Sfoglia per Autore
Interpretable heartbeat classification using local model-agnostic explanations on ECGs
2021 Neves, I; Folgado, D; Santos, S; Barandas, M; Campagner, A; Ronzio, L; Cabitza, F; Gamboa, H
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI
2020 Campagner, A; Cabitza, F
Evidence of significant difference in key covid-19 biomarkers during the italian lockdown strategy. A retrospective study on patients admitted to a hospital emergency department in northern italy
2020 Carobene, A; Ferrari, D; Campagner, A; Cabitza, F; Sabetta, E; Ceriotti, D; Di Resta, C; Locatelli, M
Approximate Reaction Systems Based on Rough Set Theory
2020 Campagner, A; Ciucci, D; Dorigatti, V
Assessment and prediction of spine surgery invasiveness with machine learning techniques
2020 Campagner, A; Berjano, P; Lamartina, C; Langella, F; Lombardi, G; Cabitza, F
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review
2020 Campagner, A; Cabitza, F; Ciucci, D
A Formal Learning Theory for Three-Way Clustering
2020 Campagner, A; Ciucci, D
The three-way-in and three-way-out framework to treat and exploit ambiguity in data
2020 Campagner, A; Cabitza, F; Ciucci, D
Entropy-based shadowed set approximation of intuitionistic fuzzy sets
2020 Campagner, A; Dorigatti, V; Ciucci, D
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques
2020 Campagner, A; Ciucci, D; Cabitza, F
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study
2020 Brinati, D; Campagner, A; Ferrari, D; Locatelli, M; Banfi, G; Cabitza, F
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability
2020 Cabitza, F; Campagner, A; Albano, D; Aliprandi, A; Bruno, A; Chianca, V; Corazza, A; Pietto, F; Gambino, A; Gitto, S; Messina, C; Orlandi, D; Pedone, L; Zappia, M; Sconfienza, L
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
2020 Cabitza, F; Campagner, A; Sconfienza, L
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory
2020 Campagner, A; Ciucci, D; Hüllermeier, E
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings
2020 Seveso, A; Campagner, A; Ciucci, D; Cabitza, F
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters
2020 Cabitza, F; Campagner, A; Balsano, C
Three–Way Classification: Ambiguity and Abstention in Machine Learning
2019 Campagner, A; Cabitza, F; Ciucci, D
Programmed Inefficiencies in DSS-Supported Human Decision Making
2019 Cabitza, F; Campagner, A; Ciucci, D; Seveso, A
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO
2019 Cabitza, F; Campagner, A; Ciucci, D
Exploring medical data classification with three-way decision trees
2019 Campagner, A; Cabitza, F; Ciucci, D
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