Matthew Middlehurst

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Experimental Evaluation

Classification Algorithm

Accurate Classifiers

Distance Function

Top Venues

Data Min. Knowl. Discov.

Publications

Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
A Hands-on Introduction to Time Series Classification and Regression. KDD (2024)
Christopher Holder, Matthew Middlehurst, Anthony J. Bagnall
A review and evaluation of elastic distance functions for time series clustering. Knowl. Inf. Syst. 66 (2) (2024)
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
aeon: a Python toolkit for learning from time series. CoRR (2024)
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
Unsupervised feature based algorithms for time series extrinsic regression. Data Min. Knowl. Discov. 38 (4) (2024)
Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall
Bake off redux: a review and experimental evaluation of recent time series classification algorithms. Data Min. Knowl. Discov. 38 (4) (2024)
Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall
Bake off redux: a review and experimental evaluation of recent time series classification algorithms. CoRR (2023)
Matthew Middlehurst, Anthony J. Bagnall
Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression. AALTD@ECML/PKDD (2023)
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. CoRR (2023)
Matthew Middlehurst, Anthony J. Bagnall
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier. CoRR (2022)
Matthew Middlehurst, Anthony J. Bagnall
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier. ICPRAI (2) (2022)
Chris Holder, Matthew Middlehurst, Anthony J. Bagnall
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering. CoRR (2022)
Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. CoRR (2021)
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
HIVE-COTE 2.0: a new meta ensemble for time series classification. Mach. Learn. 110 (11) (2021)
Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst, Anthony J. Bagnall
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Discov. 35 (2) (2021)
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
HIVE-COTE 2.0: a new meta ensemble for time series classification. CoRR (2021)
Matthew Middlehurst, James Large, Anthony J. Bagnall
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. IEEE BigData (2020)
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0. CoRR (2020)
Matthew Middlehurst, James Large, Anthony J. Bagnall
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. CoRR (2020)
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0). AALTD@PKDD/ECML (2020)
Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. ECML/PKDD (1) (2020)
Matthew Middlehurst, William Vickers, Anthony J. Bagnall
Scalable Dictionary Classifiers for Time Series Classification. CoRR (2019)
Anthony J. Bagnall, James Large, Matthew Middlehurst
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers. CoRR (2019)
Anthony J. Bagnall, Franz J. Király, Markus Löning, Matthew Middlehurst, George Oastler
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency. CoRR (2019)
Matthew Middlehurst, William Vickers, Anthony J. Bagnall
Scalable Dictionary Classifiers for Time Series Classification. IDEAL (1) (2019)