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Anthony Bagnall
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Anthony Bagnall11 visible / 11 total nodes / 20 links

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Co-authorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipWorks onAuthorshipWorks onAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAnthony BagnallAAnthony BagnallResearcherChristopher HolderAChristopher HolderResearcherDetecting Electric Devices in 3D Images of BagsWDetecting Electric Devi...preprint / 2020An Experimental Evaluation of Nearest Neighbour Time Series ClassificationWAn Experimental Evaluat...preprint / 2014Predictive Modelling of Bone Age through Classification and Regression of Bone ShapesWPredictive Modelling of...preprint / 2014Finding Motif Sets in Time SeriesWFinding Motif Sets in T...preprint / 2014Ensembles of Random Sphere Cover ClassifiersWEnsembles of Random Sph...preprint / 2014The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended VersionWThe Great Time Series C...preprint / 2016Machine LearningTMachine Learning49008 worksSoft-MSM: Differentiable Context-Aware Elastic Alignment for Time SeriesWSoft-MSM: Differentiabl...preprint / 2026The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its PartsWThe Heterogeneous Ensem...preprint / 2017
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Anthony Bagnall

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PersonChristopher HolderCo-authorship / ResearcherPaperDetecting Electric Devices in 3D Images of BagsAuthorship / preprint / 2020PaperAn Experimental Evaluation of Nearest Neighbour Time Series ClassificationAuthorship / preprint / 2014PaperPredictive Modelling of Bone Age through Classification and Regression of Bone ShapesAuthorship / preprint / 2014PaperFinding Motif Sets in Time SeriesAuthorship / preprint / 2014PaperEnsembles of Random Sphere Cover ClassifiersAuthorship / preprint / 2014PaperThe Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended VersionAuthorship / preprint / 2016TopicMachine LearningWorks on / 49008 works

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