Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends. Mahmoud, S., Gil, J. M., Praher, P., Freudenthaler, B., & Girkinger, A. In Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings, pages 184–191, 2021.
Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/dexaw/MahmoudGPFG21,
  author       = {Salma Mahmoud and
                  Jorge Mart{\'{\i}}nez Gil and
                  Patrick Praher and
                  Bernhard Freudenthaler and
                  Alexander Girkinger},
  title        = {Deep Learning Rule for Efficient Changepoint Detection in the Presence
                  of Non-Linear Trends},
  booktitle    = {Database and Expert Systems Applications - {DEXA} 2021 Workshops -
                  BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event,
                  September 27-30, 2021, Proceedings},
  pages        = {184--191},
  year         = {2021},
  crossref     = {DBLP:conf/dexaw/2021},
  url          = {https://doi.org/10.1007/978-3-030-87101-7\_18},
  doi          = {10.1007/978-3-030-87101-7\_18},
  timestamp    = {Mon, 26 Jun 2023 20:42:59 +0200},
  biburl       = {https://dblp.org/rec/conf/dexaw/MahmoudGPFG21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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