Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Oleg G. Grigoriev"'
Autor:
Dmitry A. Devyatkin, Oleg G. Grigoriev
Publikováno v:
IEEE Access, Vol 10, Pp 77962-77979 (2022)
Random forests of axis-parallel decision trees still show competitive accuracy in various tasks; however, they have drawbacks that limit their applicability. Namely, they perform poorly for multidimensional sparse data. A straightforward solution is
Externí odkaz:
https://doaj.org/article/bee9c5abb2b84e93bde08535cb5cd952
Publikováno v:
Scientific and Technical Information Processing. 47:383-388
Psychometric analysis of information from the Internet is one of the fastest growing trends in modern research. Using social networks, one can identify psychological characteristics and mental disorders. In this paper, we solve the problem of identif
Publikováno v:
IFAC-PapersOnLine. 52:70-74
Health management, or in other words health optimization, is coming to the forefront in most of the world’s countries. Almost every person has a certain predisposition to the development of chronic diseases, which is determined by corresponding ris
Autor:
Daniil Larionov, Margarita Suvorova, Yulia V. Kuznetsova, Maksim Stankevich, Oleg G. Grigoriev, Ivan V. Smirnov, Mikhail Savelov, Elena Nikitina
Publikováno v:
Artificial Intelligence ISBN: 9783030868543
RCAI
RCAI
This paper introduces TITANIS, a new social media text analysis tool specifically designed to assess the reaction of social media users to global events from a psycho-emotional point of view. The tool offers an expanded set of text parameters and nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068c3a862431553260c449ad7c371308
https://doi.org/10.1007/978-3-030-86855-0_16
https://doi.org/10.1007/978-3-030-86855-0_16
Autor:
Michael A. Shiray, Oleg G. Grigoriev
Publikováno v:
Artificial Intelligence ISBN: 9783030595340
RCAI
RCAI
The paper describes the problems of automatic selection of experts for reviewing scientific texts. Existing methods are analyzed, and a new selection method is proposed, based on obtaining a ranked list of relevant experts by processing a large amoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3783a4c56a6bd3c72087040f29b14820
https://doi.org/10.1007/978-3-030-59535-7_22
https://doi.org/10.1007/978-3-030-59535-7_22
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030519124
DAMDID/RCDL (Selected Papers)
DAMDID/RCDL (Selected Papers)
The article describes the problem of finding and selecting experts for reviewing grant applications, proposals and scientific papers. The main shortcomings of the methods that are currently used to solve this problem were analyzed. These shortcomings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bed06830e4445143c9c502ce092afff
https://doi.org/10.1007/978-3-030-51913-1_11
https://doi.org/10.1007/978-3-030-51913-1_11
Autor:
Alexey I. Molodchenkov, Ivan V. Smirnov, Oleg G. Grigoriev, Gennadiy S. Osipov, Boris A. Kobrinskii
Publikováno v:
BICA
This paper describes the creation of a knowledge base for an intelligent healthcare management system dealing with cases of stroke, myocardial infarction and depression. The main purpose of the knowledge base is to discover and evaluate risk factors
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030307622
The paper describes the technology of forming a list of personalized preventive recommendations. The technology consists of the following main components: human health state, data acquisition module, database, knowledge base, and solver with output e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a118159daaf40ccf4fe7ef84fa69811
https://doi.org/10.1007/978-3-030-30763-9_25
https://doi.org/10.1007/978-3-030-30763-9_25
Publikováno v:
Vestnik RFFI. :135-146
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783319784366
In this paper we investigated the problem of scientific research funding from the perspective of data-mining. The object was to conduct versatile retrospective analysis of decisions made by the Russian Foundation for Basic Research regarding scientif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ace7cd947de11f9333ccdeec3dcbbd03
https://doi.org/10.1007/978-3-319-78437-3_12
https://doi.org/10.1007/978-3-319-78437-3_12