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Bilal Mirza
Bilal Mirza
Johnson & Johnson Innovative Medicine, UCLA
Verifisert e-postadresse på its.jnj.com - Startside
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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
2712019
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
1792015
Weighted online sequential extreme learning machine for class imbalance learning
B Mirza, Z Lin, KA Toh
Neural processing letters 38, 465-486, 2013
1192013
Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification
B Mirza, Z Lin
Neural Networks 80, 79-94, 2016
882016
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
782018
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
552014
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
512019
Dual-layer kernel extreme learning machine for action recognition
TV Nguyen, B Mirza
Neurocomputing 260, 123-130, 2017
382017
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
372015
Multi-layer online sequential extreme learning machine for image classification
B Mirza, S Kok, F Dong
Proceedings of ELM-2015 Volume 1: Theory, Algorithms and Applications (I), 39-49, 2016
272016
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
182018
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
122016
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
112018
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
112016
One-vs-all for class imbalance learning
B Mirza, Z Lin
2013 9th International Conference on Information, Communications & Signal …, 2013
72013
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
62015
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
52020
A clinical site workload prediction model with machine learning lifecycle
B Mirza, X Li, K Lauwers, B Reddy, A Muller, C Wozniak, S Djali
Healthcare Analytics 3, 100159, 2023
42023
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17)
S Wang, LL Minku, N Chawla, X Yao
arXiv preprint arXiv:1707.09425, 2017
22017
The research of ELM ensemble learning on multi-class resampling imbalanced data
X Wang, S Xing
2015 IEEE Advanced Information Technology, Electronic and Automation Control …, 2015
12015
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Artikler 1–20