Ali Ismail-Fawaz
Orcid: 0000-0001-5385-3339
According to our database1,
Ali Ismail-Fawaz authored at least 24 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification.
CoRR, March, 2026
Adaptive Structured Pruning of Convolutional Neural Networks for Time Series Classification.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026
A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning.
Proceedings of the 20th IEEE International Conference on Automatic Face and Gesture Recognition, 2026
2025
Int. J. Data Sci. Anal., October, 2025
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark.
CoRR, July, 2025
CoRR, February, 2025
Deep learning for time series analysis with application on human motion. (Apprentissage profond pour l'analyse des séries temporelles avec application au mouvement humain).
PhD thesis, 2025
Establishing a unified evaluation framework for human motion generation: A comparative analysis of metrics.
Comput. Vis. Image Underst., 2025
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
A Deep Dive into Alternatives to the Global Average Pooling for Time Series Classification.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2025
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2025
2024
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2024
LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles.
Proceedings of the Extraction et Gestion des Connaissances, 2024
Proceedings of the IEEE International Conference on Big Data, 2024
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2024
2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR, 2023
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.
Proceedings of the IEEE International Conference on Big Data, 2022