Explaining data changes with prototypes: A measure-driven approach

Jacek Karolczak

doi:10.1016/j.inffus.2025.103602

2025-08-09

Jacek Karolczak *

Jerzy Stefanowski

DOI：10.1016/j.inffus.2025.103602

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摘要

En 中文

• 静态和动态场景下评估原型解释的新方法。 • RACE-P：一种基于原型的可解释概念漂移检测算法。 • 在演化数据上，RACE-P表现出与漂移检测器相当的性能。 • 原型解释被用于分析概念漂移，增强模型的可解释性。

Keyword:

Explainable Artificial Intelligence

Prototype explanation

Data shift

Evolving data stream

期刊

Information Fusion

IF:

15.5

论文数:

4.2K

被引数:

2.7W

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