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ORCIDAnthony J. Bagnall
- > Home > Persons > Anthony J. Bagnall
Publications
- 2021
[j27]Alejandro Pasos Ruiz
, Michael Flynn, James Large, Matthew Middlehurst, Anthony J. Bagnall:
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Discov. 35(2): 401-449 (2021)- [j26]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): 3211-3243 (2021) - [i25]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) - [i24]Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall:
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. CoRR abs/2105.03841 (2021) - 2020
- [c43]Matthew Middlehurst, James Large, Anthony J. Bagnall:
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. IEEE BigData 2020: 188-195 - [c41]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: 3-18 - [c39]Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall:
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. ECML/PKDD (1) 2020: 660-676 - [i23]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) - [i22]Anthony J. Bagnall, Paul Southam, James Large, Richard W. Harvey:
Detecting Electric Devices in 3D Images of Bags. CoRR abs/2005.02163 (2020) - [i20]Matthew Middlehurst, James Large, Anthony J. Bagnall:
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. CoRR abs/2008.09172 (2020) - 2019
- [j24]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): 1674-1709 (2019) - [j23]James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard:
On time series classification with dictionary-based classifiers. Intell. Data Anal. 23(5): 1073-1089 (2019) - [c37]James Large, Paul Southam, Anthony J. Bagnall:
Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms? HAIS 2019: 50-60 - [c35]James Large, Anthony J. Bagnall:
Mixing Hetero- and Homogeneous Models in Weighted Ensembles. IDEAL (1) 2019: 129-136 - [i16]Anthony J. Bagnall, James Large, Matthew Middlehurst:
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers. CoRR abs/1911.12008 (2019) - 2018
- [c31]James Large, E. Kate Kemsley, Nikolaus Wellner, Ian Goodall, Anthony J. Bagnall:
Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine Learning. PAKDD (1) 2018: 298-309 - [i14]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) - [i13]James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard:
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. CoRR abs/1809.06751 (2018) - [i11]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) - [i10]James Large, Paul Southam, Anthony J. Bagnall:
Can automated smoothing significantly improve benchmark time series classification algorithms? CoRR abs/1811.00894 (2018) - 2017
- [j19]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): 606-660 (2017) - [i8]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) - [i7]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
- [i5]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)
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