Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. - Jason Adair; Alexander E. I. Brownlee; Gabriela Ochoa (UKCI, 2016)

Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces. - Jason Adair; Alexander E. I. Brownlee; Fabio Daolio; Gabriela Ochoa (MOD, 2017)

Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. - Jason Adair; Alexander E. I. Brownlee; Gabriela Ochoa (EvoApplications, 2018)

Improving the generalisability of brain computer interface applications via machine learning and search-based heuristics. - Jason Adair (2018)

Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers. - Paul McMenemy; Nadarajen Veerapen; Jason Adair; Gabriela Ochoa (EvoCOP, 2019)

Local optima networks for continuous fitness landscapes. - Jason Adair; Gabriela Ochoa; Katherine M. Malan (GECCO (Companion), 2019)

Exploring the Accuracy - Energy Trade-off in Machine Learning. - Alexander E. I. Brownlee; Jason Adair; Saemundur O. Haraldsson; John Jabbo (GI@ICSE, 2021)

Neuroevolution Trajectory Networks of the Behaviour Space. - Stefano Sarti; Jason Adair; Gabriela Ochoa (EvoApplications, 2022)

Recombination and Novelty in Neuroevolution: A Visual Analysis. - Stefano Sarti; Jason Adair; Gabriela Ochoa (SN Comput. Sci., 2022)

Under the Hood of Transfer Learning for Deep Neuroevolution. - Stefano Sarti; Nuno Lourenço 002; Jason Adair; Penousal Machado; Gabriela Ochoa (EvoApplications@EvoStar, 2023)

From Fitness Landscapes to Explainable AI and Back. - Sarah L. Thomson; Jason Adair; Alexander E. I. Brownlee; Daan van den Berg (GECCO Companion, 2023)

Explaining evolutionary feature selection via local optima networks. - Jason Adair; Sarah L. Thomson; Alexander E. I. Brownlee (GECCO Companion, 2024)