Sfoglia per Autore
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
Everything is varied: The surprising impact of instantial variation on ML reliability
2023 Campagner, A; Famiglini, L; Carobene, A; Cabitza, F
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
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
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
Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI)
2023 Cadamuro, J; Cabitza, F; Debeljak, Z; De Bruyne, S; Frans, G; Perez, S; Ozdemir, H; Tolios, A; Carobene, A; Padoan, A
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice
2023 Cabitza, F; Campagner, A; Famiglini, L; Natali, C; Caccavella, V; Gallazzi, E
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
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; Cabitza, F
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
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
A parsimonious machine learning approach to detect inappropriate treatments in spine surgery on the basis of patient-reported outcomes
2022 Famiglini, L; Milella, F; Berjano, P; Cabitza, F
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning
2022 Cabitza, F; Campagner, A; Famiglini, L; Gallazzi, E; La Maida, G
Comparative Assessment of Two Data Visualizations to Communicate Medical Test Results Online
2022 Cabitza, F; Campagner, A; Conte, E
The unbearable (technical) unreliability of automated facial emotion recognition
2022 Cabitza, F; Campagner, A; Mattioli, M
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
2022 Famiglini, L; Campagner, A; Carobene, A; Cabitza, F
How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data
2022 Carobene, A; Milella, F; Famiglini, L; Cabitza, F
Re-calibrating Machine Learning Models Using Confidence Interval Bounds
2022 Campagner, A; Famiglini, L; Cabitza, F
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized Medicine
2022 Milella, F; Famiglini, L; Banfi, G; Cabitza, F
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