Browse by Aston Author

Patelli, Alina, Hamilton, John Rego and Ekárt, Anikó (2025). Urban Transport Decision Making: Improving Traffic Prediction with Symbolic Regression, Transfer Learning and Deep Learning. IN: The Genetic and Evolutionary Computation Conference. Malaga: ACM. (In Press)

Hamilton, John rego, Ekárt, Anikó and Patelli, Alina (2023). Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. IN: International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Correia, João; Smith, Stephen and Qaddoura, Raneem (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1). Springer, Cham.

Patelli, Alina, Lewis, Peter R., Ekárt, Anikó, Wang, Hai, Nabney, Ian T., Bennett, David, Lucas, Ralph and Cole, Alex (2017). An architecture for the autonomic curation of crowdsourced knowledge. Cluster Computing, 20 (3), 2031–2046.

Ekárt, Anikó, Patelli, Alina, Lush, Victoria and Ilie-Zudor, Elisabeth (2017). Gaining insights into road traffic data through genetic improvement. IN: GECCO '17: proceedings of the Genetic and Evolutionary Computation Conference. DEU: ACM.