Abubakar Siddique

Orcid: 0000-0002-3253-802X

Affiliations:
  • Wellington Institute of Technology, Whitireia WelTec, Wellington, New Zealand


According to our database1, Abubakar Siddique authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Enhancing Visual Focus: Incorporating Attention into Rule-Based Machine Learning.
Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

A Survey on Learning Classifier Systems from 2022 to 2024.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolutionary Machine Learning for Interpretable and eXplainable AI.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Lateralized Learning to Solve Complex Boolean Problems.
IEEE Trans. Cybern., November, 2023

Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence.
CoRR, 2023

Lateralized Learning for Multi-Class Visual Classification Tasks.
CoRR, 2023

Modern Applications of Evolutionary Rule-based Machine Learning.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks.
IEEE Trans. Evol. Comput., 2022

Learning classifier systems: cognitive inspired machine learning for eXplainable AI.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
Lateralized learning for robustness against adversarial attacks in a visual classification system.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Learning classifier systems: appreciating the lateralized approach.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2016
A comprehensive strategy for mammogram image classification using learning classifier systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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