Sfoglia per Autore
Credal Learning: Weakly Supervised Learning from Credal Sets
2023 Campagner, A
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators
2023 Boffa, S; Campagner, A; Ciucci, D; Yao, Y
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use
2023 Famiglini, L; Campagner, A; Cabitza, F
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
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
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; Cabitza, F
A Confidence Interval-Based Method for Classifier Re-Calibration
2022 Campagner, A; Famiglini, L; Cabitza, F
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions
2022 Campagner, A; Sternini, F; Cabitza, F
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning
2022 Cabitza, F; Campagner, A; Famiglini, L; Gallazzi, E; La Maida, G
A Distributional Approach for Soft Clustering Comparison and Evaluation
2022 Campagner, A; Ciucci, D; Denœux, T
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision
2022 Campagner, A; Ciucci, D
The multicenter European Biological Variation Study (EuBIVAS): A new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands
2022 Carobene, A; Campagner, A; Uccheddu, C; Banfi, G; Vidali, M; Cabitza, F
Orthopartitions in Knowledge Representation and Machine Learning
2022 Ciucci, D; Boffa, S; Campagner, A
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection
2022 Campagner, A; Ciucci, D
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
2022 Famiglini, L; Campagner, A; Carobene, A; Cabitza, F
Belief functions and rough sets: Survey and new insights
2022 Campagner, A; Ciucci, D; Denoeux, T
Uncertainty representation in dynamical systems using rough set theory
2022 Campagner, A; Ciucci, D; Dorigatti, V
Aggregation operators on shadowed sets
2022 Boffa, S; Campagner, A; Ciucci, D; Yao, Y
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
2022 Cabitza, F; Campagner, A; Famiglini, L
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