1 code implementation • 31 May 2023 • Antonin Arsac, Aurore Lomet, Jean-Philippe Poli
To circumvent this problem, we present in this paper a novel approach for discovering causality in time series data that combines a causal discovery algorithm with an information theoretic-based measure.
no code implementations • 30 Dec 2019 • Régis Pierrard, Jean-Philippe Poli, Céline Hudelot
In this paper, we focus on organ annotation in medical images and we introduce a reasoning framework that is based on learning fuzzy relations on a small dataset for generating explanations.
no code implementations • 17 Dec 2019 • Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli, Franck Sabatié
Before any publication, data analysis of high-energy physics experiments must be validated.
no code implementations • 17 Dec 2019 • Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli, Noëlie Cherrier
Particle physics or High Energy Physics (HEP) studies the elementary constituents of matter and their interactions with each other.
no code implementations • 17 Aug 2019 • Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié
To the best of our knowledge, it is the first time a method is proposed for interpretable feature construction with units of measurement, and that experts in high-energy physics validate the overall approach as well as the interpretability of the built features.