WebSHAP: Towards Explaining Any Machine Learning Models Anywhere

Zijie J. Wang, Duen Horng Chau. WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. In Ying Ding 0001, Jie Tang 0001, Juan F. Sequeda, Lora Aroyo, Carlos Castillo 0001, Geert-Jan Houben, editors, Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. pages 262-266, ACM, 2023. [doi]

Abstract

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