Bilal Mirza

According to our database, Bilal Mirza authored at least 12 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Kernel based online learning for imbalance multiclass classification.

Shuya Ding, Bilal Mirza, Zhiping Lin, Jiuwen Cao, Xiaoping Lai, Tam V. Nguyen, Jose Sepulveda

Neurocomputing, 2018

ASMIM: Augmented Reality Authoring System for Mobile Interactive Manuals.

Tam V. Nguyen, Bilal Mirza, Dorothy Tan, Jose Sepulveda

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018

2017

Dual-layer kernel extreme learning machine for action recognition.

Tam V. Nguyen, Bilal Mirza

Neurocomputing, 2017

2016

Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification.

Bilal Mirza, Zhiping Lin

Neural Networks, 2016

MARIM: Mobile Augmented Reality for Interactive Manuals.

Tam V. Nguyen, Dorothy Tan, Bilal Mirza, Jose Sepulveda

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Efficient representation learning for high-dimensional imbalance data.

Bilal Mirza, Stanley Kok, Zhiping Lin, Yong Kiang Yeo, Xiaoping Lai, Jiuwen Cao, Jose Sepulveda

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015

Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift.

Bilal Mirza, Zhiping Lin, Nan Liu

Neurocomputing, 2015

Voting based weighted online sequential extreme learning machine for imbalance multi-class classification.

Bilal Mirza, Zhiping Lin, Jiuwen Cao, Xiaoping Lai

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Landmark recognition via sparse representation.

Jiuwen Cao, Yanfei Zhao, Xiaoping Lai, Tao Chen, Nan Liu, Bilal Mirza, Zhiping Lin

Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014

Risk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data.

Nan Liu, Zhixiong Koh, Eric Chern-Pin Chua, Licia Mei-Ling Tan, Zhiping Lin, Bilal Mirza, Marcus Eng Hock Ong

IEEE J. Biomed. Health Informatics, 2014

2013

Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning.

Bilal Mirza, Zhiping Lin, Kar-Ann Toh

Neural Process. Lett., 2013

One-vs-all for class imbalance learning.

Bilal Mirza, Zhiping Lin

Proceedings of the 9th International Conference on Information, 2013