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Michael Flynn
Michael Flynn
Machine Learning PhD Student at The University of East Anglia
Verified email at uea.ac.uk - Homepage
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Year
The UEA multivariate time series classification archive, 2018
A Bagnall, HA Dau, J Lines, M Flynn, J Large, A Bostrom, P Southam, ...
arXiv preprint arXiv:1811.00075, 2018
3772018
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
AP Ruiz, M Flynn, J Large, M Middlehurst, A Bagnall
Data Mining and Knowledge Discovery 35 (2), 401-449, 2021
3422021
HIVE-COTE 2.0: a new meta ensemble for time series classification
M Middlehurst, J Large, M Flynn, J Lines, A Bostrom, A Bagnall
Machine Learning 110 (11), 3211-3243, 2021
1722021
On the usage and performance of the hierarchical vote collective of transformation-based ensembles version 1.0 (hive-cote v1. 0)
A Bagnall, M Flynn, J Large, J Lines, M Middlehurst
Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop …, 2020
592020
The contract random interval spectral ensemble (c-RISE): the effect of contracting a classifier on accuracy
M Flynn, J Large, T Bagnall
Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS …, 2019
542019
Is rotation forest the best classifier for problems with continuous features?
A Bagnall, M Flynn, J Large, J Line, A Bostrom, G Cawley
arXiv preprint arXiv:1809.06705, 2018
452018
Benchmarking multivariate time series classification algorithms
AP Ruiz, M Flynn, A Bagnall
arXiv preprint arXiv:2007.13156, 2020
272020
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1. 0
A Bagnall, M Flynn, J Large, J Lines, M Middlehurst
arXiv preprint arXiv:2004.06069, 2020
262020
Classifying flies based on reconstructed audio signals
M Flynn, A Bagnall
Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019
52019
Classifying dangerous species of mosquito using machine learning
M Flynn
University of East Anglia, 2022
2022
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