# Anthony J. Bagnall

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^{1}, Anthony J. Bagnall## Timeline

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## Bibliography

2017

Binary Shapelet Transform for Multiclass Time Series Classification.

T. Large-Scale Data- and Knowledge-Centered Systems, 2017

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.

Data Min. Knowl. Discov., 2017

A Shapelet Transform for Multivariate Time Series Classification.

CoRR, 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, BigData 2017, 2017

2016

Ensembles of random sphere cover classifiers.

Pattern Recognition, 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

Time-series classification with COTE: The collective of transformation-based ensembles.

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles.

IEEE Trans. Knowl. Data Eng., 2015

Time series classification with ensembles of elastic distance measures.

Data Min. Knowl. Discov., 2015

Benchmarking the semi-supervised naïve Bayes classifier.

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Binary Shapelet Transform for Multiclass Time Series Classification.

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

2014

Classification of time series by shapelet transformation.

Data Min. Knowl. Discov., 2014

Ensembles of Random Sphere Cover Classifiers.

CoRR, 2014

An Experimental Evaluation of Nearest Neighbour Time Series Classification.

CoRR, 2014

Finding Motif Sets in Time Series.

CoRR, 2014

Predictive Modelling of Bone Age through Classification and Regression of Bone Shapes.

CoRR, 2014

A Run Length Transformation for Discriminating Between Auto Regressive Time Series.

J. Classification, 2014

Ensembles of Elastic Distance Measures for Time Series Classification.

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

BruteSuppression: a size reduction method for Apriori rule sets.

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

On the Segmentation and Classification of Hand Radiographs.

Int. J. Neural Syst., 2012

An efficient randomised sphere cover classifier.

IJDMMM, 2012

Transformation Based Ensembles for Time Series Classification.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A shapelet transform for time series classification.

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Alternative Quality Measures for Time Series Shapelets.

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Interestingness Measures for Fixed Consequent Rules.

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Automated Bone Age Assessment Using Feature Extraction.

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011

Classification of Household Devices by Electricity Usage Profiles.

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

On the Extraction and Classification of Hand Outlines.

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010

A Randomized Sphere Cover Classifier.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

2009

A learning classifier system for mazes with aliasing clones.

Natural Computing, 2009

Learning Mazes with Aliasing States: An LCS Algorithm with Associative Perception.

Adaptive Behaviour, 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

Learning Classifier System Ensembles With Rule-Sharing.

IEEE Trans. Evolutionary Computation, 2007

Super Computer Heterogeneous Classifier Meta-Ensembles.

IJDWM, 2007

Adaptive Sniping for Volatile and Stable Continuous Double Auction Markets.

Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2007

2006

A Bit Level Representation for Time Series Data Mining with Shape Based Similarity.

Data Min. Knowl. Discov., 2006

Autonomous Adaptive Agents for Single Seller Sealed Bid Auctions.

Autonomous Agents and Multi-Agent Systems, 2006

Variance Stabilizing Regression Ensembles for Environmental Models.

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

A multiagent model of the UK market in electricity generation.

IEEE Trans. Evolutionary Computation, 2005

Clustering Time Series with Clipped Data.

Machine Learning, 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

AgentP classifier system: self-adjusting vs. gradual approach.

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

On the use of rule-sharing in learning classifier system ensembles.

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Clustering time series from ARMA models with clipped data.

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

An Agent Model for First Price and Second Price Private Value Auctions.

Proceedings of the Artificial Evolution, 2003

2001

The next release problem.

Information & Software Technology, 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