A comprehensive strategy for mammogram image classification using learning classifier systems. - Abubakar Siddique 004; Muhammad Iqbal 001; Will N. Browne (CEC, 2016)

Learning classifier systems: appreciating the lateralized approach. - Abubakar Siddique 004; Will N. Browne; Gina M. Grimshaw (GECCO Companion, 2020)

Lateralized learning for robustness against adversarial attacks in a visual classification system. - Abubakar Siddique 004; Will N. Browne; Gina M. Grimshaw (GECCO, 2020)

Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images. - Harisu Abdullahi Shehu; Abubakar Siddique 004; Will N. Browne; Hedwig Eisenbarth (EvoApplications, 2021)

Learning classifier systems: cognitive inspired machine learning for eXplainable AI. - Abubakar Siddique 004; Will N. Browne (GECCO Companion, 2022)

Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks. - Abubakar Siddique 004; Will N. Browne; Gina M. Grimshaw (IEEE Trans. Evol. Comput., 2022)

Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. - Abubakar Siddique 004; Muhammad Iqbal 001; Shahab Ud Din; Will N. Browne (GECCO Companion, 2023)

Modern Applications of Evolutionary Rule-based Machine Learning. - Abubakar Siddique 004; Will N. Browne; Ryan J. Urbanowicz (GECCO Companion, 2023)

Lateralized Learning for Multi-Class Visual Classification Tasks. - Abubakar Siddique 004; Will N. Browne; Gina M. Grimshaw (CoRR, 2023)

Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence. - Abubakar Siddique 004; Will N. Browne; Gina M. Grimshaw (CoRR, 2023)

Lateralized Learning to Solve Complex Boolean Problems. - Abubakar Siddique 004; Will N. Browne; Gina M. Grimshaw (IEEE Trans. Cybern., 2023)

Evolutionary Machine Learning for Interpretable and eXplainable AI. - Abubakar Siddique 004; Will N. Browne; Ryan J. Urbanowicz (GECCO Companion, 2024)

A Survey on Learning Classifier Systems from 2022 to 2024. - Abubakar Siddique 004; Michael Heider; Muhammad Iqbal 001; Hiroki Shiraishi (GECCO Companion, 2024)

Enhancing Visual Focus: Incorporating Attention into Rule-Based Machine Learning. - Abubakar Siddique 004; Muhammad Iqbal 001; Will N. Browne (IVCNZ, 2024)