A Study of Dynamic Convolutional Neural Network Technique for SCOTUS Legal Opinions Data Classification

Eya Hammami, Rim Faiz, Ben Slama Sami. A Study of Dynamic Convolutional Neural Network Technique for SCOTUS Legal Opinions Data Classification. In Juan Antonio Lossio Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Denisse Muñante, Carlos Gavidia-Calderon, Alan Demétrius Baria Valejo, Hugo Alatrista Salas, editors, Information Management and Big Data - 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1-3, 2021, Proceedings. Volume 1577 of Communications in Computer and Information Science, pages 79-91, Springer, 2021. [doi]

@inproceedings{HammamiFS21,
  title = {A Study of Dynamic Convolutional Neural Network Technique for SCOTUS Legal Opinions Data Classification},
  author = {Eya Hammami and Rim Faiz and Ben Slama Sami},
  year = {2021},
  doi = {10.1007/978-3-031-04447-2_6},
  url = {https://doi.org/10.1007/978-3-031-04447-2_6},
  researchr = {https://researchr.org/publication/HammamiFS21},
  cites = {0},
  citedby = {0},
  pages = {79-91},
  booktitle = {Information Management and Big Data - 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1-3, 2021, Proceedings},
  editor = {Juan Antonio Lossio Ventura and Jorge Valverde-Rebaza and Eduardo Díaz and Denisse Muñante and Carlos Gavidia-Calderon and Alan Demétrius Baria Valejo and Hugo Alatrista Salas},
  volume = {1577},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-04447-2},
}