Antoine Guillaume

According to our database, Antoine Guillaume authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Time Series Machine Learning with Aeon: Classification and Regression.

Matthew Middlehurst, Anthony J. Bagnall, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

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, Anthony J. Bagnall

CoRR, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

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

PhD thesis, 2023

2022

Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets.

Antoine Guillaume, Christel Vrain, Wael Elloumi

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021

Convolutional Shapelet Transform: A new approach for time series shapelets.

Antoine Guillaume, Christel Vrain, Wael Elloumi

CoRR, 2021

2020

Time series classification for predictive maintenance on event logs.

Antoine Guillaume, Christel Vrain, Wael Elloumi

CoRR, 2020