| 2025 | ICDM | Efficient Large-Scale Learning of Minimax Risk Classifiers. | Kartheek Bondugula, Santiago Mazuelas, Aritz Prez |
| 2023 | UAI | Efficient Learning of Minimax Risk Classifiers in High Dimensions. | Kartheek Bondugula, Santiago Mazuelas, Aritz Prez |
| 2022 | GECCO | Implementing the cumulative difference plot in the IOHanalyzer. | Etor Arza, Josu Ceberio, Ekhie Irurozki, Aritz Prez |
| 2022 | ICDM | Dirichlet process mixture models for non-stationary data streams. | Ioar Casado, Aritz Prez |
| 2021 | ICDM | K-means for Evolving Data Streams. | Arkaitz Bidaurrazaga, Aritz Prez, Marco Cap |
| 2020 | ECAI | General Supervision via Probabilistic Transformations. | Santiago Mazuelas, Aritz Prez |
| 2020 | GECCO | An adaptive neuroevolution-based hyperheuristic. | Etor Arza, Josu Ceberio, Aritz Prez, Ekhie Irurozki |
| 2019 | GECCO | Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. | Etor Arza, Josu Ceberio, Aritz Prez, Ekhine Irurozki |
| 2018 | CEC | Are the Artificially Generated Instances Uniform in Terms of Difficulty? | Aritz Prez, Josu Ceberio, Jos Antonio Lozano |
| 2018 | IDC | Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures. | Izaskun Oregi, Javier Del Ser, Aritz Prez, Jos Antonio Lozano |
| 2017 | CEC | Nature-inspired approaches for distance metric learning in multivariate time series classification. | Izaskun Oregi, Javier Del Ser, Aritz Prez, Jos Antonio Lozano |