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Exploring convolutional neural networks and topic models for user profiling from drug reviews
Tutubalina E., Nikolenko S.
processing techniques, including extensions of topic models and convolutional neural networks (CNN). We apply
ON TRANSFER LEARNING METHODS IN BIOMEDICAL IMAGES CLASSIFICATION TASKS [О МЕТОДАХ ПЕРЕНОСА ГЛУБОКОГО ОБУЧЕНИЯ В ЗАДАЧАХ КЛАССИФИКАЦИИ БИОМЕДИЦИНСКИХ ИЗОБРАЖЕНИЙ]
Shchetinin E.Yu., Sevastianov L.A.
convolutional networks VGG-16, ResNet-50, Xception, and MobileNetV2 were used as the baseline models, pre
Cardiac Arrhythmia Disorders Detection with Deep Learning Models
Shchetinin E.Y., Sevastianov L.A., Demidova A.V., Glushkova A.G.
of the electrocardiogram classifier is proposed, as an ensemble of a two-dimensional convolutional neural network and a
Video Sequence Filtering Based On Convolutional Neural Network
Nayyef Mohanad Nidhal Nayyef
Video Sequence Filtering Based On Convolutional Neural Network
Классификация сигналов с использованием технологии нейронных сетей
Сторожок, Е. А., Дорофеев, Г. В., Стародубцев, П. А., Storozhok, Eugenii A., Dorofeev, Grigorii V., Starodubtsev, Pavel A.
. The article considers the possibility of solving the problem of signal classification using neural network
Modeling of internal combustion engines test conditions based on neural network
Galiullin L., Valiev R.
Modeling of internal combustion engines test conditions based on neural network
Identification of pathobiomechanical markers of statokinesiograms on the example of neural network identification of a post-stroke state
Stepanyan I.V., Grokhovsky S.S., Savkin M.O.
The purpose of this study is neural network modeling and determination of the parameters
Multi-Branch Convolutional Neural Network Architecture for Glaucoma Diagnosis Using Optical Coherence Tomography Biomarkers and Synthetic Image Simulation
Usenko, P. V., Prudnik, A. M.
This paper presents a multi-branch convolutional neural network designed for glaucoma diagnosis
Simulation of Hydrogen Combustion at Different Pressures Using a Neural Network
Mal’sagov M.Y., Mikhal’chenko E.V., Karandashev I.M., Nikitin V.F.
The possibility of solving problems of chemical kinetics using artificial neural networks
On some Commutative and Idempotent Finite Groupoids Associated with Subnets of Multilayer Feedforward Neural Networks
Litavrin, Andrey V., Moiseenkova, Tatyana V., Литаврин, Андрей В., Моисеенкова, Татьяна В.
. These groupoids model the union and intersection of generalized subnets of a neural network. The conditions

Страница 20 из 5746

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