Media type: E-Article Title: Argumentation-based Explainable Machine Learning (ArgEML): a Real-life Use Case on Gynecological Cancer Contributor: Prentzas, Nicoletta [VerfasserIn]; Gavrielidou, Athena [VerfasserIn]; Neofytou, Marios [VerfasserIn]; Kakas, Antonis [VerfasserIn] imprint: 2022 Published in: Workshop on Argumentation & Machine Learning (1. : 2022 : Cardiff): ArgML 2022: Argumentation & Machine Learning ; (2022), Seite 1-13 Language: English Origination: Footnote: Access State: Open Access