Tony Bagnall
Tony Bagnall
Professor of Computer Science, University of East Anglia
Verified email at uea.ac.uk - Homepage
TitleCited byYear
The ucr time series classification archive
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
July, 2015
4822015
The next release problem
AJ Bagnall, VJ Rayward-Smith, IM Whittley
Information and software technology 43 (14), 883-890, 2001
3602001
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
A Bagnall, J Lines, A Bostrom, J Large, E Keogh
Data Mining and Knowledge Discovery 31 (3), 606-660, 2017
347*2017
Classification of time series by shapelet transformation
J Hills, J Lines, E Baranauskas, J Mapp, A Bagnall
Data Mining and Knowledge Discovery 28 (4), 851-881, 2014
2402014
A shapelet transform for time series classification
J Lines, LM Davis, J Hills, A Bagnall
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
2162012
Time-series classification with COTE: the collective of transformation-based ensembles
A Bagnall, J Lines, J Hills, A Bostrom
IEEE Transactions on Knowledge and Data Engineering 27 (9), 2522-2535, 2015
1922015
Time series classification with ensembles of elastic distance measures
J Lines, A Bagnall
Data Mining and Knowledge Discovery 29 (3), 565-592, 2015
1862015
A multiagent model of the UK market in electricity generation
AJ Bagnall, GD Smith
IEEE Transactions on Evolutionary Computation 9 (5), 522-536, 2005
1272005
A novel bit level time series representation with implication of similarity search and clustering
C Ratanamahatana, E Keogh, AJ Bagnall, S Lonardi
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 771-777, 2005
1172005
Clustering time series from ARMA models with clipped data
AJ Bagnall, GJ Janacek
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
1112004
Transformation based ensembles for time series classification
A Bagnall, L Davis, J Hills, J Lines
Proceedings of the 2012 SIAM international conference on data mining, 307-318, 2012
1002012
Clustering time series with clipped data
A Bagnall, G Janacek
Machine Learning 58 (2-3), 151-178, 2005
922005
A bit level representation for time series data mining with shape based similarity
A Bagnall, E Keogh, S Lonardi, G Janacek
Data Mining and Knowledge Discovery 13 (1), 11-40, 2006
892006
The UCR time series classification archive (2015)
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
URL: www. cs. ucr. edu/~ eamonn/time_series_data, 2015
742015
Data mining rules using multi-objective evolutionary algorithms
B De La Iglesia, MS Philpott, AJ Bagnall, VJ Rayward-Smith
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 1552-1559, 2003
642003
Learning classifier system ensembles with rule-sharing
L Bull, M Studley, A Bagnall, I Whittley
IEEE transactions on evolutionary computation 11 (4), 496-502, 2007
602007
Classification of household devices by electricity usage profiles
J Lines, A Bagnall, P Caiger-Smith, S Anderson
International Conference on Intelligent Data Engineering and Automated …, 2011
502011
A multi-adaptive agent model of generator bidding in the UK market in electricity
AJ Bagnall
Proceedings of the 2nd Annual Conference on Genetic and Evolutionary …, 2000
472000
An experimental evaluation of nearest neighbour time series classification
A Bagnall, J Lines
arXiv preprint arXiv:1406.4757, 2014
412014
Autonomous adaptive agents for single seller sealed bid auctions
A Bagnall, I Toft
Autonomous Agents and Multi-Agent Systems 12 (3), 259-292, 2006
372006
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