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A tale of two toolkits, report the first: benchmarking time series
  classification algorithms for correctness and efficiency
v1v2v3 (latest)

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

12 September 2019
A. Bagnall
Franz J. Király
M. Löning
Matthew Middlehurst
George Oastler
    AI4TS
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
Benchmarking Multivariate Time Series Classification Algorithms
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz
Michael Flynn
A. Bagnall
AI4TS
107
383
0
26 Jul 2020
A tale of two toolkits, report the third: on the usage and performance
  of HIVE-COTE v1.0
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0
A. Bagnall
Michael Flynn
J. Large
Jason Lines
Matthew Middlehurst
91
43
0
13 Apr 2020
A tale of two toolkits, report the second: bake off redux. Chapter 1.
  dictionary based classifiers
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers
A. Bagnall
J. Large
Matthew Middlehurst
AI4TS
49
1
0
27 Nov 2019
sktime: A Unified Interface for Machine Learning with Time Series
sktime: A Unified Interface for Machine Learning with Time Series
M. Löning
A. Bagnall
S. Ganesh
V. Kazakov
Jason Lines
Franz J. Király
SyDaAI4TS
72
233
0
17 Sep 2019
1