Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson's Disease

Alessia Sarica, Andrea Quattrone, Aldo Quattrone. Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson's Disease. In Mufti Mahmud, Jing He, Stefano Vassanelli, André Van Zundert, Ning Zhong, editors, Brain Informatics - 15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, Proceedings. Volume 13406 of Lecture Notes in Computer Science, pages 129-139, Springer, 2022. [doi]

Abstract

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