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Ali Ismail-Fawaz
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An approach to multiple comparison benchmark evaluations that is stable under manipulation of the comparate set
A Ismail-Fawaz, A Dempster, CW Tan, M Herrmann, L Miller, DF Schmidt, ...
arXiv preprint arXiv:2305.11921, 2023
142023
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters
A Ismail-Fawaz, M Devanne, J Weber, G Forestier
IEEE International Conference on Big Data, 2022
102022
Enhancing time series classification with self-supervised learning
A Ismail-Fawaz, M Devanne, J Weber, G Forestier
International Conference on Agents and Artificial Intelligence (ICAART), 40-47, 2023
82023
Lite: Light inception with boosting techniques for time series classification
A Ismail-Fawaz, M Devanne, S Berretti, J Weber, G Forestier
2023 IEEE 10th International Conference on Data Science and Advanced …, 2023
62023
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging
A Ismail-Fawaz, H Ismail Fawaz, F Petitjean, M Devanne, J Weber, ...
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2023
42023
Finding foundation models for time series classification with a pretext task
A Ismail-Fawaz, M Devanne, S Berretti, J Weber, G Forestier
arXiv preprint arXiv:2311.14534, 2023
12023
Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés Manuellement
A Ismail-Fawaz, M Devanne, J Weber, GR Forestier
ORASIS 2023, 2023
2023
LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles
A Ismail-Fawaz, M Devanne, S Berretti, J Weber, G Forestier
Reducing Complexity of Deep Learning for Time Series Classification Using New Hand-Crafted Convolution Filters
A Ismail-Fawaz, M Devanne, S Berretti, J Weber, G Forestier
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