Interpreting deep learning models for ordinal problems

José P. Amorim, Inês Domingues, Pedro Henriques Abreu, João Santos. Interpreting deep learning models for ordinal problems. In 26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018. 2018. [doi]

@inproceedings{AmorimDAS18,
  title = {Interpreting deep learning models for ordinal problems},
  author = {José P. Amorim and Inês Domingues and Pedro Henriques Abreu and João Santos},
  year = {2018},
  url = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-82.pdf},
  researchr = {https://researchr.org/publication/AmorimDAS18},
  cites = {0},
  citedby = {0},
  booktitle = {26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018},
}