Matthew Middlehurst

31 papers A* 1Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification.
CoRR
Matthew Middlehurst, Aiden Rushbrooke, Ali Ismail-Fawaz, Maxime Devanne, Germain Forestier, Angus Dempster, Geoffrey I. Webb, Christopher Holder, Anthony J. Bagnall
2026 J jnl
Time Series Machine Learning for Classifying Electroencephalograms.
J. Data-centric Mach. Learn. Res.
Aiden Rushbrooke, Saber Sami, Matthew Middlehurst, Tony Bagnall
2025 — conf
Channel Selection and Creation Algorithms for Electroencephalography Classification with HIVE-COTE.
HAIS (2)
Aiden Rushbrooke, Matthew Middlehurst, Saber Sami, Anthony J. Bagnall
2025 — conf
Time Series Machine Learning with Aeon: Classification and Regression.
ECML/PKDD (10)
Matthew Middlehurst, Anthony J. Bagnall, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume
2025 — conf
e-SMOTE: A Train Set Rebalancing Algorithm for Time Series Classification.
AALTD@ECML/PKDD
Chuanhang Qiu, Matthew Middlehurst, Christopher Holder, Anthony J. Bagnall
2024 A* conf
A Hands-on Introduction to Time Series Classification and Regression.
KDD
Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
2024 J jnl
A review and evaluation of elastic distance functions for time series clustering.
Knowl. Inf. Syst.
Christopher Holder, Matthew Middlehurst, Anthony J. Bagnall
2024 J jnl
Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
Data Min. Knowl. Discov.
Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall
2024 J jnl
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
Data Min. Knowl. Discov.
Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall
2024 J jnl
Unsupervised feature based algorithms for time series extrinsic regression.
Data Min. Knowl. Discov.
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
2024 J jnl
aeon: a Python Toolkit for Learning from Time Series.
J. Mach. Learn. Res.
Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall
2024 J jnl
aeon: a Python toolkit for learning from time series.
CoRR
Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall
2023 J jnl
Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
CoRR
Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall
2023 — conf
Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression.
AALTD@ECML/PKDD
Matthew Middlehurst, Anthony J. Bagnall
2023 J jnl
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression.
CoRR
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
2022 J jnl
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering.
CoRR
Christopher Holder, Matthew Middlehurst, Anthony J. Bagnall
2022 — conf
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier.
ICPRAI (2)
Matthew Middlehurst, Anthony J. Bagnall
2022 J jnl
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier.
CoRR
Matthew Middlehurst, Anthony J. Bagnall
2021 J jnl
HIVE-COTE 2.0: a new meta ensemble for time series classification.
CoRR
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
2021 J jnl
HIVE-COTE 2.0: a new meta ensemble for time series classification.
Mach. Learn.
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
2021 J jnl
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification.
CoRR
Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
2021 J jnl
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
Data Min. Knowl. Discov.
Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst, Anthony J. Bagnall
2020 J jnl
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.
CoRR
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
2020 — conf
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0).
AALTD@PKDD/ECML
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
2020 — conf
The Canonical Interval Forest (CIF) Classifier for Time Series Classification.
IEEE BigData
Matthew Middlehurst, James Large, Anthony J. Bagnall
2020 J jnl
The Canonical Interval Forest (CIF) Classifier for Time Series Classification.
CoRR
Matthew Middlehurst, James Large, Anthony J. Bagnall
2020 — conf
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification.
ECML/PKDD (1)
Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
2019 J jnl
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency.
CoRR
Anthony J. Bagnall, Franz J. Király, Markus Löning, Matthew Middlehurst, George Oastler
2019 J jnl
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers.
CoRR
Anthony J. Bagnall, James Large, Matthew Middlehurst
2019 — conf
Scalable Dictionary Classifiers for Time Series Classification.
IDEAL (1)
Matthew Middlehurst, William Vickers, Anthony J. Bagnall
2019 J jnl
Scalable Dictionary Classifiers for Time Series Classification.
CoRR
Matthew Middlehurst, William Vickers, Anthony J. Bagnall