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A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica., , , , , , and . Medical Biol. Eng. Comput., 60 (4): 1159-1175 (2022)Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities., , , and . CoRR, (2021)Adapting the 2-class recursive deterministic perceptron neural network to m-classes., , , and . ICNN, page 1542-1546. IEEE, (1997)Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study., , and . Expert Syst. Appl., 38 (3): 2330-2346 (2011)On the Generalization of the m-Class RDP Neural Network., , and . ICANN (2), volume 5164 of Lecture Notes in Computer Science, page 734-743. Springer, (2008)Evolving a neural network using dyadic connections., , and . IJCNN, page 1019-1025. IEEE, (2008)State detection from electromyographic signals towards the control of prosthetic limbs., , and . UKCI, page 120-127. IEEE, (2013)A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans., , , , , , and . Inf. Sci., (2015)Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses., , and . UKCI, page 1-8. IEEE, (2014)Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images., , , , , , , and . CoRR, (2021)