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Jason Lines
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2020 – today
- 2024
- [i11]Christopher Holder, Anthony J. Bagnall, Jason Lines:
On time series clustering with k-means. CoRR abs/2410.14269 (2024) - 2022
- [c13]Jason Lines
, George Oastler:
TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy. ICPRAI (2) 2022: 221-232 - 2021
- [j8]Matthew Middlehurst
HIVE-COTE 2.0: a new meta ensemble for time series classification. Mach. Learn. 110(11): 3211-3243 (2021) - [c12]Catherine Ives-Keeler, Oliver Buckley, Jason Lines
Understanding Trust in Social Media: Twitter. HCI (37) 2021: 440-447 - [i10]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 abs/2104.07551 (2021) - 2020
- [c11]Anthony J. Bagnall, Michael Flynn, James Large
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: 3-18 - [i9]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 abs/2004.06069 (2020)
2010 – 2019
- 2019
- [j7]James Large
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates. Data Min. Knowl. Discov. 33(6): 1674-1709 (2019) - [c10]William Vickers, B. Milner, R. Lee, Jason Lines
A comparison of machine learning methods for detecting right whales from autonomous surface vehicles. EUSIPCO 2019: 1-5 - [c9]George Oastler, Jason Lines
A Significantly Faster Elastic-Ensemble for Time-Series Classification. IDEAL (1) 2019: 446-453 - [i8]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 abs/1909.07872 (2019) - 2018
- [j6]Jason Lines
Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles. ACM Trans. Knowl. Discov. Data 12(5): 52:1-52:35 (2018) - [i7]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 abs/1809.06705 (2018) - [i6]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 abs/1811.00075 (2018) - 2017
- [j5]Anthony J. Bagnall
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Discov. 31(3): 606-660 (2017) - [i5]Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines:
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings. CoRR abs/1703.09480 (2017) - [i4]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 abs/1710.09220 (2017) - 2016
- [c8]Anthony J. Bagnall, Jason Lines
Time-series classification with COTE: The collective of transformation-based ensembles. ICDE 2016: 1548-1549 - [c7]Jason Lines
HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification. ICDM 2016: 1041-1046 - [i3]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 abs/1602.01711 (2016) - 2015
- [b1]Jason Lines:
Time Series classification through transformation and ensembles. University of East Anglia, Norwich, UK, 2015 - [j4]Jason Lines
Time series classification with ensembles of elastic distance measures. Data Min. Knowl. Discov. 29(3): 565-592 (2015) - [j3]Anthony J. Bagnall, Jason Lines
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles. IEEE Trans. Knowl. Data Eng. 27(9): 2522-2535 (2015) - 2014
- [j2]Jon Hills, Jason Lines
Classification of time series by shapelet transformation. Data Min. Knowl. Discov. 28(4): 851-881 (2014) - [c6]Jason Lines
Ensembles of Elastic Distance Measures for Time Series Classification. SDM 2014: 524-532 - [i2]Anthony J. Bagnall, Jason Lines:
An Experimental Evaluation of Nearest Neighbour Time Series Classification. CoRR abs/1406.4757 (2014) - [i1]Anthony J. Bagnall, Jon Hills, Jason Lines:
Finding Motif Sets in Time Series. CoRR abs/1407.3685 (2014) - 2013
- [c5]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: 138-143 - 2012
- [j1]Luke M. Davis, Barry-John Theobald, Jason Lines
On the Segmentation and Classification of Hand Radiographs. Int. J. Neural Syst. 22(5) (2012) - [c4]Jason Lines
Alternative Quality Measures for Time Series Shapelets. IDEAL 2012: 475-483 - [c3]Jason Lines
A shapelet transform for time series classification. KDD 2012: 289-297 - [c2]Anthony J. Bagnall, Luke M. Davis, Jon Hills, Jason Lines:
Transformation Based Ensembles for Time Series Classification. SDM 2012: 307-318 - 2011
- [c1]Jason Lines
Classification of Household Devices by Electricity Usage Profiles. IDEAL 2011: 403-412
Coauthor Index
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last updated on 2024-11-28 20:31 CET by the dblp team
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