Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics

1 code implementation • 13 May 2024 • Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier

The development of generative artificial intelligence for human motion generation has expanded rapidly, necessitating a unified evaluation framework.

Finding Foundation Models for Time Series Classification with a PreText Task

1 code implementation • 24 Nov 2023 • Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier

Over the past decade, Time Series Classification (TSC) has gained an increasing attention.

Time Series Time Series Classification

ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging

1 code implementation • 28 Sep 2023 • Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier

Our approach uses a new form of time series average, the ShapeDTW Barycentric Average.

Clustering Dynamic Time Warping +2

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

2 code implementations • 19 May 2023 • 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

The measurement of progress using benchmarks evaluations is ubiquitous in computer science and machine learning.