CAMPAGNER, ANDREA

CAMPAGNER, ANDREA  

DIPARTIMENTO DI FISICA "GIUSEPPE OCCHIALINI"  

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Titolo Tipologia Data di pubblicazione Autori File
Measuring uncertainty in orthopairs 02 - Intervento a convegno 2017 CAMPAGNER, ANDREACIUCCI, DAVIDE ELIO
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 02 - Intervento a convegno 2018 Campagner, ACiucci, D
Three–Way Classification: Ambiguity and Abstention in Machine Learning 02 - Intervento a convegno 2019 Campagner A.Cabitza F.Ciucci D.
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 01 - Articolo su rivista 2019 Campagner, ACiucci, D.
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 02 - Intervento a convegno 2019 Cabitza F.Campagner A.Ciucci D.
Programmed Inefficiencies in DSS-Supported Human Decision Making 02 - Intervento a convegno 2019 Cabitza F.Campagner A.Ciucci D.Seveso A.
Exploring medical data classification with three-way decision trees 02 - Intervento a convegno 2019 Campagner, ACabitza, FCiucci, D
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 03 - Contributo in libro 2020 Campagner, ACabitza, F
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 01 - Articolo su rivista 2020 Campagner, AndreaCabitza, FedericoCiucci, Davide
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 01 - Articolo su rivista 2020 Cabitza F.Campagner A. +
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 01 - Articolo su rivista 2020 Cabitza, FedericoCampagner, Andrea +
Assessment and prediction of spine surgery invasiveness with machine learning techniques 01 - Articolo su rivista 2020 Campagner A.Cabitza F. +
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 01 - Articolo su rivista 2020 Campagner A.Dorigatti V.Ciucci D.
A Formal Learning Theory for Three-Way Clustering 02 - Intervento a convegno 2020 Campagner, AndreaCiucci, Davide
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 01 - Articolo su rivista 2020 Campagner A.Cabitza F.Di Resta C. +
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 01 - Articolo su rivista 2020 Seveso, AndreaCampagner, AndreaCiucci, DavideCabitza, Federico
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 01 - Articolo su rivista 2020 Campagner A.Cabitza F. +
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 01 - Articolo su rivista 2020 Cabitza F.Campagner A. +
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 02 - Intervento a convegno 2020 Andrea CampagnerDavide CiucciFederico Cabitza
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 02 - Intervento a convegno 2020 Campagner, AndreaCiucci, Davide +