Tony Bagnall
Tony Bagnall
Professor of Computer Science, University of East Anglia
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uea.ac.uk - Αρχική σελίδα
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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
9252017
The ucr time series classification archive
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
July, 2015
8102015
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
4332014
The next release problem
AJ Bagnall, VJ Rayward-Smith, IM Whittley
Information and software technology 43 (14), 883-890, 2001
4192001
Time series classification with ensembles of elastic distance measures
J Lines, A Bagnall
Data Mining and Knowledge Discovery 29 (3), 565-592, 2015
3752015
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
3722015
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
3372012
The UCR time series archive
HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
IEEE/CAA Journal of Automatica Sinica 6 (6), 1293-1305, 2019
3272019
Time series classification with HIVE-COTE: The hierarchical vote collective of transformation-based ensembles
J Lines, S Taylor, A Bagnall
ACM Transactions on Knowledge Discovery from Data 12 (5), 2018
1742018
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
1582005
A multiagent model of the UK market in electricity generation
AJ Bagnall, GD Smith
IEEE Transactions on Evolutionary Computation 9 (5), 522-536, 2005
1382005
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
1342012
Clustering time series from ARMA models with clipped data
AJ Bagnall, GJ Janacek
Proceedings of the tenth ACM SIGKDD international conference on knowledge …, 2004
1242004
Clustering time series with clipped data
A Bagnall, G Janacek
Machine learning 58 (2-3), 151-178, 2005
1212005
The UEA multivariate time series classification archive, 2018
A Bagnall, HA Dau, J Lines, M Flynn, J Large, A Bostrom, P Southam, ...
arXiv preprint arXiv:1811.00075, 2018
1162018
Hive-cote: The hierarchical vote collective of transformation-based ensembles for time series classification
J Lines, S Taylor, A Bagnall
2016 IEEE 16th international conference on data mining (ICDM), 1041-1046, 2016
1142016
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
1012006
The UEA & UCR time series classification repository
A Bagnall, J Lines, W Vickers, E Keogh
URL http://www. timeseriesclassification. com, 2018
772018
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
762003
sktime: A unified interface for machine learning with time series
M Löning, A Bagnall, S Ganesh, V Kazakov, J Lines, FJ Király
arXiv preprint arXiv:1909.07872, 2019
712019
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