Zobrazeno 1 - 10 of 23 pro vyhledávání: '"M. I. Kumskov"'
2
A two-phase solution procedure using mixtures of algorithms in the structure–property problem
Autor: M. I. Kumskov, E. I. Prokhorov, M. V. Sukhanova, A. V. Perevoznikov, A. V. Bekker, Alexandra L. Zakharenko, Igor V. Svitanko
Publikováno v: Pattern Recognition and Image Analysis. 26:427-433
Prediction of the properties of chemical compounds by mathematical methods of pattern recognition is considered. The investigation was carried out by the example of the activity of cell division enzyme inhibitors. An approach based on mixtures of alg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26f1cff616872470bc708ea8a42ba01a
https://doi.org/10.1134/s1054661816020152
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3
A Riemanian Approach to Blob Detection in Manifold-Valued Images
Autor: M. I. Kumskov, Aleksei Shestov
Publikováno v: Lecture Notes in Computer Science ISBN: 9783319684444
GSI
This paper is devoted to the problem of blob detection in manifold-valued images. Our solution is based on new definitions of blob response functions. We define the blob response functions by means of curvatures of an image graph, considered as a sub
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8663a07c35907068ba155a3d2bba4f80
https://doi.org/10.1007/978-3-319-68445-1_84
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4
Fuzzy classification and fast rejection rules in the structure-property problem
Autor: M. I. Kumskov, E. A. Permyakov, E. I. Prokhorov, L. A. Ponomareva
Publikováno v: Pattern Recognition and Image Analysis. 23:130-138
A new approach to analysis of the molecule-descriptor matrix in the structure-property problem, based on the fuzzy cluster structure of the training sample, is developed. Methods for constructing fast prediction rejection rules and for the search of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2f0a81401032e4a39686c19ca6a4f499
https://doi.org/10.1134/s1054661813010100
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5
The multilevel adaptive description of molecular graphs in 'structure-property problem'
Autor: G.N. Apryshko, M. I. Kumskov, R. B. Pugacheva, A. V. Bekker, A. A. Suleimanov
Publikováno v: Pattern Recognition and Image Analysis. 21:454-457
A method for solving the "structure-property" problem is proposed based on the adaptive choice of molecule description and automatic selection of a feature space according to the characteristics of the learning sample. A problem of combinatory explos
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6d62c51287026eca1cfdbbb1a9c3f75
https://doi.org/10.1134/s1054661811020131
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6
A way to increase the prediction quality for the large set of molecular graphs by using the k-NN classifier
Autor: E. A. Permyakov, Alexey Shestov, A. V. Perevoznikov, M. I. Kumskov
Publikováno v: Pattern Recognition and Image Analysis. 21:545-548
A way to solve the QSAR problem (Quantitative Structure-Activity Relationship) by selecting the molecular graph descriptors using the k-NN classifier is presented. The predictive models by using the search and without it are generated and compared, a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eaad3a59cb8963f7a86e63808734b58c
https://doi.org/10.1134/s1054661811020866
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7
Identification of stable description elements using an active sensor
Autor: A. Milovidov, S. Yu . Sergunin, M. I. Kumskov, D. I. Mednikov
Publikováno v: Pattern Recognition and Image Analysis. 19:129-136
A two-phase method for the pattern-driven recognition of objects in images is presented, implemented, and tested numerically. The method is based on the use of an active sensor. Possibilities for development are envisaged. This approach was shown to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d688d65f61eed158a623341f2912e8ae
https://doi.org/10.1134/s1054661809010234
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8
Computational model for recognition of scene objects with an active sensor
Autor: S. Yu . Sergunin, M. I. Kumskov
Publikováno v: Pattern Recognition and Image Analysis. 17:226-232
In the paper, a computational model for recognition of objects in a scene image is presented. The model is based on the use of an active sensor. The structure of the object model (OM) is described. This structure is a component that stores different
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6f736c5287ba058c97bcaf4817c24da4
https://doi.org/10.1134/s1054661807020095
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10
Combining 3D-QSAR and molecular docking for the virtual screening of PARP inhibitors
Autor: Aleksandra V. Bekker, M. I. Kumskov, Igor V. Svitanko, Eugeny I. Prokhorov, Alexander V. Perevoznikov
Publikováno v: Mendeleev Communications. 25:214-215
3D-QSAR and molecular docking were applied to predict the inhibitory activity of 196 compounds towards poly(ADP-riboso) polymerase-1 (PARP). A proportion of experimentally active ligands was higher among compounds with good rankings from both methods
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9367820ddb3cfe00c5b9688fdc33b578
https://doi.org/10.1016/j.mencom.2015.05.019
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