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Matthew Middlehurst

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

most citedA tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency

7 citations · 8 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2021

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…

cs.LG2019★ 1 cited

A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers

Anthony Bagnall, James Large, Matthew Middlehurst

Time series classification (TSC) is the problem of learning labels from time dependent data. One class of algorithms is derived from a bag of words approach. A window is run along…

cs.LG2019★ 7 cited

A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency

Anthony Bagnall, Franz Király, Markus Löning +2

sktime is an open source, Python based, sklearn compatible toolkit for time series analysis developed by researchers at the University of East Anglia (UEA), University College Lond…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.