Matthew Middlehurst

According to our database, Matthew Middlehurst authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A review and evaluation of elastic distance functions for time series clustering.

Christopher Holder, Matthew Middlehurst, Anthony J. Bagnall

Knowl. Inf. Syst., February, 2024

2023

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression.

David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall

CoRR, 2023

Bake off redux: a review and experimental evaluation of recent time series classification algorithms.

Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall

CoRR, 2023

Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression.

Matthew Middlehurst, Anthony J. Bagnall

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier.

Matthew Middlehurst, Anthony J. Bagnall

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021

HIVE-COTE 2.0: a new meta ensemble for time series classification.

Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall

Mach. Learn., 2021

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 J. Bagnall

Data Min. Knowl. Discov., 2021

2020

A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.

Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst

CoRR, 2020

The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification.

Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0).

Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

The Canonical Interval Forest (CIF) Classifier for Time Series Classification.

Matthew Middlehurst, James Large, Anthony J. Bagnall

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers.

Anthony J. Bagnall, James Large, Matthew Middlehurst

CoRR, 2019

A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency.

Anthony J. Bagnall, Franz J. Király, Markus Löning, Matthew Middlehurst, George Oastler

CoRR, 2019

Scalable Dictionary Classifiers for Time Series Classification.

Matthew Middlehurst, William Vickers, Anthony J. Bagnall

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019