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Lateralized learning for robustness against adversarial attacks in a visual classification system., , and . GECCO, page 395-403. ACM, (2020)Absumption to complement subsumption in learning classifier systems., , and . GECCO, page 410-418. ACM, (2019)Extracting and using building blocks of knowledge in learning classifier systems., , and . GECCO, page 863-870. ACM, (2012)Multi-objective particle swarm optimisation (PSO) for feature selection., , and . GECCO, page 81-88. ACM, (2012)Theoretical adaptation of multiple rule-generation in XCS., , and . GECCO, page 482-489. ACM, (2018)Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution., , , and . CEC, page 1-8. IEEE, (2022)Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images., , , and . EvoApplications, volume 12694 of Lecture Notes in Computer Science, page 469-485. Springer, (2021)Adaptive artificial datasets through learning classifier systems for classification tasks., , and . GECCO (Companion), page 1243-1250. ACM, (2013)Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems., , and . GECCO, page 1045-1052. ACM, (2013)Trading off salience and uncertainty in sampling a visual scene., , , and . IVCNZ, page 236-241. IEEE, (2013)