CAMPAGNER, ANDREA
CAMPAGNER, ANDREA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
Missing but Not Missed: On Learnability Under Imputation
2026 Campagner, A
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification
2025 Campagner, A; Cabitza, F; Ciucci, D
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
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
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
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
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
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
softpy: A User-Friendly Python Library for Soft Computing
2025 Campagner, A; Ciucci, D
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
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
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
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI
2024 Cabitza, F; Famiglini, L; Campagner, A; Sconfienza, L; Fusco, S; Caccavella, V; Gallazzi, E
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification
2024 Campagner, A; Barandas, M; Folgado, D; Gamboa, H; Cabitza, F
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram
2024 Barandas, M; Famiglini, L; Campagner, A; Folgado, D; Simao, R; Cabitza, F; Gamboa, H
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems
2024 Famiglini, L; Campagner, A; Barandas, M; La Maida, G; Gallazzi, E; Cabitza, F
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making
2024 Cabitza, F; Fregosi, C; Campagner, A; Natali, C
Learning from fuzzy labels: Theoretical issues and algorithmic solutions
2024 Campagner, A
Never tell me the odds: Investigating pro-hoc explanations in medical decision making
2024 Cabitza, F; Natali, C; Famiglini, L; Campagner, A; Caccavella, V; Gallazzi, E