BibTeX records: Aaron Bostrom

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@article{DBLP:journals/tkdd/AleryaniBWI23,
  author       = {Aliya Aleryani and
                  Aaron Bostrom and
                  Wenjia Wang and
                  Beatriz de la Iglesia},
  title        = {Multiple Imputation Ensembles for Time Series {(MIE-TS)}},
  journal      = {{ACM} Trans. Knowl. Discov. Data},
  volume       = {17},
  number       = {3},
  pages        = {44:1--44:28},
  year         = {2023},
  url          = {https://doi.org/10.1145/3551643},
  doi          = {10.1145/3551643},
  timestamp    = {Wed, 17 May 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/tkdd/AleryaniBWI23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/ml/MiddlehurstLFLB21,
  author       = {Matthew Middlehurst and
                  James Large and
                  Michael Flynn and
                  Jason Lines and
                  Aaron Bostrom and
                  Anthony J. Bagnall},
  title        = {{HIVE-COTE} 2.0: a new meta ensemble for time series classification},
  journal      = {Mach. Learn.},
  volume       = {110},
  number       = {11},
  pages        = {3211--3243},
  year         = {2021},
  url          = {https://doi.org/10.1007/s10994-021-06057-9},
  doi          = {10.1007/S10994-021-06057-9},
  timestamp    = {Wed, 15 Dec 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/ml/MiddlehurstLFLB21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2104-07551,
  author       = {Matthew Middlehurst and
                  James Large and
                  Michael Flynn and
                  Jason Lines and
                  Aaron Bostrom and
                  Anthony J. Bagnall},
  title        = {{HIVE-COTE} 2.0: a new meta ensemble for time series classification},
  journal      = {CoRR},
  volume       = {abs/2104.07551},
  year         = {2021},
  url          = {https://arxiv.org/abs/2104.07551},
  eprinttype    = {arXiv},
  eprint       = {2104.07551},
  timestamp    = {Mon, 19 Apr 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2104-07551.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@phdthesis{DBLP:phd/ethos/Bostrom18,
  author       = {Aaron Bostrom},
  title        = {Shapelet transforms for univariate and multivariate time series classification},
  school       = {University of East Anglia, Norwich, {UK}},
  year         = {2018},
  url          = {https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.743360},
  timestamp    = {Tue, 05 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/phd/ethos/Bostrom18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1809-06705,
  author       = {Anthony J. Bagnall and
                  Aaron Bostrom and
                  Gavin C. Cawley and
                  Michael Flynn and
                  James Large and
                  Jason Lines},
  title        = {Is rotation forest the best classifier for problems with continuous
                  features?},
  journal      = {CoRR},
  volume       = {abs/1809.06705},
  year         = {2018},
  url          = {http://arxiv.org/abs/1809.06705},
  eprinttype    = {arXiv},
  eprint       = {1809.06705},
  timestamp    = {Thu, 22 Nov 2018 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1809-06705.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1811-00075,
  author       = {Anthony J. Bagnall and
                  Hoang Anh Dau and
                  Jason Lines and
                  Michael Flynn and
                  James Large and
                  Aaron Bostrom and
                  Paul Southam and
                  Eamonn J. Keogh},
  title        = {The {UEA} multivariate time series classification archive, 2018},
  journal      = {CoRR},
  volume       = {abs/1811.00075},
  year         = {2018},
  url          = {http://arxiv.org/abs/1811.00075},
  eprinttype    = {arXiv},
  eprint       = {1811.00075},
  timestamp    = {Thu, 22 Nov 2018 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1811-00075.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/datamine/BagnallLBLK17,
  author       = {Anthony J. Bagnall and
                  Jason Lines and
                  Aaron Bostrom and
                  James Large and
                  Eamonn J. Keogh},
  title        = {The great time series classification bake off: a review and experimental
                  evaluation of recent algorithmic advances},
  journal      = {Data Min. Knowl. Discov.},
  volume       = {31},
  number       = {3},
  pages        = {606--660},
  year         = {2017},
  url          = {https://doi.org/10.1007/s10618-016-0483-9},
  doi          = {10.1007/S10618-016-0483-9},
