Dr Majid Abdolshah

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2021

A New Representation of Successor Features for Transfer across Dissimilar Environments

Majid Abdolshah, Hung Le, Thommen George, Sunil Gupta, Santu Rana, Svetha Venkatesh

(2021), Vol. 139, pp. 1-14, ICML 2021 : Proceedings of the International Conference of Machine Learning, Virtual Conference, E1

conference
2019

Multi-objective Bayesian optimisation with preferences over objectives

M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh

(2019), Vol. 32, pp. 1-11, NeurIPS 2019 : Proceedings of the 33rd Conference on Neural Information Processing Systems, Vancouver, British Columbia, E1

conference
2018

Expected hypervolume improvement with constraints

M Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, svetha Venkatesh

(2018), pp. 3238-3243, ICPR 2018 : Proceedings of the 24th International Conference on Pattern Recognition, Beijing, China, E1

conference
2017

Classification of X-Ray images of shipping containers

M Abdolshah, M Teimouri, R Rahmani

(2017), Vol. 77, pp. 57-65, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal article
2016

Walking control of humanoid robots on uneven ground using fuzzy algorithm

S Abdolshah, M Abdolshah, M Abdolshah, S Vahid Hashemi

(2016), pp. 304-313, Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics, Hershey, Pa., B1

book chapter

Developing a computer vision method based on AHP and feature ranking for ores type detection

M Ebrahimi, M Abdolshah, Saeed Abdolshah

(2016), Vol. 49, pp. 179-188, Applied soft computing, Amsterdam, The Netherlands, C1-1

journal article

Funded Projects at Deakin

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