Developing a computer vision method based on AHP and feature ranking for ores type detection. - Morteza Ebrahimi; Majid Abdolshah; Saeed Abdolshah (Appl. Soft Comput., 2016)

Classification of X-Ray images of shipping containers. - Majid Abdolshah; Mehdi Teimouri; Rohallah Rahmani (Expert Syst. Appl., 2017)

Expected Hypervolume Improvement with Constraints. - Majid Abdolshah; Alistair Shilton; Santu Rana; Sunil Gupta 001; Svetha Venkatesh (ICPR, 2018)

Multi-objective Bayesian optimisation with preferences over objectives. - Majid Abdolshah; Alistair Shilton; Santu Rana; Sunil Gupta 001; Svetha Venkatesh (NeurIPS, 2019)

Stable Bayesian Optimisation via Direct Stability Quantification. - Alistair Shilton; Sunil Gupta 001; Santu Rana; Svetha Venkatesh; Majid Abdolshah; Dang Nguyen 002 (CoRR, 2019)

Cost-aware Multi-objective Bayesian optimisation. - Majid Abdolshah; Alistair Shilton; Santu Rana; Sunil Gupta 001; Svetha Venkatesh (CoRR, 2019)

A New Representation of Successor Features for Transfer across Dissimilar Environments. - Majid Abdolshah; Hung Le 002; Thommen George Karimpanal; Sunil Gupta 001; Santu Rana; Svetha Venkatesh (ICML, 2021)

Model-Based Episodic Memory Induces Dynamic Hybrid Controls. - Hung Le 002; Thommen George Karimpanal; Majid Abdolshah; Truyen Tran 001; Svetha Venkatesh (NeurIPS, 2021)

Plug and Play, Model-Based Reinforcement Learning. - Majid Abdolshah; Hung Le 002; Thommen George Karimpanal; Sunil Gupta 001; Santu Rana; Svetha Venkatesh (CoRR, 2021)

Episodic Policy Gradient Training. - Hung Le 002; Majid Abdolshah; Thommen George Karimpanal; Kien Do; Dung Nguyen 001; Svetha Venkatesh (AAAI, 2022)

Semantic Control of Generative Musical Attributes. - Stewart Greenhill; Majid Abdolshah; Vuong Le; Sunil Gupta 001; Svetha Venkatesh (ISMIR, 2022)

Learning to Constrain Policy Optimization with Virtual Trust Region. - Hung Le 002; Thommen Karimpanal George; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (NeurIPS, 2022)

Memory-Constrained Policy Optimization. - Hung Le 002; Thommen George Karimpanal; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (CoRR, 2022)

Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. - Peixia Li; Pulak Purkait; Thalaiyasingam Ajanthan; Majid Abdolshah; Ravi Garg; Hisham Husain; Chenchen Xu; Stephen Gould; Wanli Ouyang; Anton van den Hengel (ICCV, 2023)

BO-Muse: A human expert and AI teaming framework for accelerated experimental design. - Sunil Gupta 001; Alistair Shilton; Arun Kumar A. V.; Shannon Ryan; Majid Abdolshah; Hung Le 002; Santu Rana; Julian Berk; Mahad Rashid; Svetha Venkatesh (CoRR, 2023)

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. - Thommen George Karimpanal; Hung Le 002; Majid Abdolshah; Santu Rana; Sunil Gupta 001; Truyen Tran 001; Svetha Venkatesh (Artif. Intell., 2023)

Accelerated experimental design using a human-AI teaming framework. - Arun Kumar Anjanapura Venkatesh; Alistair Shilton; Sunil Gupta 001; Shannon Ryan; Majid Abdolshah; Hung Le 002; Santu Rana; Julian Berk; Mahad Rashid; Svetha Venkatesh (Knowl. Based Syst., 2025)