Sfoglia per Autore
The Challenges and Promises of Artifcial Intelligence in the Contemporary Society: A Critical Perspective
2024 Marconi, L; 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
Three-way decision in machine learning tasks: a systematic review
2024 Campagner, A; Milella, F; Ciucci, D; 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
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
Invisible to Machines: Designing AI that Supports Vision Work in Radiology
2024 Anichini, G; Natali, C; Cabitza, F
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
Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process
2024 Carobene, A; Padoan, A; Cabitza, F; Banfi, G; Plebani, M
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
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
2024 Longo, L; Brcic, M; Cabitza, F; Choi, J; Confalonieri, R; Ser, J; Guidotti, R; Hayashi, Y; Herrera, F; Holzinger, A; Jiang, R; Khosravi, H; Lecue, F; Malgieri, G; Páez, A; Samek, W; Schneider, J; Speith, T; Stumpf, S
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
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
The Effect of Holographic Heart Models and Mixed Reality for Anatomy Learning in Congenital Heart Disease: An Exploratory Study
2023 D'Aiello, A; Cabitza, F; Natali, C; Vigano, S; Ferrero, P; Bognoni, L; Pasqualin, G; Giamberti, A; Chessa, 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
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
2023 Cabitza, F; Campagner, A; Basile, V
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
Everything is varied: The surprising impact of instantial variation on ML reliability
2023 Campagner, A; Famiglini, L; Carobene, A; 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
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI
2023 Cabitza, F; Campagner, A; Malgieri, G; Natali, C; Schneeberger, D; Stoeger, K; 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
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