Sfoglia per Autore
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
Everything is varied: The surprising impact of instantial variation on ML reliability
2023 Campagner, A; Famiglini, L; Carobene, A; Cabitza, F
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
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
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use
2023 Famiglini, L; Campagner, A; 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
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
2022 Famiglini, L; Campagner, A; Carobene, A; Cabitza, F
A Confidence Interval-Based Method for Classifier Re-Calibration
2022 Campagner, A; Famiglini, L; Cabitza, F
Machine Learning and Laboratory Values in the Diagnosis, Prognosis and Vaccination Strategy of COVID-19
2022 Carobene, A; Famiglini, L; Sabetta, E; Naclerio, A; Banfi, G
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
2022 Cabitza, F; Campagner, A; Famiglini, L
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)
2022 Milella, F; Seveso, A; Famiglini, L; Banfi, G; 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
Re-calibrating Machine Learning Models Using Confidence Interval Bounds
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
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
On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm
2021 Famiglini, L; Fersini, E; Rosso, P
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data
2021 Famiglini, L; Bini, G; Carobene, A; Campagner, A; Cabitza, F
Surveilling COVID-19 emotional contagion on Twitter
2021 Crocamo, C; Viviani, M; Famiglini, L; Bartoli, F; Pasi, G; Carrà, G
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