Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. - Ali Ismail-Fawaz; Maxime Devanne; Jonathan Weber; Germain Forestier (IEEE Big Data, 2022)

ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging. - Ali Ismail-Fawaz; Hassan Ismail Fawaz; François Petitjean; Maxime Devanne; Jonathan Weber; Stefano Berretti; Geoffrey I. Webb; Germain Forestier (AALTD@ECML/PKDD, 2023)

LITE: Light Inception with boosTing tEchniques for Time Series Classification. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (DSAA, 2023)

Enhancing Time Series Classification with Self-Supervised Learning. - Ali Ismail-Fawaz; Maxime Devanne; Jonathan Weber; Germain Forestier (ICAART (3), 2023)

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. - 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 (CoRR, 2023)

Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (AALTD@ECML/PKDD, 2024)

COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification. - Oumaima Badi; Maxime Devanne; Ali Ismail-Fawaz; Javidan Abdullayev; Vincent Lemaire 001; Stefano Berretti; Jonathan Weber; Germain Forestier (IEEE Big Data, 2024)

LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (EGC, 2024)

A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (ICPRAI (2), 2024)

A Hands-on Introduction to Time Series Classification and Regression. - Anthony J. Bagnall; Matthew Middlehurst; Germain Forestier; Ali Ismail-Fawaz; Antoine Guillaume; David Guijo-Rubio; Chang Wei Tan; Angus Dempster; Geoffrey I. Webb (KDD, 2024)

Finding Foundation Models for Time Series Classification with a PreText Task. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (PAKDD (Workshops), 2024)

aeon: a Python toolkit for learning from time series. - Matthew Middlehurst; Ali Ismail-Fawaz; Antoine Guillaume; Christopher Holder; David Guijo-Rubio; Guzal Bulatova; Leonidas Tsaprounis; Lukasz Mentel; Martin Walter; Patrick Schäfer 001; Anthony J. Bagnall (CoRR, 2024)

Look Into the LITE in Deep Learning for Time Series Classification. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (CoRR, 2024)

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 (Comput. Vis. Image Underst., 2025)

Deep Learning For Time Series Analysis With Application On Human Motion. - Ali Ismail-Fawaz (CoRR, 2025)

Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (CoRR, 2025)