Sfoglia per Autore CABITZA, FEDERICO ANTONIO NICCOLO' AMEDEO
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
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
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
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility
2024 Cabitza, F; Campagner, A
Regole per l’intelligenza artificiale
2024 Rossetti, A; 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
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
Not in My Face: Challenges and Ethical Considerations in Automatic Face Emotion Recognition Technology
2024 Mattioli, M; Cabitza, F
CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
2024 Marconi, L; Pirovano, E; 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
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
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
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
Invisible to Machines: Designing AI that Supports Vision Work in Radiology
2024 Anichini, G; Natali, C; Cabitza, F
Preface
2023 Holzinger, A; Kieseberg, P; Cabitza, F; Campagner, A; Weippl, E; Tjoa, 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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