Explanatory Data Analysis group

Dr. Hugo Manuel Proença

Dr. Hugo Manuel Proença
Dr. Hugo Manuel Proença
Guest researcher

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Hugo is an AI Scientist at Silo AI and a guest researcher in the EDA group.

Hugo has always been interested in the idea of using past knowledge to make optimal decisions in the future. This road took him to different studies at Técnico Lisboa, starting with a bachelor in Physics Engineering and then to a specialisation in Control Theory, part of the Master in Mechanical Engineering.

During his PhD in the EDA group he developed theory and methods for the discovery of predictive and descriptive rules from data. He formalised and unified these problems using the minimum description length (MDL) principle. His research was part of the SAPPAO project, a partnership with IIT Roorkee and GE Aviation, both in India. He was supervised by prof. dr. Thomas Bäck (promotor) and dr. Matthijs van Leeuwen (co-promotor).

Selected recent publications

Lopez-Martinez-Carrasco, A, Proença, HM, Juarez, JM, van Leeuwen, M & Campos, M Discovering Diverse Top-k Characteristic Lists. In: Proceedings of the 21st International Symposium on Intelligent Data Analysis (IDA 2023), Springer, 2023.
Proença, HM, Grünwald, P, Bäck, T & van Leeuwen, M Robust subgroup discovery - Discovering subgroup lists using MDL. Data Mining and Knowledge Discoveryimplementationwebsite
Proença, HM Robust rules for prediction and description. PhD thesis, Leiden University, 2021.implementation