Travaini, G.V.; Pacchioni, F.; Bellumore, S.; Bosia, M.; De Micco, F.
Machine Learning and Criminal Justice: A Systematic Review of Advanced Methodology for Recidivism Risk Prediction. Int. J. Environ. Res. Public Health 2022, 19, 10594.
https://doi.org/10.3390/ijerph191710594
AMA Style
Travaini GV, Pacchioni F, Bellumore S, Bosia M, De Micco F.
Machine Learning and Criminal Justice: A Systematic Review of Advanced Methodology for Recidivism Risk Prediction. International Journal of Environmental Research and Public Health. 2022; 19(17):10594.
https://doi.org/10.3390/ijerph191710594
Chicago/Turabian Style
Travaini, Guido Vittorio, Federico Pacchioni, Silvia Bellumore, Marta Bosia, and Francesco De Micco.
2022. "Machine Learning and Criminal Justice: A Systematic Review of Advanced Methodology for Recidivism Risk Prediction" International Journal of Environmental Research and Public Health 19, no. 17: 10594.
https://doi.org/10.3390/ijerph191710594
APA Style
Travaini, G. V., Pacchioni, F., Bellumore, S., Bosia, M., & De Micco, F.
(2022). Machine Learning and Criminal Justice: A Systematic Review of Advanced Methodology for Recidivism Risk Prediction. International Journal of Environmental Research and Public Health, 19(17), 10594.
https://doi.org/10.3390/ijerph191710594
