| 2024 | IJCNN | Factorized models in neural architecture search: Impact on computational costs and performance. | Unai Garciarena, Alexander Mendiburu, Roberto Santana |
| 2023 | GECCO | Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. | Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, Jos Antonio Lozano |
| 2023 | GECCO | Analyzing the interplay between transferable GANs and gradient optimizers. | Unai Garciarena, Roberto Santana, Alexander Mendiburu |
| 2021 | GECCO | On the exploitation of neuroevolutionary information. | Unai Garciarena, Nuno Loureno, Penousal Machado, Roberto Santana, Alexander Mendiburu |
| 2020 | CEC | Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. | Unai Garciarena, Alexander Mendiburu, Roberto Santana |
| 2018 | CEC | Analysis of the Complexity of the Automatic Pipeline Generation Problem. | Unai Garciarena, Roberto Santana, Alexander Mendiburu |
| 2018 | GECCO | Evolved GANs for generating pareto set approximations. | Unai Garciarena, Roberto Santana, Alexander Mendiburu |
| 2018 | GECCO | Expanding variational autoencoders for learning and exploiting latent representations in search distributions. | Unai Garciarena, Roberto Santana, Alexander Mendiburu |
| 2016 | GECCO | Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions. | Unai Garciarena, Roberto Santana |