Time series classification for predictive maintenance on event logs. - Antoine Guillaume; Christel Vrain; Wael Elloumi (CoRR, 2020)

Convolutional Shapelet Transform: A new approach for time series shapelets. - Antoine Guillaume; Christel Vrain; Wael Elloumi (CoRR, 2021)

Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets. - Antoine Guillaume; Christel Vrain; Wael Elloumi (ICPRAI (1), 2022)

Time series classification with Shapelets: Application to predictive maintenance on event logs. (Classification de séries temporelles avec les Shapelets : application à la maintenance prédictive via journaux d'événements). - Antoine Guillaume (2023)

A Hands-on Introduction to Time Series Classification and Regression. - Anthony J. Bagnall; Matthew Middlehurst; Germain Forestier; Ali Ismail-Fawaz; Antoine Guillaume; David Guijo-Rubio; Chang Wei Tan; Angus Dempster; Geoffrey I. Webb (KDD, 2024)

aeon: a Python toolkit for learning from time series. - Matthew Middlehurst; Ali Ismail-Fawaz; Antoine Guillaume; Christopher Holder; David Guijo-Rubio; Guzal Bulatova; Leonidas Tsaprounis; Lukasz Mentel; Martin Walter; Patrick Schäfer 001; Anthony J. Bagnall (CoRR, 2024)