Ali Ismail-Fawaz

According to our database, Ali Ismail-Fawaz authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Finding Foundation Models for Time Series Classification with a PreText Task.

Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024

2023

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.

Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb

CoRR, 2023

Enhancing Time Series Classification with Self-Supervised Learning.

Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

LITE: Light Inception with boosTing tEchniques for Time Series Classification.

Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.

Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.

Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier

Proceedings of the IEEE International Conference on Big Data, 2022