Cabitza, F.; Campagner, A.; Albano, D.; Aliprandi, A.; Bruno, A.; Chianca, V.; Corazza, A.; Di Pietto, F.; Gambino, A.; Gitto, S.;
et al. The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability. Appl. Sci. 2020, 10, 4014.
https://doi.org/10.3390/app10114014
AMA Style
Cabitza F, Campagner A, Albano D, Aliprandi A, Bruno A, Chianca V, Corazza A, Di Pietto F, Gambino A, Gitto S,
et al. The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability. Applied Sciences. 2020; 10(11):4014.
https://doi.org/10.3390/app10114014
Chicago/Turabian Style
Cabitza, Federico, Andrea Campagner, Domenico Albano, Alberto Aliprandi, Alberto Bruno, Vito Chianca, Angelo Corazza, Francesco Di Pietto, Angelo Gambino, Salvatore Gitto,
and et al. 2020. "The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability" Applied Sciences 10, no. 11: 4014.
https://doi.org/10.3390/app10114014
APA Style
Cabitza, F., Campagner, A., Albano, D., Aliprandi, A., Bruno, A., Chianca, V., Corazza, A., Di Pietto, F., Gambino, A., Gitto, S., Messina, C., Orlandi, D., Pedone, L., Zappia, M., & Sconfienza, L. M.
(2020). The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability. Applied Sciences, 10(11), 4014.
https://doi.org/10.3390/app10114014
