Anthony J. Bagnall

Orcid: 0000-0003-2360-8994

Affiliations:
  • University of East Anglia, School of Computing Sciences, Norwich, UK


According to our database1, Anthony J. Bagnall authored at least 100 papers between 1997 and 2024.

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Bibliography

2024
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
Data Min. Knowl. Discov., November, 2024

Bake off redux: a review and experimental evaluation of recent time series classification algorithms.
Data Min. Knowl. Discov., July, 2024

Unsupervised feature based algorithms for time series extrinsic regression.
Data Min. Knowl. Discov., July, 2024

A review and evaluation of elastic distance functions for time series clustering.
Knowl. Inf. Syst., February, 2024

aeon: a Python toolkit for learning from time series.
CoRR, 2024

A Hands-on Introduction to Time Series Classification and Regression.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification.
CoRR, 2023

Time Series Classification of Electroencephalography Data.
Proceedings of the Advances in Computational Intelligence, 2023

Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure.
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

Clustering Time Series with k-Medoids Based Algorithms.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

Human Activity Segmentation Challenge @ ECML/PKDD'23.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier.
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
HIVE-COTE 2.0: a new meta ensemble for time series classification.
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

Benchmarking Multivariate Time Series Classification Algorithms.
CoRR, 2020

Detecting Electric Devices in 3D Images of Bags.
CoRR, 2020

A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.
CoRR, 2020

Developing Ensemble Methods for Detecting Anomalies in Water Level Data.
Proceedings of the Artificial Intelligence XXXVII, 2020

The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Ordinal Versus Nominal Time Series Classification.
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

Time series ordinal classification via shapelets.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The Canonical Interval Forest (CIF) Classifier for Time Series Classification.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
The UCR time series archive.
IEEE CAA J. Autom. Sinica, 2019

On time series classification with dictionary-based classifiers.
Intell. Data Anal., 2019

A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates.
Data Min. Knowl. Discov., 2019

Data Series Management (Dagstuhl Seminar 19282).
Dagstuhl Reports, 2019

A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers.
CoRR, 2019

sktime: A Unified Interface for Machine Learning with Time Series.
CoRR, 2019

A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency.
CoRR, 2019

Scalable Dictionary Classifiers for Time Series Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Mixing Hetero- and Homogeneous Models in Weighted Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

A Hybrid Approach to Time Series Classification with Shapelets.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Classifying Flies Based on Reconstructed Audio Signals.
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

The UEA multivariate time series classification archive, 2018.
CoRR, 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 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
Binary Shapelet Transform for Multiclass Time Series Classification.
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

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 (IEEE BigData 2017), 2017

2016
Ensembles of random sphere cover classifiers.
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

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

2014
Classification of time series by shapelet transformation.
Data Min. Knowl. Discov., 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. Classif., 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.
Int. J. Data Min. Model. Manag., 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.
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
Learning Classifier System Ensembles With Rule-Sharing.
IEEE Trans. Evol. Comput., 2007

Super Computer Heterogeneous Classifier Meta-Ensembles.
Int. J. Data Warehous. Min., 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.
Auton. Agents Multi Agent Syst., 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. Evol. Comput., 2005

Clustering Time Series with Clipped Data.
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

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
Data mining rules using multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

An Agent Model for First Price and Second Price Private Value Auctions.
Proceedings of the Artificial Evolution, 2003

2001
The next release problem.
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


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