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 2020Show all

2 papers · 1 filter

cs.LG2020★ 146 cited

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Kevin Fauvel, Tao Lin, Véronique Masson +2

Multivariate Time Series (MTS) classification has gained importance over the past decade with the increase in the number of temporal datasets in multiple domains. The current state…

cs.LG2020★ 63 cited

XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification

Kevin Fauvel, Élisa Fromont, Véronique Masson +2

We present XEM, an eXplainable-by-design Ensemble method for Multivariate time series classification. XEM relies on a new hybrid ensemble method that combines an explicit boosting-…