Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption

Cite

Text

Marot et al. "Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019. doi:10.1007/978-3-030-46133-1_38

Markdown

[Marot et al. "Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019.](https://mlanthology.org/ecmlpkdd/2019/marot2019ecmlpkdd-interpreting/) doi:10.1007/978-3-030-46133-1_38

BibTeX

@inproceedings{marot2019ecmlpkdd-interpreting,
  title     = {{Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption}},
  author    = {Marot, Antoine and Rosin, Antoine and Crochepierre, Laure and Donnot, Benjamin and Pinson, Pierre and Boudjeloud-Assala, Lydia},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2019},
  pages     = {638-654},
  doi       = {10.1007/978-3-030-46133-1_38},
  url       = {https://mlanthology.org/ecmlpkdd/2019/marot2019ecmlpkdd-interpreting/}
}