Ali Ismail-Fawaz

According to our database, Ali Ismail-Fawaz authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

2024

Look Into the LITE in Deep Learning for Time Series Classification.

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

CoRR, 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

Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics.

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

CoRR, 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

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

LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles.

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

Proceedings of the Extraction et Gestion des Connaissances, 2024

Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.

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

Proceedings of the Advanced Analytics and Learning on Temporal Data, 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