# Anthony J. Bagnall

According to our database

Collaborative distances:

^{1}, Anthony J. Bagnall authored at least 84 papers between 1997 and 2021.Collaborative distances:

## Timeline

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## Bibliography

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

CoRR, 2020

CoRR, 2020

CoRR, 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

2019

IEEE CAA J. Autom. Sinica, 2019

Intell. Data Anal., 2019

A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates.

Data Min. Knowl. Discov., 2019

Dagstuhl Reports, 2019

A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers.

CoRR, 2019

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

CoRR, 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

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

Pattern Recognit., 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

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. 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

Nat. Comput., 2009

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

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

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

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

Mach. Learn., 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 Artificial Evolution, 2003

2001

Inf. Softw. Technol., 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