Semi-Supervised Rotation Forest

2025/12/27 by José Miguel Ramírez-Sanz, José Miguel Ramírez‐Sanz, David Martínez-Acha +4 · 1 voice
Computer Science · #Imbalanced Data Classification Techniques #Machine Learning and Data Classification #Text and Document Classification Technologies

paper · doi:10.1016/j.jocs.2025.102777

openalex created_date 2025/12/27 · openalex publication_date 2025/12/27 · crossref created 2025/12/27 · crossref issued 2026/02/01 · crossref published 2026/02/01 · crossref published-print 2026/02/01 · crossref deposited 2026/02/19 · crossref indexed 2026/02/19 · openalex updated_date 2026/06/15

Citations

• The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

Discussions

• Excited to share our latest paper! We’ve developed a new ensemble method for tabular data that reaches the performance of fully supervised models using only 20-30% labeled data. - Read it here: doi.or [bsky, 1 points, 0 comments]