BibTeX record conf/icmla/JensenFTC21

• > Home > conf/icmla/JensenFTC21

@inproceedings{DBLP:conf/icmla/JensenFTC21,
  author       = {Louis Jensen and
                  Jayme Fosa and
                  Ben Teitelbaum and
                  Peter Chin},
  editor       = {M. Arif Wani and
                  Ishwar K. Sethi and
                  Weisong Shi and
                  Guangzhi Qu and
                  Daniela Stan Raicu and
                  Ruoming Jin},
  title        = {How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series
                  Anomaly Detection},
  booktitle    = {20th {IEEE} International Conference on Machine Learning and Applications,
                  {ICMLA} 2021, Pasadena, CA, USA, December 13-16, 2021},
  pages        = {1272--1277},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/ICMLA52953.2021.00207},
  doi          = {10.1109/ICMLA52953.2021.00207},
  timestamp    = {Thu, 29 Sep 2022 16:39:33 +0200},
  biburl       = {https://dblp.org/rec/conf/icmla/JensenFTC21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}