Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics
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9783319962467, 9783319962474

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Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_18 ◽

2018 ◽

pp. 257-267

Author(s):

Mikhail Belyaev ◽

Yulia Dodonova ◽

Daria Belyaeva ◽

Egor Krivov ◽

Boris Gutman ◽

...

Keyword(s):

Brain Networks ◽

Positive Semidefinite ◽

Positive Semidefinite Matrices ◽

Structural Brain

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Analysis of Co-authorship Networks and Scientific Citation Based on Google Scholar

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_25 ◽

2018 ◽

pp. 329-339

Author(s):

Nataliya Matveeva ◽

Oleg Poldin

Keyword(s):

Google Scholar ◽

Scientific Citation

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Invariance Properties of Statistical Procedures for Network Structures Identification

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_21 ◽

2018 ◽

pp. 289-297

Author(s):

Petr A. Koldanov

Keyword(s):

Network Structures ◽

Invariance Properties ◽

Statistical Procedures

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FPT Algorithms for the Shortest Lattice Vector and Integer Linear Programming Problems

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_2 ◽

2018 ◽

pp. 19-35

Author(s):

D. V. Gribanov

Keyword(s):

Linear Programming ◽

Integer Linear Programming ◽

Lattice Vector ◽

Fpt Algorithms ◽

Linear Programming Problems

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Topological Modules of Human Brain Networks Are Anatomically Embedded: Evidence from Modularity Analysis at Multiple Scales

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_22 ◽

2018 ◽

pp. 299-308

Author(s):

Anvar Kurmukov ◽

Yulia Dodonova ◽

Margarita Burova ◽

Ayagoz Mussabayeva ◽

Dmitry Petrov ◽

...

Keyword(s):

Human Brain ◽

Multiple Scales ◽

Brain Networks ◽

Topological Modules ◽

Modularity Analysis

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Selective Bi-coordinate Variations for Network Equilibrium Problems with Mixed Demand

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_11 ◽

2018 ◽

pp. 161-170

Author(s):

Igor Konnov ◽

Olga Pinyagina

Keyword(s):

Equilibrium Problems ◽

Network Equilibrium ◽

Network Equilibrium Problems

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A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_14 ◽

2018 ◽

pp. 197-203

Author(s):

Alexander Ponomarenko ◽

Irina Utkina ◽

Mikhail Batsyn

Keyword(s):

Network Structure ◽

Nearest Neighbor ◽

Nearest Neighbor Search ◽

Neighbor Search ◽

Optimal Network

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Methods of Criteria Importance Theory and Their Software Implementation

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_13 ◽

2018 ◽

pp. 189-196 ◽

Cited By ~ 1

Author(s):

Andrey Pavlovich Nelyubin ◽

Vladislav Vladimirovich Podinovski ◽

Mikhail Andreevich Potapov

Keyword(s):

Software Implementation ◽

Criteria Importance Theory ◽

Criteria Importance

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The Video-Based Age and Gender Recognition with Convolution Neural Networks

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_3 ◽

2018 ◽

pp. 37-46 ◽

Cited By ~ 1

Author(s):

Angelina S. Kharchevnikova ◽

Andrey V. Savchenko

Keyword(s):

Neural Networks ◽

Gender Recognition ◽

Age And Gender ◽

Convolution Neural Networks ◽

And Gender

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Rejection Graph for Multiple Testing of Elliptical Model for Market Network

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-96247-4_16 ◽

2018 ◽

pp. 221-234

Author(s):

D. P. Semenov ◽

Petr A. Koldanov

Keyword(s):

Multiple Testing ◽

Elliptical Model

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Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks

Analysis of Co-authorship Networks and Scientific Citation Based on Google Scholar

Invariance Properties of Statistical Procedures for Network Structures Identification

FPT Algorithms for the Shortest Lattice Vector and Integer Linear Programming Problems

Topological Modules of Human Brain Networks Are Anatomically Embedded: Evidence from Modularity Analysis at Multiple Scales

Selective Bi-coordinate Variations for Network Equilibrium Problems with Mixed Demand

A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search

Methods of Criteria Importance Theory and Their Software Implementation

The Video-Based Age and Gender Recognition with Convolution Neural Networks

Rejection Graph for Multiple Testing of Elliptical Model for Market Network

Computational Aspects and Applications in Large-Scale Networks - Springer Proceedings in Mathematics & Statistics
Latest Publications