2026-08-19T08:35:14Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/99432025-01-17T01:05:29Zcom_10259_4219com_10259_5086com_10259_2604col_10259_4220

00925njm 22002777a 4500 dc Garrido Labrador, José Luis author Maudes Raedo, Jesús M. author Rodríguez Diez, Juan José author García Osorio, César author 2025-01 SSLearn is an open-source Python-based library that advances semi-supervised learning (SSL) with a focus on wrapper algorithms and restricted set classification (RSC), a novel paradigm. It fosters innovation by allowing researchers to modify methods or create new ones, facilitating access to state-of-the-art algorithms and comparative studies. As the only library incorporating RSC for constrained classification, SSLearn fills an important gap in SSL tools. Fully compatible with Scikit-Learn, it integrates seamlessly into research workflows, lowering the barrier to entry to SSL and catalyzing its adoption in diverse domains. This makes SSLearn a critical resource for advancing SSL research and applications. 2352-7110 http://hdl.handle.net/10259/9943 10.1016/j.softx.2024.102024 Semi-supervised learning Python library Self-training Co-training Restricted set classification SSLearn: A Semi-Supervised Learning library for Python