Evolving meta-correlation classes for binary similarity-Reference-Cited by-同舟云学术

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Evolving meta-correlation classes for binary similarity

Published:2025-01 Issue: Volume:157 Page:110871
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Franzoni Valentina^ORCID,Biondi Giulio,Liu Yang^ORCID,Milani Alfredo

Publisher

Elsevier BV

Reference35 articles.

1. Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain tumors;Das;Pattern Recognit.,2023

2. A novel bio-inspired texture descriptor based on biodiversity and taxonomic measures;Ataky;Pattern Recognit.,2022

3. Triplet teaching graph contrastive networks with self-evolving adaptive augmentation;Miao;Pattern Recognit.,2023

4. Fermatean fuzzy similarity measures based on tanimoto and sørensen coefficients with applications to pattern classification, medical diagnosis and clustering analysis;Liu;Eng. Appl. Artif. Intell.,2024

5. Semantic similarity measures for topological link prediction;Biondi,2020

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