Sfoglia per Autore
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
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
Invisible to Machines: Designing AI that Supports Vision Work in Radiology
2024 Anichini, G; Natali, C; Cabitza, F
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification
2024 Campagner, A; Barandas, M; Folgado, D; Gamboa, H; Cabitza, F
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
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
The Tower of Babel in Explainable Artificial Intelligence (XAI)
2023 Schneeberger, D; Rottger, R; Cabitza, F; Campagner, A; Plass, M; Muller, H; Holzinger, A
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic
2023 Campagner, A; Famiglini, L; Arosio, B; Rossi, P; Annoni, G; Cabitza, F
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; Cabitza, F
Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series
2023 Folgado, D; Barandas, M; Famiglini, L; Santos, R; Cabitza, F; Gamboa, H
The HIBAD Experience: Using Digital Health Technologies in the GDPR Era
2023 Ferri, A; Agrati, S; Cabitza, F; Colombo, R; Filetti, S; Galeone, C; Lettieri, E; Mariani, P; Nobile, M; Pattini, L; Sfreddo, E; Molteni, M
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting
2023 Cabitza, F; Campagner, A; Natali, C; Parimbelli, E; Ronzio, L; Cameli, M
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis
2023 Cabitza, F; Campagner, A; Ronzio, L; Cameli, M; Mandoli, G; Pastore, M; Sconfienza, L; Folgado, D; Barandas, M; Gamboa, H
Artificial Intelligence and liver: Opportunities and barriers
2023 Balsano, C; Burra, P; Duvoux, C; Alisi, A; Piscaglia, F; Gerussi, A; Brunetto, M; Bonino, F; Montalti, R; Campanile, S; Persico, M; Alvaro, D; Santini, S; Invernizzi, P; Carbone, M; Masarone, M; Eccher, A; Siciliano, B; Vento, M; Ficuciello, F; Cabitza, F; Penasa, S; Donatelli, P
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use
2023 Famiglini, L; Campagner, A; Cabitza, F
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes
2023 Campagner, A; Milella, F; Guida, S; Bernareggi, S; Banfi, G; Cabitza, F
Enhancing human-AI collaboration: The case of colonoscopy
2023 Introzzi, L; Zonca, J; Cabitza, F; Cherubini, P; Reverberi, C
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
2023 Cabitza, F; Campagner, A; Basile, V
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making
2023 Natali, C; Famiglini, L; Campagner, A; La Maida, G; Gallazzi, E; Cabitza, F
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