Bilal Mirza
Title
Cited by
Cited by
Year
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
1312015
Weighted online sequential extreme learning machine for class imbalance learning
B Mirza, Z Lin, KA Toh
Neural processing letters 38 (3), 465-486, 2013
972013
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
662019
Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification
B Mirza, Z Lin
Neural Networks 80, 79-94, 2016
612016
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
412018
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
412014
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
262015
Dual-layer kernel extreme learning machine for action recognition
TV Nguyen, B Mirza
Neurocomputing 260, 123-130, 2017
232017
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
212019
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
172016
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
132018
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
72016
One-vs-all for class imbalance learning
B Mirza, Z Lin
2013 9th International Conference on Information, Communications & Signal …, 2013
72013
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
52016
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
42018
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
Identifying temporal molecular signatures underlying cardiovascular diseases: A data science platform
NC Chung, H Choi, D Wang, B Mirza, AR Pelletier, D Sigdel, W Wang, ...
Journal of Molecular and Cellular Cardiology 145, 54-58, 2020
2020
Integrated Machine Learning Approach to Identify Metabolome Fingerprints of Pathological Stages Following Heart Failure Treatment
H Choi, B Mirza, DA Liem, D Wang, MC Deng, W Wang, P Ping
The FASEB Journal 34 (S1), 1-1, 2020
2020
Machine Learning‐supported Characterization of the Oxidative Stress‐Sensitive Posttranslational Modifications in ISO‐induced Murine Cardiac Hypertrophy
D Wang, J Wang, H Choi, B Mirza, J Lee, D Ng, Y Wang, J Yates, P Ping
The FASEB Journal 34 (S1), 1-1, 2020
2020
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
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Articles 1–20