Academic Publications
This page lists my academic publications, including journal articles, conference papers, and preprints.
Journal Articles
Aeon: A Python Toolkit for Learning from Time Series
Authors: Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, et al., Anthony Bagnall
Journal: Journal of Machine Learning Research
Volume: 25
Year: 2024
Abstract: Presentation of aeon, a comprehensive Python toolkit for time series machine learning, providing state-of-the-art algorithms for classification, regression, and forecasting.
Conference Papers
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
Authors: Antoine Guillaume, Christel Vrain, Wael Elloumi
Conference: 3rd International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2022)
Year: 2022
Publisher: Springer
Abstract: Introduction of a novel approach for time series classification using dilated shapelets, improving on traditional shapelet-based methods.
Vers un outil d'évaluation comparative pour la maintenance prédictive : comment comparer différentes approches ?
Authors: Antoine Guillaume, Christel Vrain, Wael Elloumi
Conference: EGC 2023 - Atelier GATS
Year: 2023
Location: Lyon, France
Abstract: Proposal for a comparative evaluation tool for predictive maintenance, addressing the challenge of comparing different approaches in this domain.
Workshops, Demos & Tutorials
Time Series Machine Learning with aeon: Classification and Regression
Authors: Matthew Middlehurst, Anthony Bagnall, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume
Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025)
Year: 2025
Type: Demo
Keywords: Time series, Classification, Regression, aeon
A Hands-on Introduction to Time Series Classification and Regression
Authors: Anthony Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, et al., Geoffrey I. Webb
Conference: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)
Year: 2024
Location: Barcelona, Spain
Publisher: Association for Computing Machinery
Type: Tutorial
An Introduction to Machine Learning from Time Series
Organisers: Anthony Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Arik Ermshaus, Patrick Schäfer, Thorsten Papenbrock, Sebastian Schmidl, Phillip Wenig
Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024)
Year: 2024
Type: Tutorial
Thesis
Time Series Classification with Shapelets: Application to Predictive Maintenance
Type: Ph.D. Thesis
Institution: University of Orléans
Year: 2022
Supervisors: Christel Vrain, Wael Elloumi
Abstract: This thesis explores time series classification using shapelet-based methods with applications to predictive maintenance. Research areas include time series analysis, transformation and classification, anomaly detection, survival analysis, and trigger systems.
Keywords: Time series analysis, Shapelets, Predictive maintenance, Machine learning, Classification
Citation Metrics
For up-to-date citation information, please visit my: - Google Scholar Profile - ResearchGate Profile - ORCID: 0000-0001-8975-982X
For full-text access or collaboration inquiries, please contact me at antoine.guillaume45@gmail.com