| 2025 | GECCO | Time-Modulated Hebbian Learning for Classic Control Tasks. | Daniel Garca-Nez, Fergal Stapleton, Edgar Galvn |
| 2025 | GECCO | Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks. | Fergal Stapleton, Daniel Garca-Nez, Yanan Sun, Edgar Galvn |
| 2024 | CEC | NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks. | Fergal Stapleton, Edgar Galvn |
| 2024 | PPSN | Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution. | Darian Reyes Fernndez de Bulnes, Allan de Lima, Edgar Galvn, Conor Ryan |
| 2023 | GECCO | Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. | Fergal Stapleton, Edgar Galvn |
| 2022 | GECCO | Neural architecture search using genetic algorithm for facial expression recognition. | Shuchao Deng, Yanan Sun, Edgar Galvn |
| 2022 | GECCO | Highlights of semantics in multi-objective genetic programming. | Edgar Galvn, Leonardo Trujillo, Fergal Stapleton |
| 2022 | GECCO | Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. | Fergal Stapleton, Edgar Galvn, Ganesh Sistu, Senthil Kumar Yogamani |
| 2022 | IJCNN | ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. | Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galvn, John McDonald |
| 2021 | CEC | Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. | Fergal Stapleton, Edgar Galvn |
| 2020 | PSD | Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. | Vicen Torra, Guillermo Navarro-Arribas, Edgar Galvn |
| 2019 | GECCO | Promoting semantic diversity in multi-objective genetic programming. | Edgar Galvn, Marc Schoenauer |