CAMPAGNER, ANDREA
CAMPAGNER, ANDREA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
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
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
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
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
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
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets
2024 Boffa, S; Campagner, A; Ciucci, D
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures
2024 Campagner, A; Milella, F; Banfi, G; Cabitza, F
Three-way decision in machine learning tasks: a systematic review
2024 Campagner, A; Milella, F; Ciucci, D; Cabitza, F
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility
2024 Cabitza, F; Campagner, A
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering
2023 Campagner, A; Ciucci, D; Denoeux, T
A general framework for evaluating and comparing soft clusterings
2023 Campagner, A; Ciucci, D; Denoeux, T
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; Cabitza, F
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators
2023 Boffa, S; Campagner, A; Ciucci, D; Yao, Y
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making
2023 Cabitza, F; Campagner, A; Angius, R; Natali, C; Reverberi, F