E-LIB Suche - Ergebnisse für: Boginski, Vladimir

1

A polyhedral approach to least cost influence maximization ..:

Chen, Cheng-Lung ; Pasiliao, Eduardo L. ; Boginski, Vladimir
Journal of Combinatorial Optimization. 45 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

2

On integer programming models for the maximum 2-club proble..:

Veremyev, Alexander ; Boginski, Vladimir ; Pasiliao, Eduardo L..
European Journal of Operational Research. 297 (2022) 1 - p. 86-101 , 2022

Link: https://doi.org/10.1016/..

3

Networks of causal relationships in the U.S. stock market:

Shirokikh, Oleg ; Pastukhov, Grigory ; Semenov, Alexander...
Dependence Modeling. 10 (2022) 1 - p. 177-190 , 2022

Link: https://doi.org/10.1515/..

4

Influence maximization in social media networks concerning ..:

Chen, Mengnan ; Zheng, Qipeng P. ; Boginski, Vladimir.
Computational Social Networks. 8 (2021) 1 - p. , 2021

Link: https://doi.org/10.1186/..

5

Influence network design via multi-level optimization consi..:

Yun, Guanxiang ; Zheng, Qipeng P. ; Boginski, Vladimir.
Computational Social Networks. 8 (2021) 1 - p. , 2021

Link: https://doi.org/10.1186/..

6

Networks of materials: Construction and structural analysis:

Veremyev, Alexander ; Liyanage, Laalitha ; Fornari, Marco...
AIChE Journal. 67 (2020) 3 - p. , 2020

Link: https://doi.org/10.1002/..

7

Collective Behavior of Price Changes of ERC-20 Tokens:

, In: Computational Data and Social Networks; Lecture Notes in Computer Science,

Heinonen, Henri T. ; Semenov, Alexander ; Boginski, Vladimir - p. 487-498 , 2020

Link: https://doi.org/10.1007/..

8

Double-Threshold Models for Network Influence Propagation:

, In: Computational Data and Social Networks; Lecture Notes in Computer Science,

Semenov, Alexander ; Veremyev, Alexander ; Pasiliao, Eduardo L.. - p. 512-523 , 2020

Link: https://doi.org/10.1007/..

9

Network-based indices of individual and collective advising..:

Semenov, Alexander ; Veremyev, Alexander ; Nikolaev, Alexander..
Computational Social Networks. 7 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

10

A Cutting Plane Method for Least Cost Influence Maximizatio:

, In: Computational Data and Social Networks; Lecture Notes in Computer Science,

Chen, Cheng-Lung ; Pasiliao, Eduardo L. ; Boginski, Vladimir - p. 499-511 , 2020

Link: https://doi.org/10.1007/..

11

Continuous cubic formulations for cluster detection problem..:

Stozhkov, Vladimir ; Buchanan, Austin ; Butenko, Sergiy.
Mathematical Programming. 196 (2020) 1-2 - p. 279-307 , 2020

Link: https://doi.org/10.1007/..

12

On the maximum small-world subgraph problem:

Kim, Jongeun ; Veremyev, Alexander ; Boginski, Vladimir.
European Journal of Operational Research. 280 (2020) 3 - p. 818-831 , 2020

Link: https://doi.org/10.1016/..

13

Graph-based exploration and clustering analysis of semantic..:

Veremyev, Alexander ; Semenov, Alexander ; Pasiliao, Eduardo L..
Applied Network Science. 4 (2019) 1 - p. , 2019

Link: https://doi.org/10.1007/..

14

Neural Networks with Multidimensional Cross-Entropy Loss Fu..:

, In: Computational Data and Social Networks; Lecture Notes in Computer Science,

Semenov, Alexander ; Boginski, Vladimir ; Pasiliao, Eduardo L. - p. 57-62 , 2019

Link: https://doi.org/10.1007/..

15

Reinforcement Learning in Information Cascades Based on Dyn..:

, In: Computational Data and Social Networks; Lecture Notes in Computer Science,

Chen, Mengnan ; Zheng, Qipeng P. ; Boginski, Vladimir. - p. 148-154 , 2019

Link: https://doi.org/10.1007/..