  timestamp    = {Sat, 19 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/datamine/BagnallLBLK17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tlsdkcs/BostromB17,
  author       = {Aaron Bostrom and
                  Anthony J. Bagnall},
  title        = {Binary Shapelet Transform for Multiclass Time Series Classification},
  journal      = {Trans. Large Scale Data Knowl. Centered Syst.},
  volume       = {32},
  pages        = {24--46},
  year         = {2017},
  url          = {https://doi.org/10.1007/978-3-662-55608-5\_2},
  doi          = {10.1007/978-3-662-55608-5\_2},
  timestamp    = {Mon, 02 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/tlsdkcs/BostromB17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/BagnallBLL17,
  author       = {Anthony J. Bagnall and
                  Aaron Bostrom and
                  James Large and
                  Jason Lines},
  title        = {Simulated Data Experiments for Time Series Classification Part 1:
                  Accuracy Comparison with Default Settings},
  journal      = {CoRR},
  volume       = {abs/1703.09480},
  year         = {2017},
  url          = {http://arxiv.org/abs/1703.09480},
  eprinttype    = {arXiv},
  eprint       = {1703.09480},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/BagnallBLL17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1712-06428,
  author       = {Aaron Bostrom and
                  Anthony J. Bagnall},
  title        = {A Shapelet Transform for Multivariate Time Series Classification},
  journal      = {CoRR},
  volume       = {abs/1712.06428},
  year         = {2017},
  url          = {http://arxiv.org/abs/1712.06428},
  eprinttype    = {arXiv},
  eprint       = {1712.06428},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1712-06428.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icde/BagnallLHB16,
  author       = {Anthony J. Bagnall and
                  Jason Lines and
                  Jon Hills and
                  Aaron Bostrom},
  title        = {Time-series classification with {COTE:} The collective of transformation-based
                  ensembles},
  booktitle    = {32nd {IEEE} International Conference on Data Engineering, {ICDE} 2016,
                  Helsinki, Finland, May 16-20, 2016},
  pages        = {1548--1549},
  publisher    = {{IEEE} Computer Society},
  year         = {2016},
  url          = {https://doi.org/10.1109/ICDE.2016.7498418},
  doi          = {10.1109/ICDE.2016.7498418},
  timestamp    = {Fri, 24 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/icde/BagnallLHB16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/BagnallBLL16,
  author       = {Anthony J. Bagnall and
                  Aaron Bostrom and
                  James Large and
                  Jason Lines},
  title        = {The Great Time Series Classification Bake Off: An Experimental Evaluation
                  of Recently Proposed Algorithms. Extended Version},
  journal      = {CoRR},
  volume       = {abs/1602.01711},
  year         = {2016},
  url          = {http://arxiv.org/abs/1602.01711},
  eprinttype    = {arXiv},
  eprint       = {1602.01711},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/BagnallBLL16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tkde/BagnallLHB15,
  author       = {Anthony J. Bagnall and
                  Jason Lines and
                  Jon Hills and
                  Aaron Bostrom},
  title        = {Time-Series Classification with {COTE:} The Collective of Transformation-Based
                  Ensembles},
  journal      = {{IEEE} Trans. Knowl. Data Eng.},
  volume       = {27},
  number       = {9},
  pages        = {2522--2535},
  year         = {2015},
  url          = {https://doi.org/10.1109/TKDE.2015.2416723},
  doi          = {10.1109/TKDE.2015.2416723},
  timestamp    = {Wed, 14 Nov 2018 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/tkde/BagnallLHB15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/dawak/BostromB15,
  author       = {Aaron Bostrom and
                  Anthony J. Bagnall},
  editor       = {Sanjay Madria and
                  Takahiro Hara},
  title        = {Binary Shapelet Transform for Multiclass Time Series Classification},
  booktitle    = {Big Data Analytics and Knowledge Discovery - 17th International Conference,
                  DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {9263},
  pages        = {257--269},
  publisher    = {Springer},
  year         = {2015},
  url          = {https://doi.org/10.1007/978-3-319-22729-0\_20},
  doi          = {10.1007/978-3-319-22729-0\_20},
  timestamp    = {Tue, 14 May 2019 10:00:41 +0200},
  biburl       = {https://dblp.org/rec/conf/dawak/BostromB15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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