Ali Ismail-Fawaz

100 %

Libre accès

Documents

Identifiants chercheurs

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

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

aeon: a Python Toolkit for Learning from Time Series

Matthew Middlehurst , Ali Ismail-Fawaz , Antoine Guillaume , Christopher Holder , David Guijo Rubio et al.

Journal of Machine Learning Research, 2024, 25 (289), pp.1--10

Article dans une revue hal-05644101v1

On the Post-Training Quantization of Deep Convolutional Neural Network for Time Series Classification

Cyril Meyer , Ali Ismail-Fawaz , Germain Forestier

11th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2026), Sep 2026, Naples, Italy

Communication dans un congrès hal-05757364v1

A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning

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

2026 IEEE 20th International Conference on Automatic Face and Gesture Recognition (FG), May 2026, Kyoto, Japan. pp.1-9, ⟨10.1109/FG67764.2026.11556986⟩

Communication dans un congrès hal-05689882v1

Re-framing Time Series Augmentation Through the Lens of Generative Models

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

Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2025, Porto, Portugal. pp.38-53, ⟨10.1007/978-3-032-15535-1_3⟩

Communication dans un congrès hal-05644127v1

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-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

COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification

Oumaima Badi , Maxime Devanne , Ali Ismail-Fawaz , Javidan Abdullayev , Vincent Lemaire et al.

IEEE International Conference on Big Data (BigData), Dec 2024, Washington, United States. pp.1229-1236, ⟨10.1109/BigData62323.2024.10825872⟩

Communication dans un congrès hal-04949077v1

ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging

Ali Ismail-Fawaz , Hassan Ismail Fawaz , François Petitjean , Maxime Devanne , Jonathan Weber et al.

ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2023, Torino, Italy. pp.127 - 142, ⟨10.1007/978-3-031-49896-1_9⟩

Communication dans un congrès hal-04949027v1

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

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

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

Deep learning for time series analysis with application on human motion

Ali El Hadi Ismail Fawaz

Artificial Intelligence [cs.AI]. Université de Haute Alsace - Mulhouse, 2025. English. ⟨NNT : 2025MULH7167⟩

Thèse tel-05164981v1

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