Jason Lines

34 papers A* 3A 2C 4Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 C conf
Quality Assurance for Home Spirometry using Machine Learning.
ISCC
Darcey Gardiner, Harry Rogers, Jason Lines, Andrew Wilson, Min Hane Aung
2024 J jnl
On time series clustering with k-means.
CoRR
Christopher Holder, Anthony J. Bagnall, Jason Lines
2022 — conf
TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy.
ICPRAI (2)
Jason Lines, George Oastler
2021 J jnl
HIVE-COTE 2.0: a new meta ensemble for time series classification.
CoRR
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
2021 J jnl
HIVE-COTE 2.0: a new meta ensemble for time series classification.
Mach. Learn.
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
2021 — conf
Understanding Trust in Social Media: Twitter.
HCI (37)
Catherine Ives-Keeler, Oliver Buckley, Jason Lines
2020 J jnl
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.
CoRR
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
2020 — conf
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0).
AALTD@PKDD/ECML
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
2019 — conf
A Significantly Faster Elastic-Ensemble for Time-Series Classification.
IDEAL (1)
George Oastler, Jason Lines
2019 — conf
A comparison of machine learning methods for detecting right whales from autonomous surface vehicles.
EUSIPCO
William Vickers, B. Milner, R. Lee, Jason Lines
2019 J jnl
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates.
Data Min. Knowl. Discov.
James Large, Jason Lines, Anthony J. Bagnall
2019 J jnl
sktime: A Unified Interface for Machine Learning with Time Series.
CoRR
Markus Löning, Anthony J. Bagnall, Sajaysurya Ganesh, Viktor Kazakov, Jason Lines, Franz J. Király
2018 J jnl
Is rotation forest the best classifier for problems with continuous features?
CoRR
Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines
2018 J jnl
The UEA multivariate time series classification archive, 2018.
CoRR
Anthony J. Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, Eamonn J. Keogh
2018 J jnl
Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles.
ACM Trans. Knowl. Discov. Data
Jason Lines, Sarah Taylor, Anthony J. Bagnall
2017 J jnl
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings.
CoRR
Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines
2017 J jnl
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts.
CoRR
James Large, Jason Lines, Anthony J. Bagnall
2017 J jnl
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
Data Min. Knowl. Discov.
Anthony J. Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn J. Keogh
2016 A* conf
HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification.
ICDM
Jason Lines, Sarah Taylor, Anthony J. Bagnall
2016 J jnl
The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version.
CoRR
Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines
2016 A* conf
Time-series classification with COTE: The collective of transformation-based ensembles.
ICDE
Anthony J. Bagnall, Jason Lines, Jon Hills, Aaron Bostrom
2015 — —
Time Series classification through transformation and ensembles.
Jason Lines
2015 J jnl
Time series classification with ensembles of elastic distance measures.
Data Min. Knowl. Discov.
Jason Lines, Anthony J. Bagnall
2015 J jnl
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles.
IEEE Trans. Knowl. Data Eng.
Anthony J. Bagnall, Jason Lines, Jon Hills, Aaron Bostrom
2014 J jnl
An Experimental Evaluation of Nearest Neighbour Time Series Classification.
CoRR
Anthony J. Bagnall, Jason Lines
2014 J jnl
Classification of time series by shapelet transformation.
Data Min. Knowl. Discov.
Jon Hills, Jason Lines, Edgaras Baranauskas, James Mapp, Anthony J. Bagnall
2014 A conf
Ensembles of Elastic Distance Measures for Time Series Classification.
SDM
Jason Lines, Anthony J. Bagnall
2014 J jnl
Finding Motif Sets in Time Series.
CoRR
Anthony J. Bagnall, Jon Hills, Jason Lines
2013 C conf
Clupea Harengus: Intraspecies Distinction using Curvature Scale Space and Shapelets - Classification of North-sea and Thames Herring using Boundary Contour of Sagittal Otoliths.
ICPRAM
James Mapp, Mark Fisher, Anthony J. Bagnall, Jason Lines, Sally Warne, Joe Scutt Phillips
2012 A* conf
A shapelet transform for time series classification.
KDD
Jason Lines, Luke M. Davis, Jon Hills, Anthony J. Bagnall
2012 C conf
Alternative Quality Measures for Time Series Shapelets.
IDEAL
Jason Lines, Anthony J. Bagnall
2012 J jnl
On the Segmentation and Classification of Hand Radiographs.
Int. J. Neural Syst.
Luke M. Davis, Barry-John Theobald, Jason Lines, Andoni Toms, Anthony J. Bagnall
2012 A conf
Transformation Based Ensembles for Time Series Classification.
SDM
Anthony J. Bagnall, Luke M. Davis, Jon Hills, Jason Lines
2011 C conf
Classification of Household Devices by Electricity Usage Profiles.
IDEAL
Jason Lines, Anthony J. Bagnall, Patrick Caiger-Smith, Simon Anderson