Classification of Household Devices by Electricity Usage Profiles. - Jason Lines; Anthony J. Bagnall; Patrick Caiger-Smith; Simon Anderson (IDEAL, 2011)

Alternative Quality Measures for Time Series Shapelets. - Jason Lines; Anthony J. Bagnall (IDEAL, 2012)

A shapelet transform for time series classification. - Jason Lines; Luke M. Davis; Jon Hills; Anthony J. Bagnall (KDD, 2012)

Transformation Based Ensembles for Time Series Classification. - Anthony J. Bagnall; Luke M. Davis; Jon Hills; Jason Lines (SDM, 2012)

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

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

Ensembles of Elastic Distance Measures for Time Series Classification. - Jason Lines; Anthony J. Bagnall (SDM, 2014)

Finding Motif Sets in Time Series. - Anthony J. Bagnall; Jon Hills; Jason Lines (CoRR, 2014)

An Experimental Evaluation of Nearest Neighbour Time Series Classification. - Anthony J. Bagnall; Jason Lines (CoRR, 2014)

Classification of time series by shapelet transformation. - Jon Hills; Jason Lines; Edgaras Baranauskas; James Mapp; Anthony J. Bagnall (Data Min. Knowl. Discov., 2014)

Time series classification with ensembles of elastic distance measures. - Jason Lines; Anthony J. Bagnall (Data Min. Knowl. Discov., 2015)

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

Time Series classification through transformation and ensembles. - Jason Lines (2015)

HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification. - Jason Lines; Sarah Taylor; Anthony J. Bagnall (ICDM, 2016)

The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version. - Anthony J. Bagnall; Aaron Bostrom; James Large; Jason Lines (CoRR, 2016)

Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings. - Anthony J. Bagnall; Aaron Bostrom; James Large; Jason Lines (CoRR, 2017)

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

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

Is rotation forest the best classifier for problems with continuous features? - Anthony J. Bagnall; Aaron Bostrom; Gavin C. Cawley; Michael Flynn; James Large; Jason Lines (CoRR, 2018)

The UEA multivariate time series classification archive, 2018. - Anthony J. Bagnall; Hoang Anh Dau; Jason Lines; Michael Flynn; James Large; Aaron Bostrom; Paul Southam; Eamonn J. Keogh (CoRR, 2018)

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

A comparison of machine learning methods for detecting right whales from autonomous surface vehicles. - William Vickers; B. Milner; R. Lee; Jason Lines (EUSIPCO, 2019)

A Significantly Faster Elastic-Ensemble for Time-Series Classification. - George Oastler; Jason Lines (IDEAL (1), 2019)

sktime: A Unified Interface for Machine Learning with Time Series. - Markus Löning; Anthony J. Bagnall; Sajaysurya Ganesh; Viktor Kazakov; Jason Lines; Franz J. Király (CoRR, 2019)

A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates. - James Large; Jason Lines; Anthony J. Bagnall (Data Min. Knowl. Discov., 2019)

On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0). - Anthony J. Bagnall; Michael Flynn; James Large; Jason Lines; Matthew Middlehurst (AALTD@PKDD/ECML, 2020)

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

Understanding Trust in Social Media: Twitter. - Catherine Ives-Keeler; Oliver Buckley; Jason Lines (HCI (37), 2021)

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

TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy. - Jason Lines; George Oastler (ICPRAI (2), 2022)

On time series clustering with k-means. - Christopher Holder; Anthony J. Bagnall; Jason Lines (CoRR, 2024)