Ivan Moloshnikov

According to our database, Ivan Moloshnikov authored at least 11 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia.

Alexander G. Sboev, Nikolai A. Kudryshov, Ivan A. Moloshnikov, Saveliy V. Zavertyaev, Aleksandr V. Naumov, Roman B. Rybka

CoRR, 2022

Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications.

Alexander G. Sboev, Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Artem Gryaznov, Sanna Sboeva, Gleb Rylkov

Big Data Cogn. Comput., 2022

Adverse Drug Reaction Concept Normalization in Russian-Language Reviews of Internet Users.

Alexander G. Sboev, Roman B. Rybka, Artem Gryaznov, Ivan Moloshnikov, Sanna Sboeva, Gleb Rylkov, Anton Selivanov

Big Data Cogn. Comput., 2022

Neural Network Method for Determining The Direction of a Person's Gaze based on a Web Camera Image Analysis.

M. S. Skorokhodov, Aleksander G. Sboev, Ivan A. Moloshnikov, Roman B. Rybka

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

On the accuracy of Covid-19 forecasting methods in Russia for two years.

Ivan A. Moloshnikov, Aleksander G. Sboev, Aleksandr V. Naumov, Saveliy V. Zavertyaev, Roman B. Rybka

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

2021

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.

Alexander G. Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman B. Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov, Viacheslav A. Ilyin

CoRR, 2021

2020

Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods.

Anton Selivanov, Ivan Moloshnikov, Roman B. Rybka, Alexander G. Sboev

Proceedings of the Artificial Intelligence - 18th Russian Conference, 2020

2017

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

Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

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

Alexander G. Sboev, Ivan Moloshnikov, Dmitry Gudovskikh, Anton Selivanov, Roman B. Rybka, Tatiana Litvinova

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

2016

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

Anton Selivanov, Aleksandr Sboev, Svetlana Gorokhova, Viktor Pfaf, Dmitry Gudovskikh, Roman B. Rybka, Aleksey Serenko, Ivan Moloshnikov

Proceedings of the International Conference on Computational Science 2016, 2016

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

Tatiana Litvinova, Pavel Seredin, Olga Litvinova, Olga Zagorovskaya, Aleksandr Sboev, Dmitry Gudovskih, Ivan Moloshnikov, Roman B. Rybka

Proceedings of the Third Workshop on Concept Discovery in Unstructured Data co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016