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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
10372020
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
4622021
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
1902022
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
682023
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
292023
quant: a minimalist interval method for time series classification
A Dempster, DF Schmidt, GI Webb
Data Mining and Knowledge Discovery 38 (4), 2377-2402, 2024
132024
A hands-on introduction to time series classification and regression
A Bagnall, M Middlehurst, G Forestier, A Ismail-Fawaz, A Guillaume, ...
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
22024
Highly Scalable Time Series Classification for Very Large Datasets
A Dempster, CW Tan, L Miller, NM Foumani, DF Schmidt, GI Webb
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2024
12024
MONSTER: Monash Scalable Time Series Evaluation Repository
A Dempster, NM Foumani, CW Tan, L Miller, A Mishra, M Salehi, ...
arXiv preprint arXiv:2502.15122, 2025
2025
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
AH DEMPSTER
Monash University, 2022
2022
Highly Scalable Time Series Classification
A Dempster, CW Tan, L Miller
Advanced Analytics and Learning on Temporal Data: 9th ECML PKDD Workshop …, 0
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