedical big data
B Mirza, W Wang, J Wang, H Choi, NC Chung, P Ping
Genes 10 (2), 87, 2019
142019
Multi-layer online sequential extreme learning machine for image classification
B Mirza, S Kok, F Dong
Proceedings of ELM-2015 Volume 1, 39-49, 2016
132016
Integrated dissection of cysteine oxidative post-translational modification proteome during cardiac hypertrophy
J Wang, H Choi, NC Chung, Q Cao, DCM Ng, B Mirza, SB Scruggs, ...
Journal of proteome research 17 (12), 4243-4257, 2018
72018
One-vs-all for class imbalance learning
B Mirza, Z Lin
2013 9th International Conference on Information, Communications & Signal …, 2013
72013
Efficient representation learning for high-dimensional imbalance data
B Mirza, S Kok, Z Lin, YK Yeo, X Lai, J Cao, J Sepulveda
2016 IEEE International Conference on Digital Signal Processing (DSP), 511-515, 2016
62016
Unsupervised classification of multi-omics data during cardiac remodeling using deep learning
NC Chung, B Mirza, H Choi, J Wang, D Wang, P Ping, W Wang
Methods 166, 66-73, 2019
52019
MARIM: Mobile Augmented Reality for Interactive Manuals
TV Nguyen, D Tan, B Mirza, J Sepulveda
Proceedings of the 24th ACM international conference on Multimedia, 689-690, 2016
32016
Landmark recognition via sparse representation
J Cao, Y Zhao, X Lai, T Chen, N Liu, B Mirza, Z Lin
2015 IEEE International Conference on Digital Signal Processing (DSP), 1030-1034, 2015
32015
ASMIM: Augmented Reality Authoring System for Mobile Interactive Manuals
TV Nguyen, B Mirza, D Tan, J Sepulveda
Proceedings of the 12th International Conference on Ubiquitous Information …, 2018
22018
Oxidative Stress Post-Translational Modification Landscape in Cardiac Hypertrophy Revealed by Machine Learning Approaches
J Wang, J Lee, B Mirza, NC Chuang, H Choi, D Ng, D Wang, J Caufield, ...
Circulation 138 (Suppl_1), A10784-A10784, 2018
2018
Characterizing the Oxidative Stress-Sensitive Post-Translational Modification Landscape of BCAA Catabolic Pathway in Cardiac Hypertrophy
D Wang, B Mirza, H Choi, J Lee, D Ng, JR Yates, P Ping, Y Wang
Circulation 138 (Suppl_1), A10906-A10906, 2018
2018
Antioxidant Enzymes Exhibit Resistance Against Oxidative Stress Regulation
J Lee, B Mirza, J Wang, H Choi, DCM Ng, RN Soorappan, P Ping, ...
Journal of Molecular and Cellular Cardiology 124, 103, 2018
2018
Analytical Workflow Reveals Unique Cluster Behavior of Cardiac Protein Degradation Machineries Under Stress Conditions
JS Polson, B Mirza, D Wang, J Wang, SB Scruggs, Q Cao, DC Ng, P Ping
Circulation 136 (suppl_1), A15559-A15559, 2017
2017
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Articles 1–20