Alexander Sboev

发表

A Non-fully-Connected Spiking Neural Network with STDP for Solving a Classification Task

Alexander Sboev, Roman Rybka, Alexey Serenko, 2020 .

Ensembling SNNs with STDP Learning on Base of Rate Stabilization for Image Classification

Alexander Sboev, Alexey Serenko, Danila Vlasov, 2020 .

Drilling Problems Forecast System Based on Neural Network

Alexey Arkhipov, Alexander Sboev, Sergey Borozdin, 2020 .

Automatic gender identification of author of Russian text by machine learning and neural net algorithms in case of gender deception

Alexander Sboev, Roman Rybka, Ivan Moloshnikov, 2017, BICA.

Application of artificial intelligence methods for identifying and predicting complications in the construction of oil and gas wells: problems and solutions

Alexander Sboev, Alexander D. Chernikov, Nikolay A. Eremin, 2020 .

Drilling Problems Forecast System Based on Neural Network (Russian)

Alexey Arkhipov, Alexander Sboev, Sergey Borozdin, 2020 .

To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity

Alexander Sboev, Roman Rybka, Alexey Serenko, 2018 .

To the Question of Learnability of a Spiking Neuron with Spike-Timing-Dependent Plasticity in Case of Complex Input Signals

Alexander Sboev, Roman Rybka, Alexey Serenko, 2016 .

Syntactic Analysis of the Sentences of the Russian Language Based on Neural Networks

Alexander Sboev, Roman Rybka, Ivan Moloshnikov, 2015 .

On the effect of stabilizing mean firing rate of a neuron due to STDP

Alexander Sboev, Roman Rybka, Alexey Serenko, 2017 .

Deep Learning neural nets versus traditional machine learning in gender identification of authors of RusProfiling texts

Alexander Sboev, Roman Rybka, Ivan Moloshnikov, 2018 .

A comparison of Data Driven models of solving the task of gender identification of author in Russian language texts for cases without and with the gender deception

Alexander Sboev, Roman Rybka, Ivan Moloshnikov, 2017 .

Solving a classification task by spiking neurons with STDP and temporal coding

Alexander Sboev, Roman Rybka, Alexey Serenko, 2017, BICA.

A comparison of learning abilities of spiking networks with different spike timing-dependent plasticity forms

Alexander Sboev, Roman Rybka, Alexey Serenko, 2016 .

Spiking neural network reinforcement learning method based on temporal coding and STDP

Alexander Sboev, Roman Rybka, Alexey Serenko, 2018, BICA.

A Quantitative Method of Text Emotiveness Evaluation on Base of the Psycholinguistic Markers Founded on Morphological Features

Alexander Sboev, Roman Rybka, Ivan Moloshnikov, 2015 .

An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets pdf

Alexander Sboev, Roman Rybka, Ivan Moloshnikov, 2021, ArXiv.