no code implementations • 19 Dec 2023 • Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuente, Alexandre Termier
Among these methods, Kernel SHAP is widely used due to its model-agnostic nature and its well-founded theoretical framework.
1 code implementation • 14 Aug 2023 • Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier
lcensemble is a high-performing, scalable and user-friendly Python package for the general tasks of classification and regression.
no code implementations • 24 Apr 2023 • Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
Counterfactual explanations have become a mainstay of the XAI field.
no code implementations • 12 Jan 2023 • Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier
After the study of the persistence score, we point out that it tends to favor excessive cases making it miss interesting persisting symbols.
1 code implementation • 21 Dec 2022 • Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
Our contribution is the generation of counterfactuals that are close to the distribution of the predicted class.
no code implementations • 15 Sep 2021 • Erwan Bourrand, Luis Galárraga, Esther Galbrun, Elisa Fromont, Alexandre Termier
We are interested in understanding the underlying generation process for long sequences of symbolic events.
no code implementations • 24 Feb 2021 • Luis Galárraga, Olivier Pelgrin, Alexandre Termier
We introduce HiPaR, a novel pattern-aided regression method for tabular data containing both categorical and numerical attributes.
2 code implementations • 10 Sep 2020 • Kevin Fauvel, Tao Lin, Véronique Masson, Élisa Fromont, Alexandre Termier
Then, we illustrate how XCM reconciles performance and explainability on a synthetic dataset and show that XCM enables a more precise identification of the regions of the input data that are important for predictions compared to the current deep learning MTS classifier also providing faithful explainability.
1 code implementation • 7 May 2020 • Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier
We present XEM, an eXplainable-by-design Ensemble method for Multivariate time series classification.
no code implementations • 2 Jun 2019 • Hoang Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier
Discriminative pattern mining is an essential task of data mining.