Matthew Middlehurst

Orcid: 0000-0002-3293-8779

According to our database1, Matthew Middlehurst authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
Data Min. Knowl. Discov., November, 2024

Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
Data Min. Knowl. Discov., July, 2024

Unsupervised feature based algorithms for time series extrinsic regression.
Data Min. Knowl. Discov., July, 2024

A review and evaluation of elastic distance functions for time series clustering.
Knowl. Inf. Syst., February, 2024

aeon: a Python toolkit for learning from time series.
CoRR, 2024

A Hands-on Introduction to Time Series Classification and Regression.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021
HIVE-COTE 2.0: a new meta ensemble for time series classification.
Mach. Learn., 2021

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
Data Min. Knowl. Discov., 2021

2020
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.
CoRR, 2020

The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification.
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).
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

The Canonical Interval Forest (CIF) Classifier for Time Series Classification.
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.
CoRR, 2019

A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency.
CoRR, 2019

Scalable Dictionary Classifiers for Time Series Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019


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