The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts

25 October 2017

Papers citing "The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts"

9 / 9 papers shown

Title
HIVE-COTE 2.0: a new meta ensemble for time series classification Matthew Middlehurst J. Large Michael Flynn Jason Lines A. Bostrom A. Bagnall AI4TS 113 250 0 15 Apr 2021
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 79 38 0 01 Oct 2020
Benchmarking Multivariate Time Series Classification Algorithms Alejandro Pasos Ruiz Michael Flynn A. Bagnall AI4TS 110 383 0 26 Jul 2020
Detecting Electric Devices in 3D Images of Bags A. Bagnall Paul Southam J. Large Richard Harvey 11 1 0 25 Apr 2020
GENDIS: GENetic DIscovery of Shapelets Gilles Vandewiele F. Ongenae F. Turck AI4TS 60 12 0 13 Sep 2019
Scalable Dictionary Classifiers for Time Series Classification Matthew Middlehurst William D. Vickers A. Bagnall 65 62 0 26 Jul 2019
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification Ahmed Shifaz Charlotte Pelletier F. Petitjean Geoffrey I. Webb AI4TS 102 186 0 25 Jun 2019
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 376 2,729 0 12 Sep 2018
A Shapelet Transform for Multivariate Time Series Classification A. Bostrom A. Bagnall AI4TS 31 21 0 18 Dec 2017