Journal Papers

Rodríguez-Sánchez, F., Bielza, C., & Larrañaga, P. (2022). Multi-partition clustering of mixed data with Bayesian networks. International Journal of Intelligent Systems, 37, 2188–2218.
Rodríguez-Sánchez, F., et al. (2021). Identifying Parkinson's disease subtypes with motor and non-motor symptoms via model-based clustering. Scientific Reports, 11, 1–10.
Rodríguez-Sánchez, F., Larrañaga, P., & Bielza, C. (2020). Incremental learning of latent forests. IEEE Access, 8, 224420–224432.

Conference Papers

Abbes, I., Prato, G., Fournier, Q., Rodríguez, F., Boukhary, A., Elwood, A., & Chandar, S. (2025). Small Encoders Can Rival Large Decoders in Detecting Groundedness. Findings of the Association for Computational Linguistics: ACL 2025, 21998–22005.
Rodríguez-Sánchez, F., Larrañaga, P., & Bielza, C. (2018). Discrete model-based clustering with overlapping subsets of attributes. Proceedings of the 9th International Conference on Probabilistic Graphical Models, 72, 392–403.

Technical Reports

Rodríguez-Sánchez, F., Larrañaga, P., & Bielza, C. (2017). Multi-facet determination for clustering with Bayesian networks. Technical Report, Universidad Politécnica de Madrid.