Vladimir Boginski

发表

Exact identification of critical nodes in sparse networks via new compact formulations

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2014, Optim. Lett..

Collective Behavior of Price Changes of ERC-20 Tokens

Vladimir Boginski, Henri T. Heinonen, Alexander Semenov, 2020, CSoNet.

Combinatorial Optimization Techniques for Network-Based Data Mining

Vladimir Boginski, Oleg Shirokikh, Vladimir Stozhkov, 2013 .

Polynomial-time identification of robust network flows under uncertain arc failures

Clayton W. Commander, Vladimir Boginski, Timofey Turko, 2009, Optim. Lett..

A network-based data mining approach to portfolio selection via weighted clique relaxations

Sergiy Butenko, Jaime Gil-Lafuente, Vladimir Boginski, 2014, Ann. Oper. Res..

Ranking Academic Advisors: Analyzing Scientific Advising Impact Using MathGenealogy Social Network

Eduardo L. Pasiliao, Alexander Semenov, Alexander G. Nikolaev, 2018, CSoNet.

On the maximum quasi-clique problem

Sergiy Butenko, Alexander Veremyev, Vladimir Boginski, 2013, Discret. Appl. Math..

Identifying Critical Nodes in Protein-Protein Interaction Networks

Clayton W. Commander, Vladimir Boginski, V. Boginski, 2009 .

Detecting robust cliques in graphs subject to uncertain edge failures

Sergiy Butenko, Vladimir Boginski, Oleksandra Yezerska, 2018, Ann. Oper. Res..

Analysis of Viral Advertisement Re-Posting Activity in Social Media

Eduardo L. Pasiliao, Alexander Semenov, Alexander G. Nikolaev, 2016, CSoNet.

Mathematical Programming Techniques for Sensor Networks

Panos M. Pardalos, Stan Uryasev, Alexey Sorokin, 2009, Algorithms.

Double-Threshold Models for Network Influence Propagation

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2020, CSoNet.

Collaboration Networks in Sports

Panos M. Pardalos, Oleg A. Prokopyev, Sergiy Butenko, 2004 .

Critical nodes in interdependent networks with deterministic and probabilistic cascading failures

My T. Thai, Eduardo L. Pasiliao, Alexander Veremyev, 2018, J. Glob. Optim..

Optimal design and augmentation of strongly attack-tolerant two-hop clusters in directed networks

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2014, J. Comb. Optim..

Potential energy principles in networked systems and their connections to optimization problems on graphs

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2015, Optim. Lett..

Data Mining in Biomedicine

Panos M. Pardalos, Vladimir Boginski, Alkis Vazacopoulos, 2010 .

Robustness and Strong Attack Tolerance of Low-Diameter Networks

Alexander Veremyev, Vladimir Boginski, 2012 .

Computational risk management techniques for fixed charge network flow problems with uncertain arc failures

Panos M. Pardalos, Alexey Sorokin, Vladimir Boginski, 2013, J. Comb. Optim..

Analytical characterizations of some classes of optimal strongly attack-tolerant networks and their Laplacian spectra

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2015, J. Glob. Optim..

Stochastic Decision Problems with Multiple Risk-Averse Agents

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2016 .

A note on transmission switching in electric grids with uncertain line failures

Alexey Sorokin, Vladimir Boginski, Oleg Shirokikh, 2013 .

The Minimum Spanning k-Core Problem with Bounded CVaR Under Probabilistic Edge Failures

Balabhaskar Balasundaram, Juan Ma, Vladimir Boginski, 2016, INFORMS J. Comput..

A Cutting Plane Method for Least Cost Influence Maximization

Eduardo L. Pasiliao, Vladimir Boginski, Cheng-Lung Chen, 2020, CSoNet.

Optimization and information retrieval techniques for complex networks

Vladimir Boginski, Panagote M. Pardalos, V. Boginski, 2005 .

Computational study of the US stock market evolution: a rank correlation-based network model

Sergiy Butenko, Vladimir Boginski, Oleg Shirokikh, 2013, Computational Management Science.

