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Jason Lines

Orcid: 0000-0002-1496-5941

According to our database1, Jason Lines authored at least 30 papers between 2011 and 2022.

Collaborative distances:

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Bibliography

2022
TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy.
[BibTeX]
[DOI]
Jason Lines
,
George Oastler
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021
HIVE-COTE 2.0: a new meta ensemble for time series classification.
[BibTeX]
[DOI]
Matthew Middlehurst
,
James Large
,
Michael Flynn
,
Jason Lines
,
Aaron Bostrom
,
Anthony J. Bagnall
Mach. Learn., 2021

Understanding Trust in Social Media: Twitter.
[BibTeX]
[DOI]
Catherine Ives-Keeler
,
Oliver Buckley
,
Jason Lines
Proceedings of the HCI International 2021 - Posters - 23rd HCI International Conference, 2021

2020
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Michael Flynn
,
James Large
,
Jason Lines
,
Matthew Middlehurst
CoRR, 2020

On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0).
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Michael Flynn
,
James Large
,
Jason Lines
,
Matthew Middlehurst
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

2019
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates.
[BibTeX]
[DOI]
James Large
,
Jason Lines
,
Anthony J. Bagnall
Data Min. Knowl. Discov., 2019

sktime: A Unified Interface for Machine Learning with Time Series.
[BibTeX]
[DOI]
Markus Löning
,
Anthony J. Bagnall
,
Sajaysurya Ganesh
,
Viktor Kazakov
,
Jason Lines
,
Franz J. Király
CoRR, 2019

A Significantly Faster Elastic-Ensemble for Time-Series Classification.
[BibTeX]
[DOI]
George Oastler
,
Jason Lines
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

A comparison of machine learning methods for detecting right whales from autonomous surface vehicles.
[BibTeX]
[DOI]
William Vickers
,
B. Milner
,
R. Lee
,
Jason Lines
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles.
[BibTeX]
[DOI]
Jason Lines
,
Sarah Taylor
,
Anthony J. Bagnall
ACM Trans. Knowl. Discov. Data, 2018

The UEA multivariate time series classification archive, 2018.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Hoang Anh Dau
,
Jason Lines
,
Michael Flynn
,
James Large
,
Aaron Bostrom
,
Paul Southam
,
Eamonn J. Keogh
CoRR, 2018

Is rotation forest the best classifier for problems with continuous features?
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Aaron Bostrom
,
Gavin C. Cawley
,
Michael Flynn
,
James Large
,
Jason Lines
CoRR, 2018

2017
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Jason Lines
,
Aaron Bostrom
,
James Large
,
Eamonn J. Keogh
Data Min. Knowl. Discov., 2017

The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts.
[BibTeX]
[DOI]
James Large
,
Jason Lines
,
Anthony J. Bagnall
CoRR, 2017

Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Aaron Bostrom
,
James Large
,
Jason Lines
CoRR, 2017

2016
The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Aaron Bostrom
,
James Large
,
Jason Lines
CoRR, 2016

HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification.
[BibTeX]
[DOI]
Jason Lines
,
Sarah Taylor
,
Anthony J. Bagnall
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Time Series classification through transformation and ensembles.
[BibTeX]
[DOI]
Jason Lines
PhD thesis, 2015

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Jason Lines
,
Jon Hills
,
Aaron Bostrom
IEEE Trans. Knowl. Data Eng., 2015

Time series classification with ensembles of elastic distance measures.
[BibTeX]
[DOI]
Jason Lines
,
Anthony J. Bagnall
Data Min. Knowl. Discov., 2015

2014
Classification of time series by shapelet transformation.
[BibTeX]
[DOI]
Jon Hills
,
Jason Lines
,
Edgaras Baranauskas
,
James Mapp
,
Anthony J. Bagnall
Data Min. Knowl. Discov., 2014

An Experimental Evaluation of Nearest Neighbour Time Series Classification.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Jason Lines
CoRR, 2014

Finding Motif Sets in Time Series.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Jon Hills
,
Jason Lines
CoRR, 2014

Ensembles of Elastic Distance Measures for Time Series Classification.
[BibTeX]
[DOI]
Jason Lines
,
Anthony J. Bagnall
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013
Clupea Harengus: Intraspecies Distinction using Curvature Scale Space and Shapelets - Classification of North-sea and Thames Herring using Boundary Contour of Sagittal Otoliths.
[BibTeX]
James Mapp
,
Mark Fisher
,
Anthony J. Bagnall
,
Jason Lines
,
Sally Warne
,
Joe Scutt Phillips
Proceedings of the ICPRAM 2013, 2013

2012
On the Segmentation and Classification of Hand Radiographs.
[BibTeX]
[DOI]
Luke M. Davis
,
Barry-John Theobald
,
Jason Lines
,
Andoni Toms
,
Anthony J. Bagnall
Int. J. Neural Syst., 2012

Transformation Based Ensembles for Time Series Classification.
[BibTeX]
[DOI]
Anthony J. Bagnall
,
Luke M. Davis
,
Jon Hills
,
Jason Lines
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A shapelet transform for time series classification.
[BibTeX]
[DOI]
Jason Lines
,
Luke M. Davis
,
Jon Hills
,
Anthony J. Bagnall
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Alternative Quality Measures for Time Series Shapelets.
[BibTeX]
[DOI]
Jason Lines
,
Anthony J. Bagnall
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011
Classification of Household Devices by Electricity Usage Profiles.
[BibTeX]
[DOI]
Jason Lines
,
Anthony J. Bagnall
,
Patrick Caiger-Smith
,
Simon Anderson
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011


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