Majid Abdolshah
Majid Abdolshah
Associate research fellow @ Applied Artificial Intelligence Institute (AČIČ), Deakin University
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Classification of X-Ray images of shipping containers
M Abdolshah, M Teimouri, R Rahmani
Expert Systems with Applications 77, 57-65, 2017
122017
Multi-objective Bayesian optimisation with preferences over objectives
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
72019
Developing a computer vision method based on AHP and feature ranking for ores type detection
M Ebrahimi, M Abdolshah, S Abdolshah
Applied Soft Computing 49, 179-188, 2016
62016
Cost-aware Multi-objective Bayesian optimisation
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
arXiv preprint arXiv:1909.03600, 2019
32019
Trajectory Planning and Walking Pattern Generation of Humanoid Robot Motion
S Abdolshah, M Abdolshah, SH Tang
International Journal of Robotics and Automation (IAES) 4 (2), 135, 2015
32015
Expected Hypervolume Improvement with Constraints
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
International Conference on Pattern Recognition (ICPR), 2018
22018
Walking control of humanoid robots on uneven ground using fuzzy algorithm
S Abdolshah, M Abdolshah, M Abdolshah, SV Hashemi
Rapid Automation: Concepts, Methodologies, Tools, and Applications, 352-361, 2019
12019
Stable Bayesian Optimisation via Direct Stability Quantification
A Shilton, S Gupta, S Rana, S Venkatesh, M Abdolshah, N Dang
https://arxiv.org/abs/1902.07846, 2019
2019
Multi-objective Bayesian optimisation with preferences over objectives
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
Advances in Neural Information Processing Systems 32, 12235-12245, 2019
2019
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Articles 1–9