Name: Hugo Proenca
Type: User
Company: LIACS
Bio: Bringing interpretable machine learning, rule list learning, subgroup discovery forward through the Bayesian and the Minimum Description Length (MDL) principles
Twitter: hmproenca
Location: Leiden, Netherlands
Blog: www.linkedin.com/in/hugo-manuel-proenca
Hugo Proenca's Projects
A curated list of awesome Machine Learning frameworks, libraries and software.
My personal website.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
This repository contains all the code of the PhD dissertation 'Robust rules for prediction and description' at the time it was published.
This repository replicates the experiments in the 'Robust Subgroup Discovery' paper.
This repository reproduces the experiments of the paper "Discovering outstanding subgroup lists for numeric targets using MDL" published at ECML-PKDD.
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