@inproceedings{DBLP:conf/mir/CeroniME18,
  added-at = {2019-01-16T15:51:45.000+0100},
  author = {Ceroni, Andrea and Ma, Chenyang and Ewerth, Ralph},
  biburl = {https://www.bibsonomy.org/bibtex/23d17dd6eef8bac24619426222ffdec02/niederee},
  booktitle = {ICMR},
  interhash = {32676882b54d3f936220880fc3092a22},
  intrahash = {3d17dd6eef8bac24619426222ffdec02},
  keywords = {managed-forgetting},
  pages = {37--45},
  publisher = {ACM},
  timestamp = {2022-02-23T11:41:46.000+0100},
  title = {Mining Exoticism from Visual Content with Fusion-based Deep Neural Networks.},
  year = 2018
}

@inproceedings{conf/mir/CeroniME18,
  added-at = {2018-11-21T00:00:00.000+0100},
  author = {Ceroni, Andrea and Ma, Chenyang and Ewerth, Ralph},
  biburl = {https://www.bibsonomy.org/bibtex/2235346ac6bfc8d71c99e58aa52933fde/dblp},
  booktitle = {ICMR},
  crossref = {conf/mir/2018},
  editor = {Aizawa, Kiyoharu and Lew, Michael S. and Satoh, Shin'ichi},
  ee = {https://doi.org/10.1145/3206025.3206044},
  interhash = {32676882b54d3f936220880fc3092a22},
  intrahash = {235346ac6bfc8d71c99e58aa52933fde},
  keywords = {dblp},
  pages = {37-45},
  publisher = {ACM},
  timestamp = {2024-04-09T17:33:52.000+0200},
  title = {Mining Exoticism from Visual Content with Fusion-based Deep Neural Networks.},
  url = {http://dblp.uni-trier.de/db/conf/mir/icmr2018.html#CeroniME18},
  year = 2018
}

@inproceedings{DBLP:conf/mir/CeroniME18,
  added-at = {2018-09-25T00:17:58.000+0200},
  author = {Ceroni, Andrea and Ma, Chenyang and Ewerth, Ralph},
  biburl = {https://www.bibsonomy.org/bibtex/212225ac1f8a69fe19c23220cded2baac/ewerth},
  booktitle = {ICMR},
  interhash = {32676882b54d3f936220880fc3092a22},
  intrahash = {12225ac1f8a69fe19c23220cded2baac},
  keywords = {deep_learning exoticism fusion_based_architecture hand_crafted_features image_retrieval l3s myown sys: visual_concept_classification visual_concept_detection},
  pages = {37--45},
  publisher = {ACM},
  timestamp = {2019-02-06T16:25:53.000+0100},
  title = {Mining Exoticism from Visual Content with Fusion-based Deep Neural
               Networks},
  year = 2018
}