Contributo in atti di convegno, 2022, ENG, 10.3233/FAIA220209
Metta C.; Guidotti R.; Yin Y.; Gallinari P.; Rinzivillo S.
CNR-ISTI, Pisa Italy; University of Pisa, Pisa, Italy; Sorbonne Universite, Paris, France; Sorbonne Universite, Paris, France; CNR-ISTI, Pisa, Italy
Explainable AI consists in developing models allowing interaction between decision systems and humans by making the decisions understandable. We propose a case study for skin lesion diagnosis showing how it is possible to provide explanations of the decisions of deep neural network trained to label skin lesions.
HHAI2022 - Augmenting Human Intellect, pp. 258–260, Amsterdam, The Netherlands, 13-17/07/2022
Image classification, Adversarial autoencoders, Skin lesion image classification, Machine Learning, Explainable AI
Metta Carlo, Rinzivillo Salvatore
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 472030
Year: 2022
Type: Contributo in atti di convegno
Creation: 2022-10-12 18:20:02.000
Last update: 2024-01-30 15:12:46.000
CNR authors
EU Projects
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:472030
DOI: 10.3233/FAIA220209
Scopus: 2-s2.0-85142188797