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On importance of the multi-level chemical objects description in various problem domain models for information systems integration in inorganic materials science

Journal of physics. Conference series, 2019-11, Vol.1385 (1), p.12032

2019

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New Two-Level Ensemble Method and Its Application to Chemical Compounds Properties Prediction

Lobachevskii journal of mathematics, 2023, Vol.44 (1), p.188-197

2023

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Prediction of the Melting Points of Double Halides

Russian journal of inorganic chemistry, 2023-05, Vol.68 (5), p.555-560

2023

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Prediction Based on the Solution of the Set of Classification Problems of Supervised Learning and Degrees of Membership

Pattern recognition and image analysis, 2020, Vol.30 (1), p.63-69

2020

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Two-Level Regression Method Using Ensembles of Trees with Optimal Divergence

Doklady. Mathematics, 2021-07, Vol.104 (1), p.212-215

2021

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Predictions of Chalcospinels with Composition ABCX4 (X = S or Se)

Inorganic materials : applied research, 2021, Vol.12 (2), p.328-336

2021

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PENETRATION OF A SOUND FIELD THROUGH A MULTILAYERED SPHERICAL SHELL

Informatika (Minsk, Belarus), 2016-10 (3), p.47-57

2016

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SOUND FIELD SHIELDING BY FLAT ELASTIC LAYER AND THIN UNCLOSED SPHERICAL SHELL

Informatika (Minsk, Belarus), 2016-10 (2), p.36-48

2016

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Computer-Aided Design of Compounds with Crystal Structure of Melilites

Inorganic materials : applied research, 2020, Vol.11 (4), p.787-794

2020

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Prediction of Space Groups for Perovskite-Like BIIIB'VO6 Compounds

Inorganic materials : applied research, 2022, Vol.13 (2), p.277-293

2022

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A Two-Stage Method for Constructing Linear Regressions Using Optimal Convex Combinations

Doklady. Mathematics, 2018-03, Vol.97 (2), p.113-114

2018

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Computer information resources of inorganic chemistry and materials science

Russian chemical reviews, 2010-02, Vol.79 (2), p.145-166

2010

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Prediction of formation of AB3X3 (X = S, Se, Te)

Inorganic materials, 2009-10, Vol.45 (10), p.1077-1080

Kiselyova, N. N.

2009

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Prediction of intermetallic compounds

Russian chemical reviews, 2009-06, Vol.78 (6), p.569-587

2009

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Prediction of formation of inorganic compounds with composition ABC2 (C = S, Se, or Te) with the use of precedent-based pattern recognition methods

Pattern recognition and image analysis, 2014, Vol.24 (2), p.283-291

2014

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Prediction of the crystal structure types of equiatomic ternary silicides and germanides

Russian metallurgy Metally, 2013-05, Vol.2013 (5), p.381-388

2013

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A system for computer-assisted design of inorganic compounds based on computer training

Pattern recognition and image analysis, 2011-03, Vol.21 (1), p.88-94

2011

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Comparative Characteristics of the Morphology of Rabbit Lymph Nodes after Implantation of Porous Titanium with Composite Nanocoating and Hydroxyapatite Particles Embedded into Pores

Bulletin of experimental biology and medicine, 2011-08, Vol.151 (4), p.488-491

2011

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Predictions of Chalcospinels with Composition ABCX.sub.4 (X = S or Se)

Inorganic materials : applied research, 2021-03, Vol.12 (2), p.328

2021

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Design of inorganic compounds with the use of precedent-based pattern recognition methods

Pattern recognition and image analysis, 2011-03, Vol.21 (1), p.95-103

2011

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Integrated system of databases on the properties of inorganic substances and materials

High temperature, 2016-03, Vol.54 (2), p.215-222

2016

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Prediction of the types of crystal structure for ABX 2 (X = Fe, Co, Ni) intermetallics

Russian metallurgy Metally, 2009-12, Vol.2009 (6), p.538-545

2009

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Database on the bandgap of inorganic substances and materials

Inorganic materials : applied research, 2016, Vol.7 (1), p.34-39

2016

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Creating Inorganic Chemistry Data Infrastructure for Materials Science Specialists

Data Analytics and Management in Data Intensive Domains, p.222-236

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Prediction of New $$\rm{A^+B^{3+}X_2^{+5}O_7}$$ A + B 3 + X 2 + 5 O 7 Compounds

Russian journal of inorganic chemistry, 2018-10, Vol.63 (10), p.1333-1339

2018

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On importance of the multi-level chemical objects description in various problem domain models for information systems integration in inorganic materials science

New Two-Level Ensemble Method and Its Application to Chemical Compounds Properties Prediction

Prediction of the Melting Points of Double Halides

Prediction Based on the Solution of the Set of Classification Problems of Supervised Learning and Degrees of Membership

Two-Level Regression Method Using Ensembles of Trees with Optimal Divergence

Predictions of Chalcospinels with Composition ABCX4 (X = S or Se)

PENETRATION OF A SOUND FIELD THROUGH A MULTILAYERED SPHERICAL SHELL

SOUND FIELD SHIELDING BY FLAT ELASTIC LAYER AND THIN UNCLOSED SPHERICAL SHELL

Computer-Aided Design of Compounds with Crystal Structure of Melilites

Prediction of Space Groups for Perovskite-Like BIIIB'VO6 Compounds

A Two-Stage Method for Constructing Linear Regressions Using Optimal Convex Combinations

Computer information resources of inorganic chemistry and materials science

Prediction of formation of AB3X3 (X = S, Se, Te)

Prediction of intermetallic compounds

Prediction of formation of inorganic compounds with composition ABC2 (C = S, Se, or Te) with the use of precedent-based pattern recognition methods

Prediction of the crystal structure types of equiatomic ternary silicides and germanides

A system for computer-assisted design of inorganic compounds based on computer training

Comparative Characteristics of the Morphology of Rabbit Lymph Nodes after Implantation of Porous Titanium with Composite Nanocoating and Hydroxyapatite Particles Embedded into Pores

Predictions of Chalcospinels with Composition ABCX.sub.4 (X = S or Se)

Design of inorganic compounds with the use of precedent-based pattern recognition methods

Integrated system of databases on the properties of inorganic substances and materials

Prediction of the types of crystal structure for ABX 2 (X = Fe, Co, Ni) intermetallics

Database on the bandgap of inorganic substances and materials

Creating Inorganic Chemistry Data Infrastructure for Materials Science Specialists

Prediction of New $$\rm{A^+B^{3+}X_2^{+5}O_7}$$ A + B 3 + X 2 + 5 O 7 Compounds

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