Efficiency and fairness in recurring data-driven risk assessments of violent recidivism

Marzieh Karimi-Haghighi, Carlos Castillo. Efficiency and fairness in recurring data-driven risk assessments of violent recidivism. In Chih-Cheng Hung, Jiman Hong, Alessio Bechini, Eunjee Song, editors, SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021. pages 994-1002, ACM, 2021. [doi]

@inproceedings{Karimi-Haghighi21,
  title = {Efficiency and fairness in recurring data-driven risk assessments of violent recidivism},
  author = {Marzieh Karimi-Haghighi and Carlos Castillo},
  year = {2021},
  doi = {10.1145/3412841.3441975},
  url = {https://doi.org/10.1145/3412841.3441975},
  researchr = {https://researchr.org/publication/Karimi-Haghighi21},
  cites = {0},
  citedby = {0},
  pages = {994-1002},
  booktitle = {SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021},
  editor = {Chih-Cheng Hung and Jiman Hong and Alessio Bechini and Eunjee Song},
  publisher = {ACM},
  isbn = {978-1-4503-8104-8},
}