output
20182023
most citedXCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

146 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.AIShow all

3 papers · 1 filter

cs.AI2023

Persistence-Based Discretization for Learning Discrete Event Systems from Time Series

Lénaïg Cornanguer, Christine Largouët, Laurence Rozé +1

To get a good understanding of a dynamical system, it is convenient to have an interpretable and versatile model of it. Timed discrete event systems are a kind of model that respon…

cs.AI2022★ 2 cited

VCNet: A self-explaining model for realistic counterfactual generation

Victor Guyomard, Françoise Fessant, Thomas Guyet +2

Counterfactual explanation is a common class of methods to make local explanations of machine learning decisions. For a given instance, these methods aim to find the smallest modif…

cs.AI2018★ 3 cited

Day-ahead time series forecasting: application to capacity planning

Colin Leverger, Vincent Lemaire, Simon Malinowski +2

In the context of capacity planning, forecasting the evolution of informatics servers usage enables companies to better manage their computational resources. We address this proble…