The three-way-in and three-way-out framework to treat and exploit ambiguity in data

Author:

Campagner Andrea,Cabitza Federico,Ciucci Davide

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference50 articles.

1. New frontiers in explainable AI: understanding the GI to interpret the GO;Cabitza,2019

2. A giant with feet of clay: on the validity of the data that feed machine learning in medicine;Cabitza,2019

3. Three–way classification: ambiguity and abstention in machine learning;Campagner,2019

4. Three-way and semi-supervised decision tree learning based on orthopartitions;Campagner,2018

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