Publications

1. Chicco, Davide; Tötsch, Niklas; Jurman, Giuseppe,
   The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation,
   in «BIODATA MINING»,
   vol. 14,
   n. 1,
   2021
2. Chicco, Davide; Jurman, Giuseppe,
   An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis,
   in «IEEE ACCESS»,
   vol. 9,
   2021
   , pp. 24485 -
   24498
3. Chicco, Davide; Starovoitov, Valery; Jurman, Giuseppe,
   The benefits of the Matthews correlation coefficient ({MCC}) over the diagnostic odds ratio ({DOR}) in binary classification assessment,
   in «IEEE ACCESS»,
   vol. 9,
   2021
   , pp. 47112 -
   47124
4. Bussola, Nicole; Marcolini, Alessia; Maggio, Valerio; Jurman, Giuseppe; Furlanello, Cesare,
   AI Slipping on Tiles: Data Leakage in Digital Pathology,
   Proceedings of International Conference on Pattern Recognition (ICPR 2021),
   Springer,
   2021
   , pp. 167 -
   182
5. Chicco, Davide; Jurman, Giuseppe,
   The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,
   in «BMC GENOMICS»,
   vol. 21,
   n. 1,
   2020
   , pp. 6 -
6. Chicco, Davide; Jurman, Giuseppe,
   Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone,
   in «BMC MEDICAL INFORMATICS AND DECISION MAKING»,
   vol. 20,
   n. 1,
   2020
   , pp. 16 -
7. Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare,
   Predictability of drug-induced liver injury by machine learning,
   in «BIOLOGY DIRECT»,
   vol. 15,
   n. 1,
   2020
8. Gesualdo, Francesco; D'Ambrosio, Angelo; Agricola, Eleonora; Russo, Luisa; Campagna, Ilaria; Ferretti, Beatrice; Pandolfi, Elisabetta; Cristoforetti, Marco; Tozzi, Alberto E; Rizzo, Caterina,
   How do Twitter users react to TV broadcasts dedicated to vaccines in Italy?,
   in «EUROPEAN JOURNAL OF PUBLIC HEALTH»,
   2020
9. Franch, Gabriele; Nerini, Daniele; Pendesini, Marta; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare,
   Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events,
   in «ATMOSPHERE»,
   vol. 11,
   n. 3,
   2020
   , pp. 267 -
10. Xu, Fangcao; Cervone, Guido; Franch, Gabriele; Salvador, Mark,
    Multiple geometry atmospheric correction for image spectroscopy using deep learning,
    in «JOURNAL OF APPLIED REMOTE SENSING»,
    vol. 14,
    n. 02,
    2020

Pages