Sfoglia per Autore
Weakly supervised treatment selection: Machine learning models for appropriate surgical planning of submandibular stones
2026 Campagner, A; Lazzeroni, M; Pizzi, C; Sattin, C; Buccichini, G; Del Fabbro, M; Tartaglia, G; Firetto, M; Carrafiello, G; Koch, M; Capaccio, P; Cabitza, F
Missing but Not Missed: On Learnability Under Imputation
2026 Campagner, A
An Evidence-Theoretic Framework for Online Learning from Expert Advice
2025 Campagner, A; Arredondo, F; Ciucci, D; Cabitza, F
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care
2025 Campagner, A; Marconi, L; Bianchi, E; Arosio, B; Rossi, P; Annoni, G; Lucchi, T; Montano, N; Cabitza, F
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study
2025 Campagner, A; Agnello, L; Carobene, A; Padoan, A; Del Ben, F; Locatelli, M; Plebani, M; Ognibene, A; Lorubbio, M; De Vecchi, E; Cortegiani, A; Piva, E; Poz, D; Curcio, F; Cabitza, F; Ciaccio, M
Validating Kasparov’s Law Through Human–AI Collaboration in Clinical Diagnosis
2025 Papale, A; Lopiano, G; Campagner, A; Cabitza, F
softpy: A User-Friendly Python Library for Soft Computing
2025 Campagner, A; Ciucci, D
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification
2025 Campagner, A; Cabitza, F; Ciucci, D
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
2025 Chicco, D; Campagner, A; Spagnolo, A; Ciucci, D; Jurman, G
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare
2025 Salvi, M; Seoni, S; Campagner, A; Gertych, A; Acharya, U; Molinari, F; Cabitza, F
The use of machine learning for the prediction of response to follow-up in spine registries
2025 Baroncini, A; Campagner, A; Cabitza, F; Langella, F; Barile, F; Bellosta-López, P; Compagnone, D; Cecchinato, R; Damilano, M; Redaelli, A; Vanni, D; Berjano, P
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support
2025 Cabitza, F; Campagner, A; Fregosi, C; Cameli, M; Gallazzi, E; Sconfienza, L; Tontini, G
Conformal Prediction for ECG Interpretation: A Study on Human-AI Collaboration in Clinical Decision Support
2025 Folgado, D; Famiglini, L; Campagner, A; Dores, H; Barandas, M; Gamboa, H; Cabitza, F
Explainable Machine Learning for Neonatal Screening: A Fast&Frugal Decision Tree for Rare Metabolic Disease Detection
2025 Lopiano, G; Campagner, A; Cereda, C; Carelli, S; Cabitza, F
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery
2025 Briguglio, M; Campagner, A; Langella, F; Cecchinato, R; Damilano, M; Bellosta-López, P; Crespi, T; De Vecchi, E; Latella, M; Barone, G; Scaramuzzo, L; Bassani, R; Luca, A; Brayda-Bruno, M; Wainwright, T; Middleton, R; Lombardi, G; Cabitza, F; Banfi, G; Berjano, P
Modeling unknowns: A vision for uncertainty-aware machine learning in healthcare
2025 Campagner, A; Biganzoli, E; Balsano, C; Cereda, C; Cabitza, F
The role of artificial intelligence in the clinical laboratory: challenges and opportunities Highlights from the artificial intelligence in the Clinical Laboratory Session at the 56th SIBioC Congress, 2024
2025 Carobene, A; Gruson, D; Cadamuro, J; Cabitza, F; Agnello, L; Campagner, A; Padoan, A
Learning from fuzzy labels: Theoretical issues and algorithmic solutions
2024 Campagner, A
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility
2024 Cabitza, F; Campagner, A
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems
2024 Natali, C; Campagner, A; Cabitza, F
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