CAMPAGNER, ANDREA
CAMPAGNER, ANDREA
DIPARTIMENTO DI FISICA "GIUSEPPE OCCHIALINI"
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI
2024 Cabitza, F; Famiglini, L; Campagner, A; Sconfienza, L; Fusco, S; Caccavella, V; Gallazzi, E
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification
2024 Campagner, A; Barandas, M; Folgado, D; Gamboa, H; 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
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
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making
2024 Cabitza, F; Fregosi, C; Campagner, A; Natali, C
Learning from fuzzy labels: Theoretical issues and algorithmic solutions
2024 Campagner, A
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
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets
2024 Boffa, S; Campagner, A; Ciucci, D
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures
2024 Campagner, A; Milella, F; Banfi, G; Cabitza, F
Three-way decision in machine learning tasks: a systematic review
2024 Campagner, A; Milella, F; Ciucci, D; Cabitza, F
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering
2023 Campagner, A; Ciucci, D; Denoeux, T
A general framework for evaluating and comparing soft clusterings
2023 Campagner, A; Ciucci, D; Denoeux, T
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; Cabitza, F
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators
2023 Boffa, S; Campagner, A; Ciucci, D; Yao, Y
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
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
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
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
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems?
2023 Kieseberg, P; Weippl, E; Tjoa, A; Cabitza, F; Campagner, A; Holzinger, A
Credal Learning: Weakly Supervised Learning from Credal Sets
2023 Campagner, A