Multi-label learning on low label density sets with few examples

Open Webpage

Matías Vergara, Benjamin Bustos, Ivan Sipiran, Tobias Schreck, Stefan Lengauer

Published: 01 Jan 2025, Last Modified: 12 Nov 2025Expert Syst. Appl. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We present a problem for multi-label learning in few examples with low label density.•We propose a pipeline to achieve effective classifications on the proposed problem.•We examine the limits of current techniques against low density and small data.