Angus Dempster

According to our database, Angus Dempster authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

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

QUANT: A Minimalist Interval Method for Time Series Classification.

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

CoRR, 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