Jason Lines

Search results

• 2022

  TS-QUAD: A Smaller Elastic Ensemble For Time Series Classification

  Lines, J. & Oastler, G., 29 May 2022, p. 221–232. 12 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  17 Downloads (Pure)
• 2019

  A comparison of machine learning methods for detecting right whales from autonomous surface vehicles

  Vickers, W., Milner, B., Lee, R. & Lines, J., 18 Nov 2019, p. 1-5. 5 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  2 Citations (Scopus)

  55 Downloads (Pure)

• Detecting right whales from autonomous surface vehicles using RNNs and CNNs

  Vickers, W., Milner, B., Lines, J. & Lee, R., 2019.

  Research output: Contribution to conference › Paper › peer-review
• 2016

  HIVE-COTE: The hierarchical vote collective of transformation-based ensembles for time series classification: IEEE International Conference on Data Mining

  Lines, J., Taylor, S. & Bagnall, A., 15 Dec 2016, p. 1041-1046.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  40 Downloads (Pure)
• 2014

  Ensembles of Elastic Distance Measures for Time Series Classification

  Lines, J. & Bagnall, A., 2014.

  Research output: Contribution to conference › Paper › peer-review
  16 Citations (Scopus)
• 2013

  Clupea Harengus: Intraspecies Distinction Using Curvature Scale Space and Shapelets

  Mapp, J., Fisher, M., Bagnall, T., Lines, J., Songer, S. & Scutt Phillips, J., Feb 2013.

  Research output: Contribution to conference › Paper › peer-review

  2 Citations (Scopus)
• 2012

  A Shapelet Transform for Time Series Classification

  Lines, J., Davis, L., Hills, J. & Bagnall, A., 2012.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  302 Citations (Scopus)

  30 Downloads (Pure)

• Transformation Based Ensembles for Time Series Classification

  Bagnall, A., Davis, L., Hills, J. & Lines, J., May 2012, p. 307-319. 13 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  92 Citations (Scopus)

  56 Downloads (Pure)