Sfoglia per Autore
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
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
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
Everything is varied: The surprising impact of instantial variation on ML reliability
2023 Campagner, A; Famiglini, L; Carobene, A; Cabitza, F
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
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
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems?
2023 Kieseberg, P; Weippl, E; Tjoa, A; Cabitza, F; Campagner, A; Holzinger, A
The Tower of Babel in Explainable Artificial Intelligence (XAI)
2023 Schneeberger, D; Rottger, R; Cabitza, F; Campagner, A; Plass, M; Muller, H; Holzinger, A
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; 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
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
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use
2023 Famiglini, L; Campagner, A; Cabitza, F
Enhancing human-AI collaboration: The case of colonoscopy
2023 Introzzi, L; Zonca, J; Cabitza, F; Cherubini, P; Reverberi, C
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
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
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
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
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
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
2023 Cabitza, F; Campagner, A; Basile, V
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile