CAMPAGNER, ANDREA
CAMPAGNER, ANDREA
DIPARTIMENTO DI FISICA "GIUSEPPE OCCHIALINI"
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
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
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
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
Everything is varied: The surprising impact of instantial variation on ML reliability
2023 Campagner, A; Famiglini, L; Carobene, A; Cabitza, F
Learning from fuzzy labels: Theoretical issues and algorithmic solutions
2023 Campagner, A
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
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
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