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CORTEX: Cost-sensitive rule and tree extraction method

delete2025-10-09
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PRE
AI
M
Marija Kopanja
M
Miloš Savić
L
Luca Longo
DOI:10.1016/j.knosys.2025.114592delete
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Abstract

Abstract

En 中文
• CORTEX is a novel cost-sensitive rule and tree extraction explainable AI method. • CORTEX is grounded in cost-sensitive tree algorithm for multi-class classification. • CORTEX can be applied to any machine learning model, including neural networks. • CORTEX provides a visual explanation through a tree model and set of rules. • CORTEX is competitive/superior with other tree/rule-based methods.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

U
University of Novi Sad
Scholars:
9.2K
Papers: 6.2K
Citations: 5.0K
D
Department of Computer Science
Scholars:
1.7K
Papers: 998
Citations: 8