Персона: Климов, Валентин Вячеславович
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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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Валентин Вячеславович
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28 results
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- ПубликацияТолько метаданныеSemantic Social Web Applications: Wiki Web(2024) Belozerov, A.; Klimov, V.; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеComputational modeling of insight processes and artificial cognitive ontogeny(2023) Red'ko, V. G.; Samsonovich, A. V.; Klimov, V. V.; Самсонович, Алексей Владимир; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеNatural and Artificial Intelligence: An Activity-Based Approach(2024) Maksimov, N.; Klimov, V.; Максимов, Николай Вениаминович; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеPreface(2022) Kryzhanovsky, B.; Dunin-Barkowski, W.; Redko, V.; Klimov, V.; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеPreface(2022) Kelley, D. J.; Klimov, V.; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеIntelligent Processing of Natural Language Search Queries Using Semantic Mapping for User Intention Extracting(2019) Chernyshov, A.; Balandina, A.; Klimov, V.; Климов, Валентин Вячеславович© 2019, Springer Nature Switzerland AG. Nowadays the leading world scientists and engineers center their attention to data mining and machine learning algorithms optimization and acceleration rather than inventing new ones. The natural language processing methods and tools are widely in use in production in the area of machine translation. The researches in the area of search engines and semantic search are mostly concentrated on data storage and further analysis. The majority of search engines use the huge amounts of previously accumulated user requests for predicting the search output without taking in attention this user intention by qualitative processing the request. In this paper we explore the idea of usage the semantic cognitive spaces for extracting the exact user intentions by analysis the natural language input requests. The final goal of our research is to develop a valid search query model for further usage in semantic search engines.
- ПубликацияТолько метаданныеMethodological and Informational Support for Designing the "philologist Automated Workplace" as an Element of Academic Ecosystem for Launching and Implementing Cross-Disciplinary Research Projects at the Interface of Social and Technical Sciences(2022) Baryshev, G. K.; Klimov, V. V.; Bozhko, Y. V.; Panasenko, R. A.; Biryukov, A. P.; Konashenkova, N. A.; Барышев, Геннадий Константинович; Климов, Валентин Вячеславович; Божко, Юрий Валентинович; Бирюков, Александр Павлович
- ПубликацияТолько метаданныеSubjective Perception Space of Musical Passages(2020) Krysko, M. D.; Vartanov, A. V.; Vartanova, I. I.; Klimov, V. V.; Климов, Валентин Вячеславович© 2020, Springer Nature Switzerland AG.An experimental construction of the subjective (emotional) space of perception of musical sound fragments used in the GarageBand app for iOS to help the composer has been carried out. A representative set of 20 sound fragments was selected on the basis of an experiment on the classification of all samples from this database, which were further evaluated in 3 types of experiments: on the basis of multidimensional scaling of differences between them, on the basis of direct scaling of emotional qualities (Semantic Differential Method for 25 adjective pairs), based on direct scaling on three SAM scales (in the PXLab variant). As a result, the individual features (points of view) of these sound samples were investigated and a correlation comparison of the obtained results was carried out. As a result, the interrelation of all used scales is shown and a way of their integration into a four- dimensional spherical model of emotions is presented.
- ПубликацияТолько метаданныеOverview of Natural Language Processing Approaches in Modern Search Engines(2020) Chernyshov, A.; Balandina, A.; Klimov, V.; Чернышов, Артем Андреевич; Баландина, Анита Ивановна; Климов, Валентин Вячеславович© 2020, Springer Nature Switzerland AG.This article provides an overview of modern natural language processing and understanding methods. All the monitored technologies are covered in the context of search engines. The authors do not consider any particular implementations of the search engines; however take in consideration some scientific research to show natural language processing techniques application prospects in the informational search industry.
- ПубликацияТолько метаданныеTransforming the Field of Mobility Through Intellectualized V2X Interaction(2024) Dushkin, R.; Klimov, V.; Tkachenko, A.; Душкин, Роман Викторович; Климов, Валентин Вячеславович
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