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Rank-based self-training for graph convolutional networks
(2021-03-01)
Graph Convolutional Networks (GCNs) have been established as a fundamental approach for representation learning on graphs, based on convolution operations on non-Euclidean domain, defined by graph-structured data. GCNs and ...
Application of training periodization models by elite judo coaches
(Int Scientific Literature, Inc, 2017-05-22)
Background and Study Aim: Periodization and structured training models are prominent concepts in the field of sports science. Nevertheless, the structure of the training of Brazilian elite judo athletes and the periodization ...
Application of training periodization models by elite judo coaches
(2017-01-01)
Background and Study Aim: Periodization and structured training models are prominent concepts in the field of sports science. Nevertheless, the structure of the training of Brazilian elite judo athletes and the periodization ...
On semi-supervised learning
(Springer, 2020-12)
Major efforts have been made, mostly in the machine learning literature, to construct good predictors combining unlabelled and labelled data. These methods are known as semi-supervised. They deal with the problem of how ...
La mímesis como adaptación y formación en la teoría de Horkheimer y Adorno: Aspectos teórico-críticos relevantesMimesis as adaptation and training in the theory of Horkheimer and Adorno
(Institución Universitaria de EnvigadoGrupo de Investigación sobre Formación y Antropología Pedagógica e Histórica (FORMAPH), 2016)
Immediate Effects of the Semi-Occluded Ventilation Mask on Subjects Diagnosed With Functional Dysphonia and Subjects With Normal Voices
(Mosby Inc., 2020)
© 2018 Elsevier Ltd Purpose: The present study was designed to assess the immediate effects of the semi-occluded ventilation mask (SOVM) in subjects with functional dysphonia and subjects with normal voice. Methods: ...
Training Needs of Academics on Inclusive Education and Disability
The aim of this article is to analyze, from the academic staff's perspective, the training needs they require to provide an inclusive education to students with disability. Academics from a Spanish university participated ...
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition
(Elsevier B.V., 2019-09-01)
The annotation of large datasets is an issue whose challenge increases as the number of labeled samples available to train the classifier reduces in comparison to the amount of unlabeled data. In this context, semi-supervised ...
Semi-supervised learning with connectivity-driven convolutional neural networks
(2019-12-01)
The annotation of large datasets is an issue whose challenge increases as the number of labeled samples available to train the classifier reduces in comparison to the amount of unlabeled data. In this context, semi-supervised ...