On robust randomized neural networks for regression: a comprehensive review and evaluation
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DOI: 10.1007/s00521-020-04994-5
Abstract: Data from real-world regression problems are quite often contaminated with outliers. In order to efficiently handle such undesirable samples, robust parameter estimation methods have been incorporated into randomized neural network (RNN) models, usually replacing the… read more here.
Keywords: rnn models; neural networks; robust randomized; randomized neural ... See more keywords
Detecting pathological brain via ResNet and randomized neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Heliyon"
DOI: 10.1016/j.heliyon.2020.e05625
Abstract: Brain disease is one of the leading causes of death nowadays. Medical imaging is the most effective method for brain disease diagnosis, which provides a clear view of the interior brain. However, manual interpretation requires… read more here.
Keywords: pathological brain; neural networks; randomized neural; resnet randomized ... See more keywords