CAMPAGNER, ANDREA
CAMPAGNER, ANDREA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
A general framework for evaluating and comparing soft clusterings
2023 Campagner, A; Ciucci, D; Denoeux, T
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
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
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection
2022 Campagner, A; Ciucci, D
A Distributional Approach for Soft Clustering Comparison and Evaluation
2022 Campagner, A; Ciucci, D; Denœux, T
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
Uncertainty representation in dynamical systems using rough set theory
2022 Campagner, A; Ciucci, D; Dorigatti, V
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
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision
2022 Campagner, A; Ciucci, D
Aggregation operators on shadowed sets
2022 Boffa, S; Campagner, A; Ciucci, D; Yao, Y
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
Re-calibrating Machine Learning Models Using Confidence Interval Bounds
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
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
2022 Famiglini, L; Campagner, A; Carobene, A; Cabitza, F
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
2022 Cabitza, F; Campagner, A; Famiglini, L
Belief functions and rough sets: Survey and new insights
2022 Campagner, A; Ciucci, D; Denoeux, T
The unbearable (technical) unreliability of automated facial emotion recognition
2022 Cabitza, F; Campagner, A; Mattioli, M
Identification of SARS-CoV-2 positivity using machine learning methods on blood count data: External validation of state-of-the-art models. [Identificazione di positività al SARS-CoV-2 attraverso metodi di Machine Learning sui dati dell'esame emocromocitometrico: Validazione esterna di modelli allo stato dell'arte]
2021 Carobene, A; Campagner, A; Sulejmani, A; Leoni, V; Seghezzi, M; Buoro, S; Cabitza, F
Assessing the impact of medical AI: A survey of physicians' perceptions
2021 Cabitza, F; Campagner, A; Cavosi, V