Aleksandr Sboev

Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques

Tatiana Litvinova, Olga Litvinova, Pavel Seredin, 2016, CDUD@CLA.

On the applicability of STDP-based learning mechanisms to spiking neuron network models

Roman Rybka, Danila Vlasov, Aleksandr Sboev, 2016 .

Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm

Andrey Filchenkov, Roman Rybka, Alexey Serenko, 2018, BICA.

Data-driven Approaches to Author’s Profiling Identification for Russian Texts on Base of Complex Machine Learning Models in Combinations with Siamese Networks

Roman Rybka, Aleksandr Sboev, Ivan Moloshnikov, 2018 .

Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach

Anton Selivanov, Aleksandr Sboev, Ivan Moloshnikov, 2016, ICCS.

The sources of new words and expressions in the Chinese Internet language and the ways by which they enter the Internet language

Aleksandr Sboev, 2016, PACLIC.

"Ruspersonality": A Russian corpus for authorship profiling and deception detection

Tatiana Litvinova, Pavel Seredin, Olga Zagorovskaya, 2016, 2016 International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT).

Deep Learning Network Models to Categorize Texts According to Author's Gender and to Identify Text Sentiment

Roman Rybka, Aleksandr Sboev, Dmitry Gudovskikh, 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).

STDP-Based Classificational Spiking Neural Networks Combining Rate and Temporal Coding

Alexey Serenko, Danila Vlasov, Aleksandr Sboev, 2020 .

Author Gender Prediction in Russian Social Media Texts

Paolo Rosso, Tatiana Litvinova, Olga Litvinova, 2017, AIST.