The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability
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. 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
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 LM. 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 StyleCabitza, Federico, Andrea Campagner, Domenico Albano, Alberto Aliprandi, Alberto Bruno, Vito Chianca, Angelo Corazza, Francesco Di Pietto, Angelo Gambino, Salvatore Gitto, Carmelo Messina, Davide Orlandi, Luigi Pedone, Marcello Zappia, and Luca M. Sconfienza. 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