| Jun 15, 2026 | “Assessing Reliability of Symbol Detection in Concept Bottleneck Models” published on arXiv. |
| May 12, 2026 | “Hypernetworks for Dynamic Feature Selection” published on arXiv. |
| Mar 31, 2026 | Two papers accepted at the 2026 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, WCCI 2026): A Fast Interpretable Fuzzy Tree Learner and A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection. |
| Feb 09, 2026 | ex-fuzzy now supports conformal learning. |
| Dec 10, 2025 | ex-fuzzy now supports Evox as a GPU backend and regression learning support. Available in the GitHub version and soon on PyPI. |
| Dec 06, 2025 | Presented three posters at EurIPS 2025 in Copenhagen: “Gradient-based Learning for Explainable Fuzzy Rule-based Classification” at the Salon des Refusés and the EIML Workshop, alongside “Rule-Based Dynamic Feature Selection for Explainable Classification with Uncertainty Quantification”. |
| Dec 02, 2025 | “Dynamic Feature Selection based on Rule-based Learning for Explainable Classification with Uncertainty Quantification” published in arXiv. |
| Jun 12, 2025 | “Reliable Classification with Conformal Learning and Interval-Type 2 Fuzzy Sets” and “Crisp complexity of fuzzy classifiers” have been accepted for publication in 2025 IEEE International Conference on Fuzzy Systems. |
| Mar 02, 2025 | “Compact Rule-Based Classifier Learning via Gradient Descent” published in arXiv. |
| Jun 12, 2024 | “Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming” accepted for publication in Neurocomputing. You can check the repo in Github here and the docs in here. |
| Mar 18, 2024 | “Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules” and “A Rule-Based Approach for Interpretable Intensity-Modulated Radiation Therapy Treatment Selection” accepted for publication in WCCI 2024. |
| Jul 27, 2023 | PhD Thesis succesfully defended. |