Jason Adair

According to our database, Jason Adair authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

From Fitness Landscapes to Explainable AI and Back.

Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Under the Hood of Transfer Learning for Deep Neuroevolution.

Stefano Sarti, Nuno Lourenço, Jason Adair, Penousal Machado, Gabriela Ochoa

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

Recombination and Novelty in Neuroevolution: A Visual Analysis.

Stefano Sarti, Jason Adair, Gabriela Ochoa

SN Comput. Sci., 2022

Neuroevolution Trajectory Networks of the Behaviour Space.

Stefano Sarti, Jason Adair, Gabriela Ochoa

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Exploring the Accuracy - Energy Trade-off in Machine Learning.

Alexander E. I. Brownlee, Jason Adair, Saemundur O. Haraldsson, John Jabbo

Proceedings of the 10th IEEE/ACM International Workshop on Genetic Improvement, 2021

2019

Local optima networks for continuous fitness landscapes.

Jason Adair, Gabriela Ochoa, Katherine M. Malan

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers.

Paul McMenemy, Nadarajen Veerapen, Jason Adair, Gabriela Ochoa

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

2018

Improving the generalisability of brain computer interface applications via machine learning and search-based heuristics.

Jason Adair

PhD thesis, 2018

Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces.

Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa

Proceedings of the Applications of Evolutionary Computation, 2018

2017

Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces.

Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2016

Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces.

Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa

Proceedings of the Advances in Computational Intelligence Systems, 2016