2026-06-18T04:09:17Zhttps://riubu.ubu.es/oai/request

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

Garrido Labrador, José Luis Maudes Raedo, Jesús M. Rodríguez Diez, Juan José García Osorio, César Semi-supervised learning Python library Self-training Co-training Restricted set classification 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. 2025-01-16 2025-01-16 2025-01 info:eu-repo/semantics/article 2352-7110 http://hdl.handle.net/10259/9943 10.1016/j.softx.2024.102024 eng SoftwareX. 2025, V. 29, p. 102024 https://doi.org/10.1016/j.softx.2024.102024 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Elsevier