Sfoglia per Autore
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
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; 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
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
Everything is varied: The surprising impact of instantial variation on ML reliability
2023 Campagner, A; Famiglini, L; Carobene, A; Cabitza, F
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
2023 Cabitza, F; Campagner, A; Basile, V
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
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering
2023 Milella, F; Natali, C; Scantamburlo, T; Campagner, A; 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
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
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
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
A Confidence Interval-Based Method for Classifier Re-Calibration
2022 Campagner, A; Famiglini, L; Cabitza, F
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
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)
2022 Milella, F; Seveso, A; Famiglini, L; Banfi, G; Cabitza, F
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
2022 Cabitza, F; Campagner, A; Famiglini, L
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions
2022 Campagner, A; Sternini, F; Cabitza, F
The unbearable (technical) unreliability of automated facial emotion recognition
2022 Cabitza, F; Campagner, A; Mattioli, M
Re-calibrating Machine Learning Models Using Confidence Interval Bounds
2022 Campagner, A; Famiglini, L; Cabitza, F
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