关注
Ali Ismail-Fawaz
Ali Ismail-Fawaz
PhD Student
在 uha.fr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
122023
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
92022
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
72023
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
52023
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
32023
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
系统目前无法执行此操作，请稍后再试。
文章 1–9