3 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
s-LIME: Reconciling Locality and Fidelity in Linear Explanations
Romaric Gaudel, Luis Galárraga, Julien Delaunay +2
The benefit of locality is one of the major premises of LIME, one of the most prominent methods to explain black-box machine learning models. This emphasis relies on the postulate…
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…