Anthony J. Bagnall
According to our database^{1},
Anthony J. Bagnall
authored at least 62 papers
between 1997 and 2018.
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Bibliography
2018
Time Series Classification with HIVECOTE: The Hierarchical Vote Collective of TransformationBased Ensembles.
TKDD, 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
Is rotation forest the best classifier for problems with continuous features?
CoRR, 2018
Detecting Forged Alcohol Noninvasively Through Vibrational Spectroscopy and Machine Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
2017
Binary Shapelet Transform for Multiclass Time Series Classification.
T. LargeScale Data and KnowledgeCentered 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
HIVECOTE: The Hierarchical Vote Collective of TransformationBased Ensembles for Time Series Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Timeseries classification with COTE: The collective of transformationbased ensembles.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
2015
TimeSeries Classification with COTE: The Collective of TransformationBased Ensembles.
IEEE Trans. Knowl. Data Eng., 2015
Time series classification with ensembles of elastic distance measures.
Data Min. Knowl. Discov., 2015
Benchmarking the semisupervised 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 Northsea 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 RuleSharing.
IEEE Trans. Evolutionary Computation, 2007
Super Computer Heterogeneous Classifier MetaEnsembles.
IJDWM, 2007
Adaptive Sniping for Volatile and Stable Continuous Double Auction Markets.
Proceedings of the AgentMediated 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 MultiAgent 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: selfadjusting vs. gradual approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
On the use of rulesharing 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 ClusterBased 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 MultiAdaptive 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