CAMPAGNER, ANDREA

CAMPAGNER, ANDREA  

DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE  

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Titolo Tipologia Data di pubblicazione Autori File
Artificial Intelligence in hepatology: A position paper by the Italian Association for the Study of the Liver 01 - Articolo su rivista 2026 Campagner A.Gerussi A. +
Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis 02 - Intervento a convegno 2026 Cabitza F.Campagner A. +
Diversity Clustering: A Soft Clustering Model Inspired by Ecological Diversity 02 - Intervento a convegno 2026 Campagner A.Ciucci D. +
Leveraging Causal Graphs to Improve LLM-Based Causal Reasoning: an Empirical Study 02 - Intervento a convegno 2026 Lopiano G.Campagner A.Ciucci D. +
Majority-consensus and harmony-guided evidential multimodal classification 01 - Articolo su rivista 2026 Campagner A.Ciucci D. +
Missing but Not Missed: On Learnability Under Imputation 02 - Intervento a convegno 2026 Campagner A.
Predictive Factors of Inpatient Rehabilitation Outcomes and Stay: A Machine Learning Study with Temporal Validation 01 - Articolo su rivista 2026 Campagner A. +
Too Sure for Our Own Good: A User Study on AI Confidence and Human Reliance 02 - Intervento a convegno 2026 Fregosi C.Campagner A.Cabitza F. +
Under what influence: Measuring AI influence to fit user profiles in decision-making 01 - Articolo su rivista 2026 Campagner A.Fregosi C.Cabitza F. +
Weakly supervised treatment selection: Machine learning models for appropriate surgical planning of submandibular stones 01 - Articolo su rivista 2026 Campagner A.Cabitza F. +
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 02 - Intervento a convegno 2025 Campagner A.Cabitza F.Ciucci D.
An Evidence-Theoretic Framework for Online Learning from Expert Advice 02 - Intervento a convegno 2025 Campagner A.Ciucci D.Cabitza F. +
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 01 - Articolo su rivista 2025 Campagner A.Cabitza F. +
Conformal Prediction for ECG Interpretation: A Study on Human-AI Collaboration in Clinical Decision Support 02 - Intervento a convegno 2025 Famiglini L.Campagner A.Cabitza F. +
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 01 - Articolo su rivista 2025 Campagner A.Cabitza F. +
Explainable Machine Learning for Neonatal Screening: A Fast&Frugal Decision Tree for Rare Metabolic Disease Detection 02 - Intervento a convegno 2025 Lopiano G.Campagner A.Cabitza F. +
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support 01 - Articolo su rivista 2025 Cabitza F.Campagner A.Fregosi C. +
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 01 - Articolo su rivista 2025 Campagner A.Cabitza F. +
Modeling unknowns: A vision for uncertainty-aware machine learning in healthcare 01 - Articolo su rivista 2025 Campagner A.Cabitza F. +
softpy: A User-Friendly Python Library for Soft Computing 02 - Intervento a convegno 2025 Campagner A.Ciucci D.