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Learning with label proportions based on nonparallel support vector machines., , , , , and . Knowl. Based Syst., (2017)Multi-View Fusion Through Cross-Modal Retrieval., , , , , and . ICIP, page 1977-1981. IEEE, (2018)Supervised Object Boundary Detection Based on Structured Forests., , , , and . ICDS, volume 9208 of Lecture Notes in Computer Science, page 87-94. Springer, (2015)Pavement Distress Detection Using Random Decision Forests., , , , and . ICDS, volume 9208 of Lecture Notes in Computer Science, page 95-102. Springer, (2015)Review of graph construction and graph learning in stock price prediction., , and . ITQM, volume 214 of Procedia Computer Science, page 771-778. Elsevier, (2022)Laplacian SVM for Learning from Label Proportions., , , and . ICDM Workshops, page 847-852. IEEE Computer Society, (2016)Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation., , , , and . Eur. J. Oper. Res., 315 (2): 786-801 (2024)Several Novel Aggregation Functions for PHFS and Their Application to MCGDM., , , , , and . ISKE, page 29-35. IEEE, (2019)Unsupervised feature selection by non-convex regularized self-representation., , , , , and . Expert Syst. Appl., (2021)Linear Twin SVM for Learning from Label Proportions., , and . WI-IAT (3), page 56-59. IEEE Computer Society, (2015)978-1-4673-9618-9.