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Label repopulation through evolutionary computation for addressing challenging multilabel problems

delete2025-07-30
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OA
AI
N
Nicolás García‐Pedrajas *
J
J.A. Romero-del-Castillo
A
Aida de Haro-García
DOI：10.1016/j.asoc.2025.113523delete
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Abstract

Abstract

En 中文
• We propose a new method for improving any multi-label learning algorithm. • The method is based on repopulating the set of relevant labels using evolutionary computation. • The method achieves better testing errors compared to previous approaches. • The method is also efficient in the presence of missing labels.
Keywords:
Evolutionary computation
Multilabel classification
Label repopulation
Missing labels

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

No organization information available