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Detecting epileptic seizures in advance using optical and electrical recordings., , , , , , и . CONIELECOMP, стр. 1-4. IEEE, (2017)Prediction of epileptic seizures using fNIRS and machine learning., , , , , , и . J. Intell. Fuzzy Syst., 38 (2): 2055-2068 (2020)False Positive Reduction by an Annular Model as a Set of Few Features for Microcalcification Detection to Assist Early Diagnosis of Breast Cancer., , и . J. Medical Systems, 42 (8): 134:1-134:9 (2018)Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals., , , , , , и . Comput. Biol. Medicine, (2019)Learning Financial Time Series for Prediction of the Stock Exchange Market., и . CATA, том 58 из EPiC Series in Computing, стр. 418-427. EasyChair, (2019)Intrusion Detection and Classification of Attacks in High-Level Network Protocols Using Recurrent Neural Networks., , , , и . TeNe, стр. 129-134. Springer, (2008)Recognizing Actions of Humans in Motion for Smart Environments., , , , и . Intelligent Environments (Workshops), том 18 из Ambient Intelligence and Smart Environments, стр. 4-15. IOS Press, (2014)Distance Transform Approximation with a Multilayer Perceptron for 2D Image Recognition., и . CONIELECOMP, стр. 213-216. IEEE Computer Society, (2005)A method to assist in the diagnosis of early diabetic retinopathy: Image processing applied to detection of microaneurysms in fundus images., , , и . Comput. Medical Imaging Graph., (2015)Learning matte extraction in green screen images with MLP classifiers and the back-propagation algorithm., , , и . CONIELECOMP, стр. 148-155. IEEE, (2016)