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George Oastler
George Oastler
PhD Candidate
Verified email at uea.ac.uk - Homepage
Title
Cited by
Cited by
Year
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
A Bagnall, F Király, M Löning, M Middlehurst, G Oastler
arXiv preprint arXiv:1909.05738, 2019
92019
A significantly faster elastic-ensemble for time-series classification
G Oastler, J Lines
Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019
52019
TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy
J Lines, G Oastler
International Conference on Pattern Recognition and Artificial Intelligence …, 2022
12022
Towards State-of-the-art On-chip Time Series Classification
G Oastler, J Lines, T Bagnall
School of Computing Sciences, Postgraduate Research Day 2018: Book of Abstracts, 0
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Articles 1–4