Chaquet-Ulldemolins, J.; Gimeno-Blanes, F.-J.; Moral-Rubio, S.; Muñoz-Romero, S.; Rojo-Álvarez, J.-L.
On the Black-Box Challenge for Fraud Detection Using Machine Learning (I): Linear Models and Informative Feature Selection. Appl. Sci. 2022, 12, 3328.
https://doi.org/10.3390/app12073328
AMA Style
Chaquet-Ulldemolins J, Gimeno-Blanes F-J, Moral-Rubio S, Muñoz-Romero S, Rojo-Álvarez J-L.
On the Black-Box Challenge for Fraud Detection Using Machine Learning (I): Linear Models and Informative Feature Selection. Applied Sciences. 2022; 12(7):3328.
https://doi.org/10.3390/app12073328
Chicago/Turabian Style
Chaquet-Ulldemolins, Jacobo, Francisco-Javier Gimeno-Blanes, Santiago Moral-Rubio, Sergio Muñoz-Romero, and José-Luis Rojo-Álvarez.
2022. "On the Black-Box Challenge for Fraud Detection Using Machine Learning (I): Linear Models and Informative Feature Selection" Applied Sciences 12, no. 7: 3328.
https://doi.org/10.3390/app12073328
APA Style
Chaquet-Ulldemolins, J., Gimeno-Blanes, F.-J., Moral-Rubio, S., Muñoz-Romero, S., & Rojo-Álvarez, J.-L.
(2022). On the Black-Box Challenge for Fraud Detection Using Machine Learning (I): Linear Models and Informative Feature Selection. Applied Sciences, 12(7), 3328.
https://doi.org/10.3390/app12073328
