Ivan Moloshnikov

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 8

Top Topics

Multiple Regression

Authorship Attribution

Top Venues

Big Data Cogn. Comput.

Publications

Alexander G. Sboev, Roman B. Rybka, Artem Gryaznov, Ivan Moloshnikov, Sanna Sboeva, Gleb Rylkov, Anton Selivanov
Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users. Big Data Cogn. Comput. 6 (4) (2022)
Alexander G. Sboev, Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Artem Gryaznov, Sanna Sboeva, Gleb Rylkov
Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications. Big Data Cogn. Comput. 6 (1) (2022)
Alexander G. Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman B. Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov, Viacheslav A. Ilyin
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. CoRR (2021)
Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Alexander G. Sboev
Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods. RCAI (2020)
Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova
Automatic gender identification of author of Russian text by machine learning and neural net algorithms in case of gender deception. BICA (2017)
Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova
Deep Learning neural nets versus traditional machine learning in gender identification of authors of RusProfiling texts. BICA (2017)
Tatiana Litvinova, Pavel Seredin, Olga Litvinova, Olga Zagorovskaya, Aleksandr Sboev, Dmitry Gudovskih, Ivan Moloshnikov, Roman B. Rybka
Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques. CDUD@CLA (2016)
Anton Selivanov, Aleksandr Sboev, Svetlana Gorokhova, Viktor Pfaf, Dmitry Gudovskikh, Roman B. Rybka, Aleksey Serenko, Ivan Moloshnikov
Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach. ICCS (2016)