Research Research interests Time series classification, regression and clustering Publications 4 publications Page 1 of 1 A review and evaluation of elastic distance functions for time series clustering Christopher Holder, Matthew Middlehurst & Anthony Bagnall, 2024, Knowledge and Information Systems, 66(2), 765-809 DOI: 10.1007/s10115-023-01952-0 Type: review A hands-on introduction to time series classification and regression Anthony Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster & Geoffrey I. Webb, 2024 DOI: 10.1145/3637528.3671443 Type: conference HIVE-COTE 2.0: a new meta ensemble for time series classification Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom & Anthony Bagnall, 2021, Machine Learning, 110, 3211-3243 DOI: 10.1007/s10994-021-06057-9 Type: article The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst & Anthony Bagnall, 2020, Data Mining and Knowledge Discovery, 35, 401-449 DOI: 10.1007/s10618-020-00727-3 Type: article