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Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer., , , and . BMC Bioinform., 22 (1): 395 (2021)What is the state of the art? Accounting for multiplicity in machine learning benchmark performance., and . CoRR, (2023)On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering., , and . CoRR, (2016)Divergence-based colour features for melanoma detection., , and . CVCS, page 1-6. IEEE, (2015)Publicly available datasets of breast histopathology H&E whole-slide images: A systematic review., , , , and . CoRR, (2023)Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists., , , , , , , , , and . Artif. Intell. Medicine, 60 (1): 13-26 (2014)Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs., , and . CoRR, (2018)A bag-to-class divergence approach to multiple-instance learning., , and . CoRR, (2018)A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images., , , , , , , and . CoRR, (2022)Instance Segmentation of Microscopic Foraminifera., , , and . CoRR, (2021)