Ali Ismail-Fawaz

30 papers A* 1B 4Journal 14Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Adaptive Structured Pruning of Convolutional Neural Networks for Time Series Classification.
ICAART (4)
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2026 J jnl
Adaptive Structured Pruning of Convolutional Neural Networks for Time Series Classification.
CoRR
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2026 J jnl
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles.
CoRR
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2026 J jnl
The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification.
CoRR
Matthew Middlehurst, Aiden Rushbrooke, Ali Ismail-Fawaz, Maxime Devanne, Germain Forestier, Angus Dempster, Geoffrey I. Webb, Christopher Holder, Anthony J. Bagnall
2025 — conf
A Deep Dive into Alternatives to the Global Average Pooling for Time Series Classification.
AALTD@ECML/PKDD
Cyril Meyer, Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier
2025 J jnl
Deep Learning For Time Series Analysis With Application On Human Motion.
CoRR
Ali Ismail-Fawaz
2025 J jnl
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
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).
Ali Ismail-Fawaz
2025 B conf
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles.
IJCNN
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier
2025 J jnl
Establishing a unified evaluation framework for human motion generation: A comparative analysis of metrics.
Comput. Vis. Image Underst.
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2025 J jnl
Look into the LITE in deep learning for time series classification.
Int. J. Data Sci. Anal.
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2025 — conf
Re-framing Time Series Augmentation Through the Lens of Generative Models.
AALTD@ECML/PKDD
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2025 — conf
Time Series Machine Learning with Aeon: Classification and Regression.
ECML/PKDD (10)
Matthew Middlehurst, Anthony J. Bagnall, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume
2024 A* conf
A Hands-on Introduction to Time Series Classification and Regression.
KDD
Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
2024 — conf
A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks.
ICPRAI (2)
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 B conf
COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification.
IEEE Big Data
Oumaima Badi, Maxime Devanne, Ali Ismail-Fawaz, Javidan Abdullayev, Vincent Lemaire, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 J jnl
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 — conf
Finding Foundation Models for Time Series Classification with a PreText Task.
PAKDD (Workshops)
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 — conf
LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles.
EGC
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 J jnl
Look Into the LITE in Deep Learning for Time Series Classification.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 — conf
Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.
AALTD@ECML/PKDD
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2024 J jnl
aeon: a Python Toolkit for Learning from Time Series.
J. Mach. Learn. Res.
Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall
2024 J jnl
aeon: a Python toolkit for learning from time series.
CoRR
Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall
2023 J jnl
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR
Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb
2023 — conf
Enhancing Time Series Classification with Self-Supervised Learning.
ICAART (3)
Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier
2023 J jnl
Finding Foundation Models for Time Series Classification with a PreText Task.
CoRR
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2023 B conf
LITE: Light Inception with boosTing tEchniques for Time Series Classification.
DSAA
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
2023 — conf
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
AALTD@ECML/PKDD
Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
2023 J jnl
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging.
CoRR
Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
2022 B conf
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.
IEEE Big Data
Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier