Jason Lines

ORCID

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 21

Top Venues

CoRR

Data Min. Knowl. Discov.

Mach. Learn.

SDM

University of East Anglia, Norwich, UK (PHD)

Education History

University of East Anglia, Norwich, UK

PHD

Publications

Jason Lines, George Oastler
TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy. ICPRAI (2) (2022)
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
HIVE-COTE 2.0: a new meta ensemble for time series classification. Mach. Learn. 110 (11) (2021)
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
HIVE-COTE 2.0: a new meta ensemble for time series classification. CoRR (2021)
Catherine Ives-Keeler, Oliver Buckley, Jason Lines
Understanding Trust in Social Media: Twitter. HCI (37) (2021)
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0. CoRR (2020)
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0). AALTD@PKDD/ECML (2020)
James Large, Jason Lines, Anthony J. Bagnall
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates. Data Min. Knowl. Discov. 33 (6) (2019)
William Vickers, B. Milner, R. Lee, Jason Lines
A comparison of machine learning methods for detecting right whales from autonomous surface vehicles. EUSIPCO (2019)
George Oastler, Jason Lines
A Significantly Faster Elastic-Ensemble for Time-Series Classification. IDEAL (1) (2019)
Markus Löning, Anthony J. Bagnall, Sajaysurya Ganesh, Viktor Kazakov, Jason Lines, Franz J. Király
sktime: A Unified Interface for Machine Learning with Time Series. CoRR (2019)
Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines
Is rotation forest the best classifier for problems with continuous features? CoRR (2018)
Jason Lines, Sarah Taylor, Anthony J. Bagnall
Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles. ACM Trans. Knowl. Discov. Data 12 (5) (2018)
Anthony J. Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, Eamonn J. Keogh
The UEA multivariate time series classification archive, 2018. CoRR (2018)
Anthony J. Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn J. Keogh
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Discov. 31 (3) (2017)
James Large, Jason Lines, Anthony J. Bagnall
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts. CoRR (2017)
Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings. CoRR (2017)
Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines
The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version. CoRR (2016)
Jason Lines, Sarah Taylor, Anthony J. Bagnall
HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification. ICDM (2016)
Anthony J. Bagnall, Jason Lines, Jon Hills, Aaron Bostrom
Time-series classification with COTE: The collective of transformation-based ensembles. ICDE (2016)
Jason Lines, Anthony J. Bagnall
Time series classification with ensembles of elastic distance measures. Data Min. Knowl. Discov. 29 (3) (2015)
Anthony J. Bagnall, Jason Lines, Jon Hills, Aaron Bostrom
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles. IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Jason Lines, Anthony J. Bagnall
Ensembles of Elastic Distance Measures for Time Series Classification. SDM (2014)
Anthony J. Bagnall, Jon Hills, Jason Lines
Finding Motif Sets in Time Series. CoRR (2014)
Anthony J. Bagnall, Jason Lines
An Experimental Evaluation of Nearest Neighbour Time Series Classification. CoRR (2014)
Jon Hills, Jason Lines, Edgaras Baranauskas, James Mapp, Anthony J. Bagnall
Classification of time series by shapelet transformation. Data Min. Knowl. Discov. 28 (4) (2014)
James Mapp, Mark Fisher, Anthony J. Bagnall, Jason Lines, Sally Warne, Joe Scutt Phillips
Clupea Harengus: Intraspecies Distinction using Curvature Scale Space and Shapelets - Classification of North-sea and Thames Herring using Boundary Contour of Sagittal Otoliths. ICPRAM (2013)
Luke M. Davis, Barry-John Theobald, Jason Lines, Andoni Toms, Anthony J. Bagnall
On the Segmentation and Classification of Hand Radiographs. Int. J. Neural Syst. 22 (5) (2012)
Jason Lines, Anthony J. Bagnall
Alternative Quality Measures for Time Series Shapelets. IDEAL (2012)
Jason Lines, Luke M. Davis, Jon Hills, Anthony J. Bagnall
A shapelet transform for time series classification. KDD (2012)
Anthony J. Bagnall, Luke M. Davis, Jon Hills, Jason Lines
Transformation Based Ensembles for Time Series Classification. SDM (2012)
Jason Lines, Anthony J. Bagnall, Patrick Caiger-Smith, Simon Anderson
Classification of Household Devices by Electricity Usage Profiles. IDEAL (2011)

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Publication Activity (10 Years)

Top Topics

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Jason Lines