Items where Author is "Middlehurst, Matthew"

Article

Middlehurst, Matthew, Schäfer, Patrick and Bagnall, Anthony (2024) Bake off redux: A review and experimental evaluation of recent time series classification algorithms. Data Mining and Knowledge Discovery, 38 (4). pp. 1958-2031. ISSN 1384-5810

Middlehurst, Matthew, Large, James, Flynn, Michael, Lines, Jason, Bostrom, Aaron and Bagnall, Anthony (2021) HIVE-COTE 2.0: a new meta ensemble for time series classification. Machine Learning, 110. 3211–3243. ISSN 0885-6125

Pasos Ruiz, Alejandro, Flynn, Michael, Large, James, Middlehurst, Matthew and Bagnall, Anthony (2021) The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Mining and Knowledge Discovery, 35. 401–449. ISSN 1384-5810

Book Section

Middlehurst, Matthew, Large, James and Bagnall, Anthony (2021) The Canonical Interval Forest {(CIF)} Classifier for Time Series Classification. In: Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. The Institute of Electrical and Electronics Engineers (IEEE), USA, pp. 188-195. ISBN 978-1-7281-6252-2

Bagnall, Tony, Flynn, Michael, Large, James and Middlehurst, Matthew (2020) On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0). In: Lecture Notes in Computer Science. Springer, pp. 3-18. ISBN 978-3-030-65741-3

Middlehurst, Matthew, Vickers, William and Bagnall, Anthony (2019) Scalable Dictionary Classifiers for Time Series Classification. In: 20th International Conference on Intelligent Data Engineering and Automated Learning. Lecture Notes in Computer Science . Springer, pp. 11-19. ISBN 978-3-030-33606-6

Conference or Workshop Item

Middlehurst, Matthew, Large, James, Cawley, Gavin and Bagnall, Anthony (2021) The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020-09-14 - 2020-09-18.