Critical Nodes in River Networks

Alexander Veremyev, Vladimir Boginski, Arvind Singh, 2019, Scientific Reports.

Exploring Social Media Network Landscape of Post-Soviet Space

Alexander V. Mantzaris, Eduardo L. Pasiliao, Alexander Nikolaev, 2019, IEEE Access.

Minimum edge blocker dominating set problem

Eduardo L. Pasiliao, Vladimir Boginski, Foad Mahdavi Pajouh, 2015, Eur. J. Oper. Res..

Identifying large robust network clusters via new compact formulations of maximum k-club problems

Alexander Veremyev, Vladimir Boginski, V. Boginski, 2012, Eur. J. Oper. Res..

Sensors: Theory, Algorithms, and Applications - Volume 61

Panos M. Pardalos, Clayton W. Commander, Yinyu Ye, 2014 .

Optimization Techniques for Clustering,Connectivity, and Flow Problems in Complex Networks

Oleg A. Prokopyev, Sergiy Butenko, Vladimir Boginski, 2012 .

On maximum degree‐based γ ‐quasi‐clique problem: Complexity and exact approaches

Oleg A. Prokopyev, Alexander Veremyev, Vladimir Boginski, 2018, Networks.

A cutting plane method for risk-constrained traveling salesman problem with random arc costs

Tao Zhang, Eduardo L. Pasiliao, Vladimir Boginski, 2018, J. Glob. Optim..

Abstract A25: Using clique relaxations to identify highly connected clusters in molecular networks in cancer.

Alexander Veremyev, Vladimir Boginski, Grigory Pastukhov, 2013 .

Analysis and Design of Robust Network Clusters with Bounded Diameter

Alexander Veremyev, Vladimir Boginski, Foad Mahdavi Pajouh, 2014, Examining Robustness and Vulnerability of Networked Systems.

Neural Networks with Multidimensional Cross-Entropy Loss Functions

Eduardo L. Pasiliao, Vladimir Boginski, Alexander Semenov, 2019, CSoNet.

On connected dominating sets of restricted diameter

Sergiy Butenko, Vladimir Boginski, Austin Buchanan, 2014, Eur. J. Oper. Res..

RECOVERY ACT - Robust Optimization for Connectivity and Flows in Dynamic Complex Networks

Stan Uryasev, Sergiy Butenko, Balabhaskar Balasundaram, 2013 .

Network models of massive datasets

Panos M. Pardalos, Sergiy Butenko, Vladimir Boginski, 2004, Comput. Sci. Inf. Syst..

Mining market data: A network approach

Panos M. Pardalos, Sergiy Butenko, Vladimir Boginski, 2006, Comput. Oper. Res..

Graph-based exploration and clustering analysis of semantic spaces

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2019, Applied Network Science.

Networks of materials: Construction and structural analysis

Marco Buongiorno Nardelli, Sergiy Butenko, Alexander Veremyev, 2020, AIChE Journal.

Statistical analysis of financial networks

Panos M. Pardalos, Sergiy Butenko, Vladimir Boginski, 2005, Comput. Stat. Data Anal..

Minimum vertex blocker clique problem

Eduardo L. Pasiliao, Vladimir Boginski, Foad Mahdavi Pajouh, 2014, Networks.

Optimization of discrete broadcast under uncertainty using conditional value-at-risk

Alexander Sprintson, Eduardo L. Pasiliao, Alla R. Kammerdiner, 2014, Optim. Lett..

Robust multi-sensor scheduling for multi-site surveillance

Panos M. Pardalos, David E. Jeffcoat, Stan Uryasev, 2011, J. Comb. Optim..

A Retrospective Review of Social Networks

Panos M. Pardalos, Petros Xanthopoulos, Ashwin Arulselvan, 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

On the maximum small-world subgraph problem

Oleg A. Prokopyev, Alexander Veremyev, Vladimir Boginski, 2020, Eur. J. Oper. Res..

Reinforcement Learning in Information Cascades Based on Dynamic User Behavior

Eduardo L. Pasiliao, Vladimir Boginski, Qipeng P. Zheng, 2019, CSoNet.

