Artificial Representative Trees as Interpretable Surrogates for Random Forests

Lea Louisa Kronziel. Artificial Representative Trees as Interpretable Surrogates for Random Forests. In Luca Longo, Weiru Liu, Grégoire Montavon, editors, Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI-2024), Valletta, Malta, July 17-19, 2024. Volume 3793 of CEUR Workshop Proceedings, pages 409-416, CEUR-WS.org, 2024. [doi]

Abstract

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