Sfoglia per Autore
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification
2024 Campagner, A; Barandas, M; Folgado, D; Gamboa, H; Cabitza, F
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
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets
2024 Boffa, S; Campagner, A; Ciucci, D
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
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
Robust Learning Methods for Imprecise Data and Cautious Inference
2023 Campagner, A
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
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
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
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
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
2023 Cabitza, F; Campagner, A; Basile, V
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
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
Learning from fuzzy labels: Theoretical issues and algorithmic solutions
2023 Campagner, 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
Everything is varied: The surprising impact of instantial variation on ML reliability
2023 Campagner, A; Famiglini, L; Carobene, A; Cabitza, F
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators
2023 Boffa, S; Campagner, A; Ciucci, D; Yao, Y
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