CAMPAGNER ANDREA

Campagner, A. (2026). Missing but Not Missed: On Learnability Under Imputation. In Machine Learning and Knowledge Discovery in Databases. Research Track
European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part IV (pp.344-361). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-06078-5_20]. Dettaglio

Salvi, M., Seoni, S., Campagner, A., Gertych, A., Acharya, U., Molinari, F., et al. (2025). Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 197(May 2025) [10.1016/j.ijmedinf.2025.105846]. Dettaglio

Cabitza, F., Campagner, A., Fregosi, C., Cameli, M., Gallazzi, E., Sconfienza, L., et al. (2025). Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support. PROCEEDINGS OF THE ACM ON HUMAN-COMPUTER INTERACTION, 9(7), 1-28 [10.1145/3757601]. Dettaglio

Folgado, D., Famiglini, L., Campagner, A., Dores, H., Barandas, M., Gamboa, H., et al. (2025). Conformal Prediction for ECG Interpretation: A Study on Human-AI Collaboration in Clinical Decision Support. In Artificial Intelligence in Medicine 23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part I (pp.140-149). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-95838-0_14]. Dettaglio

Campagner, A., Biganzoli, E., Balsano, C., Cereda, C., Cabitza, F. (2025). Modeling unknowns: A vision for uncertainty-aware machine learning in healthcare. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 203(November 2025) [10.1016/j.ijmedinf.2025.106014]. Dettaglio