Conference Presentations
A list of conferences where I have presented my research.
2024
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024)
Date: September 9-13, 2024
Location: Vilnius, Lithuania
Type: Tutorial
Title: An Introduction to Machine Learning from Time Series
Abstract: Time series machine learning is a rapidly evolving field that finds areas of application in all domains of machine learning and data science. This tutorial will provide an accessible overview of the recent research in a range of time series tasks, including classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search.
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
2023
EGC 2023 - Atelier GATS
Date: January 23-27, 2023
Location: Lyon, France
Type: Workshop Presentation
Title: Vers un outil d'évaluation comparative pour la maintenance prédictive : comment comparer différentes approches ?
Abstract: Proposal for a comparative evaluation tool for predictive maintenance, addressing the challenge of comparing different approaches in this domain.
Authors: Antoine Guillaume, Christel Vrain, Wael Elloumi
2022
3rd International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2022)
Date: 2022
Location: Paris, France
Type: Conference Paper Presentation
Title: Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
Abstract: Introduction of a novel approach for time series classification using dilated shapelets, improving on traditional shapelet-based methods.
Authors: Antoine Guillaume, Christel Vrain, Wael Elloumi
If you'd like to invite me to speak at your conference or event, please get in touch!