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

Campagner, A., Fregosi, C., Natali, C., Cabitza, F. (2026). Under what influence: Measuring AI influence to fit user profiles in decision-making. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 210(March 2026) [10.1016/j.ijhcs.2026.103763]. Dettaglio

Campagner, A., Lazzeroni, M., Pizzi, C., Sattin, C., Buccichini, G., Del Fabbro, M., et al. (2026). Weakly supervised treatment selection: Machine learning models for appropriate surgical planning of submandibular stones. COMPUTERS IN BIOLOGY AND MEDICINE, 202(1 February 2026) [10.1016/j.compbiomed.2025.111416]. Dettaglio

Chicco, D., Campagner, A., Spagnolo, A., Ciucci, D., Jurman, G. (2025). The Silhouette coefficient and the Davies-Bouldin index are more informative than Dunn index, Calinski-Harabasz index, Shannon entropy, and Gap statistic for unsupervised clustering internal evaluation of two convex clusters. PEERJ. COMPUTER SCIENCE, 11 [10.7717/peerj-cs.3309]. Dettaglio

Baroncini, A., Campagner, A., Cabitza, F., Langella, F., Barile, F., Bellosta-López, P., et al. (2025). The use of machine learning for the prediction of response to follow-up in spine registries. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 195(March 2025) [10.1016/j.ijmedinf.2024.105752]. Dettaglio