Weakly supervised classification through manifold learning and rank-based contextual measures

João Gabriel Camacho Presotto; Lucas Pascotti Valem; Nikolas Gomes de Sá; Daniel Carlos Guimarães Pedronette; João Paulo Papa

doi:10.1016/j.neucom.2024.127717

JOURNAL ARTICLE

Weakly supervised classification through manifold learning and rank-based contextual measures

João Gabriel Camacho Presotto Lucas Pascotti Valem Nikolas Gomes de Sá Daniel Carlos Guimarães Pedronette João Paulo Papa

Year: 2024 Journal: Neurocomputing Vol: 589 Pages: 127717-127717 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2024.127717

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Keywords:

Computer science Machine learning Artificial intelligence Labeled data Classifier (UML) Semi-supervised learning Supervised learning Convolutional neural network Correlation Pattern recognition (psychology) Learning to rank Artificial neural network Mathematics

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Weakly supervised classification through manifold learning and rank-based contextual measures

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