Publications
You can also find my articles on my Google Scholar profile.
2025
- V. Toscano-Duran, R. Gonzalez-Diaz, and Miguel A. Gutiérrez-Naranjo: Barycentric Neural Networks and Length-Weighted Persistent Entropy Loss: A Green Geometric and Topological Framework for Function Approximation, Preprint, 2025.
[Preprint] - V. Toscano-Duran, F. Rottach, and B. Rieck: Molecular Machine Learning Using Euler Characteristic Transforms, Proocedings of the 1st Conference of the Spanish Society of Artificial Intelligence in Biomedicine, 2025 (accepted, to appear).
[Preprint] - V. Toscano-Duran, and B. Rieck: A Topological Molecular Representation for Molecular Learning Based on the Euler Characteristic Transform, ECML-PKDD Workshop on Mining and Learning with Graphs, 2025.
[URL] - J. Perera-Lago, V. Toscano-Duran, A. Torras-Casas, and R. Gonzalez-Diaz: Topology-based analysis and optimization for agent fleet behavior, Open Res Europe, 5:200, 2025.
[URL] [Cite] - V. Toscano-Duran, S. Narteni, A. Carlevaro, R. Gonzalez-Diaz, M. Mongelli, and J. Guzzi: Safe and efficient social navigation through explainable safety regions based on topological features, Proceedings of The 3rd World Conference on eXplainable Artificial Intelligence, 2025 (accepted, to appear).
[Preprint]
2024
- J. Perera-Lago, V. Toscano-Duran, E. Paluzo-Hidalgo, S. Narteni, and M. Rucco: Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data, Proocedings of the Second World Conference on eXplainable Artificial Intelligence, Communications in Computer and Information Science, vol 2156, pp 384–395, Springer, Cham, 2024.
[URL] [Cite] - J. Perera-Lago, V. Toscano-Duran, R. Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, M. Rucco, and E. Paluzo-Hidalgo: An in-depth analysis of data reduction methods for sustainable deep learning, Open Res Europe, 4:101, 2024.
[URL] [Cite]