Sfoglia per Autore
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
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
Aggregation models in ensemble learning: A large-scale comparison
2023 Campagner, A; Ciucci, D; Cabitza, F
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
A Confidence Interval-Based Method for Classifier Re-Calibration
2022 Campagner, A; Famiglini, L; Cabitza, F
A Distributional Approach for Soft Clustering Comparison and Evaluation
2022 Campagner, A; Ciucci, D; Denœux, T
Aggregation operators on shadowed sets
2022 Boffa, S; Campagner, A; Ciucci, D; Yao, Y
Re-calibrating Machine Learning Models Using Confidence Interval Bounds
2022 Campagner, A; Famiglini, L; Cabitza, F
Uncertainty representation in dynamical systems using rough set theory
2022 Campagner, A; Ciucci, D; Dorigatti, V
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions
2022 Campagner, A; Sternini, F; Cabitza, F
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
2022 Famiglini, L; Campagner, A; Carobene, A; Cabitza, F
Orthopartitions in Knowledge Representation and Machine Learning
2022 Ciucci, D; Boffa, S; Campagner, A
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
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision
2022 Campagner, A; Ciucci, D
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition
2022 Bento, N; Rebelo, J; Barandas, M; Carreiro, A; Campagner, A; Cabitza, F; Gamboa, H
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection
2022 Campagner, A; Ciucci, D
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning
2022 Campagner, A; Lienen, J; Hullermeier, E; Ciucci, D
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
2022 Cabitza, F; Campagner, A; Famiglini, L
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
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