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

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

19 May 2023

Ali Ismail-Fawaz

Matthieu Herrmann

Daniel F. Schmidt

Stefano Berretti

Germain Forestier

Geoffrey I. Webb

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

6 / 6 papers shown

Title
Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data Ferdinand Rewicki Joachim Denzler Julia Niebling 27 0 0 13 Jan 2025
Time series classification with random convolution kernels: pooling operators and input representations matter Mouhamadou Mansour Lo Gildas Morvan Mathieu Rossi Fabrice Morganti David Mercier AI4TS 24 0 0 02 Sep 2024
Finding Foundation Models for Time Series Classification with a PreText Task Ali Ismail-Fawaz Maxime Devanne Stefano Berretti Jonathan Weber Germain Forestier 18 5 0 24 Nov 2023
QUANT: A Minimalist Interval Method for Time Series Classification Angus Dempster Daniel F. Schmidt Geoffrey I. Webb AI4TS 17 8 0 02 Aug 2023
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression David Guijo Rubio Matthew Middlehurst Guilherme G. Arcencio Diego Furtado Silva A. Bagnall AI4TS 21 9 0 02 May 2023
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 85 1,058 0 11 Sep 2019