Failure Mitigation and Restoration in Interdependent Networks via Mixed-Integer Optimization

Eduardo L. Pasiliao, Alexander Veremyev, Vladimir Boginski, 2021, IEEE Transactions on Network Science and Engineering.

Network-based Models and Algorithms in Data Mining and Knowledge Discovery

Panos M. Pardalos, Vladimir Boginski, Alkis Vazacopoulos, 2004 .

Topology design for on-demand dual-path routing in wireless networks

Marco Carvalho, Balabhaskar Balasundaram, Alexey Sorokin, 2013, Optim. Lett..

Minimum vertex cover problem for coupled interdependent networks with cascading failures

Eduardo L. Pasiliao, Alexey Sorokin, Alexander Veremyev, 2014, Eur. J. Oper. Res..

A DC programming approach for solving multicast network design problems via the Nesterov smoothing technique

Eduardo L. Pasiliao, Nguyen Mau Nam, Alexander Semenov, 2018, J. Glob. Optim..

New analytical lower bounds on the clique number of a graph

Eduardo L. Pasiliao, Vladimir Boginski, Vladimir Stozhkov, 2017, Optim. Methods Softw..

Special issue on optimization in military applications

Eduardo L. Pasiliao, Siqian Shen, Vladimir Boginski, 2015, Optim. Lett..

A simple greedy heuristic for linear assignment interdiction

Eduardo L. Pasiliao, Oleg A. Prokopyev, Vladimir Boginski, 2017, Ann. Oper. Res..

Data Mining in EEG: Application to Epileptic Brain Disorders

Leonidas D. Iasemidis, Panos M. Pardalos, Oleg A. Prokopyev, 2007 .

Optimization Techniques in Medicine

Panos M. Pardalos, Oleg A. Prokopyev, Vladimir Boginski, 2005 .

Information Network Cascading and Network Re-construction with Bounded Rational User Behaviors

Eduardo L. Pasiliao, Vladimir Boginski, Qipeng P. Zheng, 2019, CSoNet.

Predicting the Nexus between Post-Secondary Education Affordability and Student Success: An Application of Network-Based Approaches

Panos M. Pardalos, Ashwin Arulselvan, Vladimir Boginski, 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

Sensors: Theory, Algorithms, and Applications

Panos M. Pardalos, Clayton W. Commander, Yinyu Ye, 2011 .

Finding maximum subgraphs with relatively large vertex connectivity

Eduardo L. Pasiliao, Oleg A. Prokopyev, Alexander Veremyev, 2014, Eur. J. Oper. Res..

Springer Proceedings in Mathematics & Statistics

Panos M. Pardalos, Boris Goldengorin, Vladimir Boginski, 2013 .

On integer programming models for the maximum 2-club problem and its robust generalizations in sparse graphs

Eduardo L. Pasiliao, Oleg A. Prokopyev, Alexander Veremyev, 2021, Eur. J. Oper. Res..

Network-Based Representation of Stock Market Dynamics: An Application to American and Swedish Stock Markets

Panos M. Pardalos, Boris Goldengorin, Vladimir Boginski, 2013 .

Comprar Data Mining in Biomedicine | Vazacopoulos, Alkis | 9780387693187 | Springer

Panos M. Pardalos, Vladimir Boginski, Alkis Vazacopoulos, 2007 .

Analysis of food industry market using network approaches

Panos M. Pardalos, Ashwin Arulselvan, George Baourakis, 2008 .

ROBUST CONNECTIVITY ISSUES IN DYNAMIC SENSOR NETWORKS FOR AREA SURVEILLANCE UNDER

David E. Jeffcoat, Stan Uryasev, Alexander Veremyev, 2011 .

NETWORK-BASED TECHNIQUES IN THE ANALYSIS OF THE STOCK MARKET

Panos M. Pardalos, Sergiy Butenko, Vladimir Boginski, 2004 .

Network-Based Data Mining: Operations Research Techniques and Applications

Vladimir Boginski, V. Boginski, 2011 .

Matrix-based Methods for College Football Rankings

Panos M. Pardalos, Sergiy Butenko, Vladimir Boginski, 2004 .