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

146 citations · 216 across the 8 of their papers we have counts for

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2 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…