Angus Dempster

According to our database, Angus Dempster authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Pruning Extensions and Efficiency Trade-Offs for Sustainable Time Series Classification.

Raphael Fischer, Angus Dempster, Sebastian Buschjäger, Matthias Jakobs, Urav Maniar, Geoffrey I. Webb

CoRR, April, 2026

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification.

Matthew Middlehurst, Aiden Rushbrooke, Ali Ismail-Fawaz, Maxime Devanne, Germain Forestier, Angus Dempster, Geoffrey I. Webb, Christopher Holder, Anthony J. Bagnall

CoRR, March, 2026

2025

MONSTER: Monash Scalable Time Series Evaluation Repository.

Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb

J. Data-centric Mach. Learn. Res., 2025

2024

quant: a minimalist interval method for time series classification.

Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb

Data Min. Knowl. Discov., July, 2024

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data.

Angus Dempster, Geoffrey I. Webb, Daniel F. Schmidt

CoRR, 2024

A Hands-on Introduction to Time Series Classification and Regression.

Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Highly Scalable Time Series Classification for Very Large Datasets.

Angus Dempster, Chang Wei Tan, Lynn Miller, Navid Mohammadi Foumani, Daniel F. Schmidt, Geoffrey I. Webb

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2024

2023

Hydra: competing convolutional kernels for fast and accurate time series classification.

Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb

Data Min. Knowl. Discov., September, 2023

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.

Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb

CoRR, 2023

2022

MultiRocket: multiple pooling operators and transformations for fast and effective time series classification.

Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb

Data Min. Knowl. Discov., 2022

2021

MultiRocket: Effective summary statistics for convolutional outputs in time series classification.

Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb

CoRR, 2021

MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification.

Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels.

Angus Dempster, François Petitjean, Geoffrey I. Webb

Data Min. Knowl. Discov., 2020