Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?

James Large, Paul Southam, Anthony J. Bagnall. Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?. In Hilde Pérez García, Lidia Sánchez-González, Manuel Castejón Limas, Héctor Quintián-Pardo, Emilio S. Corchado Rodríguez, editors, Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings. Volume 11734 of Lecture Notes in Computer Science, pages 50-60, Springer, 2019. [doi]

@inproceedings{LargeSB19,
  title = {Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?},
  author = {James Large and Paul Southam and Anthony J. Bagnall},
  year = {2019},
  doi = {10.1007/978-3-030-29859-3_5},
  url = {https://doi.org/10.1007/978-3-030-29859-3_5},
  researchr = {https://researchr.org/publication/LargeSB19},
  cites = {0},
  citedby = {0},
  pages = {50-60},
  booktitle = {Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings},
  editor = {Hilde Pérez García and Lidia Sánchez-González and Manuel Castejón Limas and Héctor Quintián-Pardo and Emilio S. Corchado Rodríguez},
  volume = {11734},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-29859-3},
}