Contributo in atti di convegno, 2022, ENG, 10.3233/FAIA220209

Exemplars and counterexemplars explanations for skin lesion classifiers

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

Keywords

Image classification, Adversarial autoencoders, Skin lesion image classification, Machine Learning, Explainable AI

CNR authors

Metta Carlo, Rinzivillo Salvatore

CNR institutes

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

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:472030

DOI: 10.3233/FAIA220209

Scopus: 2-s2.0-85142188797