Ali Ismail-Fawaz

Identifiants chercheurs

IdHAL :

ali-ismail-fawaz

ORCID :

0000-0001-5385-3339

arXiv :

ismailfawaz_a_1

Présentation

I am an Associate Professor in Computer Science at the Universite de Haute-Alsace, lecturer at ENSISA and researcher at IRIMAS institute in the MSD team, specializing in time series analysis. My research explores time series machine learning, focusing on tasks such as classification, regression, clustering, and generation, with a particular specialty in deep learning. The applications of my work span human motion sequences, remote sensing, and medical domains.

For more details, visit my website: https://hadifawaz1999.github.io/

Publications

Article dans une revue (2)

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 Computer Vision and Image Understanding, 2025, 254, pp.104337. ⟨10.1016/j.cviu.2025.104337⟩ Article dans une revue hal-05142916v1
Look into the LITE in deep learning for time series classification Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier International Journal of Data Science and Analytics, 2025, pp.1--21. ⟨10.1007/s41060-024-00708-5⟩ Article dans une revue hal-04933061v1

Communication dans un congrès (8)

Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles Javidan Abdullayev,Maxime Devanne,Cyril Meyer,Ali Ismail-Fawaz,Jonathan Weberet al. IEEE International Joint Conference on Neural Networks (IJCNN), Jun 2025, Rome, France. pp.1-10, ⟨10.1109/IJCNN64981.2025.11228372⟩ Communication dans un congrès hal-05407023v1
A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Jul 2024, Jeju Island, South Korea. pp.166 - 181, ⟨10.1007/978-981-97-8705-0_11⟩ Communication dans un congrès hal-04946867v1
Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2024, Vilnius, Lithuania. pp.131 - 146, ⟨10.1007/978-3-031-77066-1_8⟩ Communication dans un congrès hal-04949058v1
Finding Foundation Models for Time Series Classification with a PreText Task Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) - International Workshop on Temporal Analytics, May 2024, Taipei, Taiwan. pp.123 - 135, ⟨10.1007/978-981-97-2650-9_10⟩ Communication dans un congrès hal-04946870v1
LITE: Light Inception with boosTing tEchniques for Time Series Classification Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2023, Thessaloniki, France. pp.1-10, ⟨10.1109/dsaa60987.2023.10302569⟩ Communication dans un congrès hal-04535657v1
Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés Manuellement Ali Ismail-Fawaz,Maxime Devanne,Jonathan Weber,Germain Forestier ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France Communication dans un congrès hal-04219450v1
Enhancing Time Series Classification with Self-Supervised Learning Ali Ismail-Fawaz,Maxime Devanne,Jonathan Weber,Germain Forestier International Conference on Agents and Artificial Intelligence (ICAART), Feb 2023, Lisbon, France. pp.40-47, ⟨10.5220/0011611300003393⟩ Communication dans un congrès hal-04143083v1
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters Ali Ismail-Fawaz,Maxime Devanne,Jonathan Weber,Germain Forestier IEEE International Conference on Big Data (Big Data), Dec 2022, Osaka, Japan. pp.972-981, ⟨10.1109/bigdata55660.2022.10020496⟩ Communication dans un congrès hal-04143093v1