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Matthew Middlehurst
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2020 – today
- 2024
- [j5]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): 1958-2031 (2024) - [j4]David Guijo-Rubio
, Matthew Middlehurst, Guilherme Arcencio
Unsupervised feature based algorithms for time series extrinsic regression. Data Min. Knowl. Discov. 38(4): 2141-2185 (2024) - [j3]Christopher Holder
A review and evaluation of elastic distance functions for time series clustering. Knowl. Inf. Syst. 66(2): 765-809 (2024) - [c7]Anthony J. Bagnall
A Hands-on Introduction to Time Series Classification and Regression. KDD 2024: 6410-6411 - [i12]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 abs/2406.14231 (2024) - 2023
- [c6]Matthew Middlehurst, Anthony J. Bagnall:
Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression. AALTD@ECML/PKDD 2023: 113-126 - [i11]Matthew Middlehurst, Patrick Schäfer, Anthony J. Bagnall:
Bake off redux: a review and experimental evaluation of recent time series classification algorithms. CoRR abs/2304.13029 (2023) - [i10]David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall:
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. CoRR abs/2305.01429 (2023) - 2022
- [c5]Matthew Middlehurst, Anthony J. Bagnall:
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier. ICPRAI (2) 2022: 150-161 - [i9]Matthew Middlehurst, Anthony J. Bagnall:
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier. CoRR abs/2201.12048 (2022) - [i8]Christopher Holder, Matthew Middlehurst, Anthony J. Bagnall:
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering. CoRR abs/2205.15181 (2022) - 2021
- [j2]Alejandro Pasos Ruiz
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Discov. 35(2): 401-449 (2021) - [j1]Matthew Middlehurst
HIVE-COTE 2.0: a new meta ensemble for time series classification. Mach. Learn. 110(11): 3211-3243 (2021) - [i7]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 abs/2104.07551 (2021) - [i6]Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall:
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. CoRR abs/2105.03841 (2021) - 2020
- [c4]Matthew Middlehurst
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. IEEE BigData 2020: 188-195 - [c3]Anthony J. Bagnall, Michael Flynn, James Large
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: 3-18 - [c2]Matthew Middlehurst
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. ECML/PKDD (1) 2020: 660-676 - [i5]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 abs/2004.06069 (2020) - [i4]Matthew Middlehurst, James Large, Anthony J. Bagnall:
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. CoRR abs/2008.09172 (2020)
2010 – 2019
- 2019
- [c1]Matthew Middlehurst
Scalable Dictionary Classifiers for Time Series Classification. IDEAL (1) 2019: 11-19 - [i3]Matthew Middlehurst, William Vickers, Anthony J. Bagnall:
Scalable Dictionary Classifiers for Time Series Classification. CoRR abs/1907.11815 (2019) - [i2]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 abs/1909.05738 (2019) - [i1]Anthony J. Bagnall, James Large, Matthew Middlehurst:
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers. CoRR abs/1911.12008 (2019)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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