Santiago Gil-Begue



Phone: +34-910673120

E-mail: sgil (at)

Regular mail: santiago.gil.begue (at)

Departamento de Inteligencia Artificial

Escuela Técnica Superior de Ingenieros Informáticos

Campus de Montegancedo

Universidad Politécnica de Madrid

28660 Boadilla del Monte, Madrid, España


PhD student in Artificial Intelligence with an FPU fellowship.

Short Bio

Santiago Gil-Begue received a B.Sc. degree in Computer Engineering at the University of Zaragoza in 2017 and a M.Sc. degree in Artificial Intelligence at the Technical University of Madrid (UPM) in 2018. He is currently a PhD student at the Technical University of Madrid.

Research interests

Machine learning, Multi-label and multi-dimensional classification, Probabilistic graphical models, Bayesian networks, and its applications to Industry 4.0.

Journal papers

Gil-Begue, S., C. Bielza, and P. Larrañaga, "Multi-dimensional Bayesian network classifiers: A survey", Artificial Intelligence Review, vol. accepted, 2020.

Conference papers

Gil-Begue, S., P. Larrañaga, and C. Bielza, "Multi-dimensional Bayesian network classifier trees (Slides)", Proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, vol. Lecture Notes in Computer Science 11314: Springer, pp. 354-363, 2018.
Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, "Multi-Objective Optimization with Joint Probabilistic Modeling of Objectives and Variables", Lecture Notes in Computer Science, no. 6576: Springer, pp. 298-312, 2011.

Master's thesis

Gil-Begue, S., Nuevos clasificadores Bayesianos multi-dimensionales. Aplicaciones a la eficiencia energética en la Industria 4.0, (supervised by C. Bielza and P. Larrañaga), Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 2018. Best 2017-2018 Artificial Intelligence M.Sc. thesis.