Ali Ismail-Fawaz

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Libre accès
10
Documents

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/

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Publications

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Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles

Javidan Abdullayev , Maxime Devanne , Cyril Meyer , Ali Ismail-Fawaz , Jonathan Weber et 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-05407023 v1
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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-04949058 v1
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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-04946870 v1
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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-04946867 v1
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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-04143083 v1
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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-04535657 v1
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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-04219450 v1
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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-04143093 v1