476 citations · 1.4k across the 13 of their papers we have counts for
14 papers
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
Matthew Middlehurst, James Large, Gavin Cawley +1
Using bag of words representations of time series is a popular approach to time series classification. These algorithms involve approximating and discretising windows over a series…
HIVE-COTE 2.0: a new meta ensemble for time series classification
Matthew Middlehurst, James Large, Michael Flynn +3
The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is a heterogeneous meta ensemble for time series classification. HIVE-COTE forms its ensemble from cl…
The Canonical Interval Forest (CIF) Classifier for Time Series Classification
Matthew Middlehurst, James Large, Anthony Bagnall
Time series classification (TSC) is home to a number of algorithm groups that utilise different kinds of discriminatory patterns. One of these groups describes classifiers that pre…
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz, Michael Flynn, Anthony Bagnall
Time Series Classification (TSC) involved building predictive models for a discrete target variable from ordered, real valued, attributes. Over recent years, a new set of TSC algor…
Detecting Electric Devices in 3D Images of Bags
Anthony Bagnall, Paul Southam, James Large +1
The aviation and transport security industries face the challenge of screening high volumes of baggage for threats and contraband in the minimum time possible. Automation and semi-…
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0
Anthony Bagnall, Michael Flynn, James Large +2
The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is a heterogeneous meta ensemble for time series classification. Since it was first proposed in 2016,…