Sfoglia per Autore
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
Learning from fuzzy labels: Theoretical issues and algorithmic solutions
2024 Campagner, A
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
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
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
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
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
Three-way decision in machine learning tasks: a systematic review
2024 Campagner, A; Milella, F; Ciucci, D; Cabitza, F
Robust Learning Methods for Imprecise Data and Cautious Inference
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
The Tower of Babel in Explainable Artificial Intelligence (XAI)
2023 Schneeberger, D; Rottger, R; Cabitza, F; Campagner, A; Plass, M; Muller, H; Holzinger, A
A general framework for evaluating and comparing soft clusterings
2023 Campagner, A; Ciucci, D; Denoeux, T
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering
2023 Campagner, A; Ciucci, D; Denoeux, T
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
2023 Cabitza, F; Campagner, A; Basile, V
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
Credal Learning: Weakly Supervised Learning from Credal Sets
2023 Campagner, A
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
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
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