Anthony J. Bagnall
Orcid: 0000-0003-2360-8994Affiliations:
- University of East Anglia, School of Computing Sciences, Norwich, UK
According to our database1,
Anthony J. Bagnall
authored at least 97 papers
between 1997 and 2024.
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Bibliography
2024
Knowl. Inf. Syst., February, 2024
2023
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification.
CoRR, 2023
CoRR, 2023
Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
CoRR, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023
Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022
Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022
2021
Mach. Learn., 2021
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
Data Min. Knowl. Discov., 2021
2020
An ultra-fast time series distance measure to allow data mining in more complex real-world deployments.
Data Min. Knowl. Discov., 2020
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.
CoRR, 2020
Proceedings of the Artificial Intelligence XXXVII, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0).
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Intell. Data Anal., 2019
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates.
Data Min. Knowl. Discov., 2019
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers.
CoRR, 2019
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency.
CoRR, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
2018
Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles.
ACM Trans. Knowl. Discov. Data, 2018
Optimizing dynamic time warping's window width for time series data mining applications.
Data Min. Knowl. Discov., 2018
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers.
CoRR, 2018
CoRR, 2018
Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios.
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Trans. Large Scale Data Knowl. Centered Syst., 2017
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
Data Min. Knowl. Discov., 2017
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts.
CoRR, 2017
On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms.
CoRR, 2017
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings.
CoRR, 2017
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version.
CoRR, 2016
HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles.
IEEE Trans. Knowl. Data Eng., 2015
Data Min. Knowl. Discov., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Data Min. Knowl. Discov., 2014
CoRR, 2014
Predictive Modelling of Bone Age through Classification and Regression of Bone Shapes.
CoRR, 2014
J. Classif., 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
2013
J. Intell. Inf. Syst., 2013
Clupea Harengus: Intraspecies Distinction using Curvature Scale Space and Shapelets - Classification of North-sea and Thames Herring using Boundary Contour of Sagittal Otoliths.
Proceedings of the ICPRAM 2013, 2013
2012
Int. J. Neural Syst., 2012
Int. J. Data Min. Model. Manag., 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
2010
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010
2009
Adapt. Behav., 2009
2008
Time Series Data Mining Algorithms for Identifying Short RNA in Arabidopsis thaliana.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008
2007
IEEE Trans. Evol. Comput., 2007
Int. J. Data Warehous. Min., 2007
Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2007
2006
Data Min. Knowl. Discov., 2006
Auton. Agents Multi Agent Syst., 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
A Comparison of DWT/PAA and DFT for Time Series Classification.
Proceedings of the 2006 International Conference on Data Mining, 2006
2005
IEEE Trans. Evol. Comput., 2005
A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Improving Decision Tree Performance Through Induction- and Cluster-Based Stratified Sampling.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the Artificial Evolution, 2003
2001
2000
A Multi-Adaptive Agent Model of Generator Bidding in the UK Market in Electricity.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000
1999
Using an Adaptive Agent to Bid in a Simplified Model of the UK Market in Electricity.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999
1997
The Cryptanalysis of a Three Rotor Machine Using a Genetic Algorithm.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997