9
1
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/
|
|
Establishing a unified evaluation framework for human motion generation: A comparative analysis of metricsComputer Vision and Image Understanding, 2025, 254, pp.104337. ⟨10.1016/j.cviu.2025.104337⟩
Article dans une revue
hal-05142916
v1
|
|
|
Look into the LITE in deep learning for time series classificationInternational Journal of Data Science and Analytics, 2025, pp.1--21. ⟨10.1007/s41060-024-00708-5⟩
Article dans une revue
hal-04933061
v1
|
|
|
Enhancing Time Series Classification with Diversity-Driven Neural Network EnsemblesIEEE 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
|
|
|
Weighted Average of Human Motion Sequences for Improving Rehabilitation AssessmentECML/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
|
|
|
Finding Foundation Models for Time Series Classification with a PreText TaskPacific-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
|
|
|
A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural NetworksInternational 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
|
|
|
Enhancing Time Series Classification with Self-Supervised LearningInternational Conference on Agents and Artificial Intelligence (ICAART), Feb 2023, Lisbon, France. pp.40-47, ⟨10.5220/0011611300003393⟩
Communication dans un congrès
hal-04143083
v1
|
|
|
LITE: Light Inception with boosTing tEchniques for Time Series ClassificationIEEE 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
|
|
|
Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés ManuellementORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France
Communication dans un congrès
hal-04219450
v1
|
|
|
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution FiltersIEEE 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
|