LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks

Gjergji Kasneci, Thomas Gottron. LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. In Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi, editors, Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. pages 45-54, ACM, 2016. [doi]

@inproceedings{KasneciG16,
  title = {LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks},
  author = {Gjergji Kasneci and Thomas Gottron},
  year = {2016},
  doi = {10.1145/2983323.2983746},
  url = {http://doi.acm.org/10.1145/2983323.2983746},
  researchr = {https://researchr.org/publication/KasneciG16},
  cites = {0},
  citedby = {0},
  pages = {45-54},
  booktitle = {Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016},
  editor = {Snehasis Mukhopadhyay and ChengXiang Zhai and Elisa Bertino and Fabio Crestani and Javed Mostafa and Jie Tang and Luo Si and Xiaofang Zhou and Yi Chang and Yunyao Li and Parikshit Sondhi},
  publisher = {ACM},
  isbn = {978-1-4503-4073-1},
}