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Semisupervised, Multilabel, Multi-Instance Learning for Structured Data.

, and . Neural Comput., 29 (4): 1053-1102 (2017)

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Exploiting the value of class labels on high-dimensional feature spaces: topic models for semi-supervised document classification., and . Pattern Anal. Appl., 22 (2): 299-309 (2019)Segmentation of Breast MRI Scans in the Presence of Bias Fields., , and . ICIAR (1), volume 11662 of Lecture Notes in Computer Science, page 376-387. Springer, (2019)Characterizing styles of clinical note production and relationship to clinical work hours among first-year residents., , , and . J. Am. Medical Informatics Assoc., 29 (1): 120-127 (2021)Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms., , , , and . CoRR, (2023)Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification., and . CoRR, (2023)Weighted PCA for improving Document Image Retrieval System based on keyword spotting accuracy., , , , and . TSP, page 773-777. IEEE, (2013)Parsimonious Topic Models with Salient Word Discovery., and . IEEE Trans. Knowl. Data Eng., 27 (3): 824-837 (2015)Exploiting the value of class labels in topic models for semi-supervised document classification., and . IJCNN, page 4025-4031. IEEE, (2016)2D X-Ray Mammogram and 3D Breast MRI Registration., and . MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 150-159. Springer, (2020)On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning., and . IEEE Access, (2020)