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Angus Dempster
Angus Dempster
Monash University
Verified email at monash.edu
Title
Cited by
Cited by
Year
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
A Dempster, F Petitjean, GI Webb
Data Mining and Knowledge Discovery 34 (5), 1454-1495, 2020
6892020
Minirocket: A very fast (almost) deterministic transform for time series classification
A Dempster, DF Schmidt, GI Webb
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
2942021
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification
CW Tan, A Dempster, C Bergmeir, GI Webb
Data Mining and Knowledge Discovery 36 (5), 1623-1646, 2022
116*2022
Hydra: Competing convolutional kernels for fast and accurate time series classification
A Dempster, DF Schmidt, GI Webb
Data Mining and Knowledge Discovery 37 (5), 1779-1805, 2023
292023
An approach to multiple comparison benchmark evaluations that is stable under manipulation of the comparate set
A Ismail-Fawaz, A Dempster, CW Tan, M Herrmann, L Miller, DF Schmidt, ...
arXiv preprint arXiv:2305.11921, 2023
122023
QUANT: A Minimalist Interval Method for Time Series Classification
A Dempster, DF Schmidt, GI Webb
arXiv preprint arXiv:2308.00928, 2023
12023
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
A Dempster, GI Webb, DF Schmidt
arXiv preprint arXiv:2401.15610, 2024
2024
Scalable Methods for Time Series Classification
A Dempster
Monash University, 2022
2022
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