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Simulated Data Experiments for Time Series Classification Part 1:
  Accuracy Comparison with Default Settings

Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings

28 March 2017
A. Bagnall
A. Bostrom
J. Large
Jason Lines
ArXiv (abs)PDFHTML

Papers citing "Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings"

4 / 4 papers shown
Title
Forecasting large collections of time series: feature-based methods
Forecasting large collections of time series: feature-based methods
Li Li
Feng Li
Yanfei Kang
AI4TS
56
0
0
25 Sep 2023
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
38
1
0
27 Nov 2019
GRATIS: GeneRAting TIme Series with diverse and controllable
  characteristics
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Yanfei Kang
Rob J. Hyndman
Feng Li
AI4TS
78
106
0
07 Mar 2019
Feature-based time-series analysis
Feature-based time-series analysis
Ben D. Fulcher
AI4TS
103
132
0
23 Sep 2017
1