Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors

Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant. Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors. In Yuxiao Dong, Dunja Mladenic, Craig Saunders, editors, Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV. Volume 12460 of Lecture Notes in Computer Science, pages 444-460, Springer, 2020. [doi]

@inproceedings{CrochepierreBB20,
  title = {Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors},
  author = {Laure Crochepierre and Lydia Boudjeloud-Assala and Vincent Barbesant},
  year = {2020},
  doi = {10.1007/978-3-030-67667-4_27},
  url = {https://doi.org/10.1007/978-3-030-67667-4_27},
  researchr = {https://researchr.org/publication/CrochepierreBB20},
  cites = {0},
  citedby = {0},
  pages = {444-460},
  booktitle = {Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV},
  editor = {Yuxiao Dong and Dunja Mladenic and Craig Saunders},
  volume = {12460},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-67667-4},
}