False flag: An evolutionary false labeling approach for multi-label classification
Nicolás E. García-Pedrajas, J. Manuel Cuevas-Muñoz,
Manuel Mendoza-Hurtado, Juan Pérez-Rodríguez,
Aída de Haro-García
2024
Applied Soft Computing (accepted)
Abstract
This paper presents False Flag, an evolutionary false labeling approach for
multi-label classification. The method addresses challenges in multi-label learning through an
innovative evolutionary strategy for handling label noise and improving classification performance.
Publication
Applied Soft Computing (accepted)