Mario Ventresca

According to our database, Mario Ventresca authored at least 62 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimal design of vaccination policies: A case study for Newfoundland and Labrador.

Faraz Khoshbakhtian, Hamidreza Validi, Mario Ventresca, Dionne M. Aleman

Oper. Res. Lett., 2024

2022

Investigating cognitive ability using action-based models of structural brain networks.

Viplove Arora, Enrico Amico, Joaquín Goñi, Mario Ventresca

J. Complex Networks, June, 2022

Social Influence Network Simulation Design Affects Behavior of Aggregated Entropy.

Michael J. Garee, Hong Wan, Mario Ventresca

IEEE Trans. Comput. Soc. Syst., 2022

Examining Supervised Machine Learning Methods for Integer Link Weight Prediction Using Node Metadata.

Larissa Mori, Kaleigh O'Hara, Toyya A. Pujol, Mario Ventresca

Entropy, 2022

Identifying the source of an epidemic using particle swarm optimization.

John MaGee, Viplove Arora, Mario Ventresca

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

A Graph-Based Ant Algorithm for the Winner Determination Problem in Combinatorial Auctions.

Abhishek Ray, Mario Ventresca, Karthik N. Kannan

Inf. Syst. Res., 2021

Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints.

Kausar Abbas, Mintao Liu, Manasij Venkatesh, Enrico Amico, Alan David Kaplan, Mario Ventresca, Luiz Pessoa, Jaroslaw Harezlak, Joaquín Goñi

Brain Connect., 2021

Supervised Link Weight Prediction Using Node Metadata.

Larissa Mori, Mario Ventresca, Toyya A. Pujol

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Modeling Communication Processes in the Human Connectome through Cooperative Learning.

Uttara Tipnis, Enrico Amico, Mario Ventresca, Joaquín Goñi

IEEE Trans. Netw. Sci. Eng., 2020

Examining the variability in network populations and its role in generative models.

Viplove Arora, Dali Guo, Katherine D. Dunbar, Mario Ventresca

Netw. Sci., 2020

Improving neighbor-based collaborative filtering by using a hybrid similarity measurement.

Dawei Wang, Yuehwern Yih, Mario Ventresca

Expert Syst. Appl., 2020

2019

System of Systems Approach for Maintaining Wastewater System.

Ahmad Altarabsheh, Amr Kandil, Dulcy M. Abraham, Daniel DeLaurentis, Mario Ventresca

J. Comput. Civ. Eng., 2019

Multiple traveling salesman problem with drones: Mathematical model and heuristic approach.

Patchara Kitjacharoenchai, Mario Ventresca, Mohammad Moshref-Javadi, Seokcheon Lee, Jose M. A. Tanchoco, Patrick A. Brunese

Comput. Ind. Eng., 2019

2018

Evolutionary Algorithm for Selecting Wastewater System Configuration.

Ahmad Altarabsheh, Mario Ventresca, Amr Kandil

J. Comput. Civ. Eng., 2018

New Approach for Critical Pipe Prioritization in Wastewater Asset Management Planning.

Ahmad Altarabsheh, Mario Ventresca, Amr Kandil

J. Comput. Civ. Eng., 2018

New Multiobjective Optimization Approach to Rehabilitate and Maintain Sewer Networks Based on Whole Lifecycle Behavior.

Ahmad Altarabsheh, Amr Kandil, Mario Ventresca

J. Comput. Civ. Eng., 2018

The bi-objective critical node detection problem.

Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman

Eur. J. Oper. Res., 2018

Modeling topologically resilient supply chain networks.

Viplove Arora, Mario Ventresca

Appl. Netw. Sci., 2018

A Mechanism Design Approach to Blockchain Protocols.

Abhishek Ray, Mario Ventresca, Hong Wan

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

An Ant Colony Approach for the Winner Determination Problem.

Abhishek Ray, Mario Ventresca

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

Using Algorithmic Complexity to Differentiate Cognitive States in fMRI.

Mario Ventresca

Proceedings of the Complex Networks and Their Applications VII, 2018

Evaluating the Natural Variability in Generative Models for Complex Networks.

Viplove Arora, Mario Ventresca

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Dynamic Generative Model of the Human Brain in Resting-State.

Dali Guo, Viplove Arora, Enrico Amico, Joaquín Goñi, Mario Ventresca

Proceedings of the Complex Networks & Their Applications VI, 2017

Attacking Unexplored Networks - The Probe-and-Attack Problem.

Bryan H. Chong, Mario Ventresca

Proceedings of the Complex Networks & Their Applications VI, 2017

Action-Based Model for Topologically Resilient Supply Networks.

Viplove Arora, Mario Ventresca

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

A meta-analysis of centrality measures for comparing and generating complex network models.

Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman

J. Comput. Sci., 2016

A Multi-objective Optimization Approach for Generating Complex Networks.

Viplove Arora, Mario Ventresca

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Network robustness versus multi-strategy sequential attack.

Mario Ventresca, Dionne M. Aleman

J. Complex Networks, 2015

An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks.

Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Investigating Fitness Measures for the Automatic Construction of Graph Models.

Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

2014

Approximation Algorithms for Detecting Critical Nodes.

Mario Ventresca, Dionne M. Aleman

Proceedings of the Examining Robustness and Vulnerability of Networked Systems, 2014

Genetic Programming for the Automatic Inference of Graph Models for Complex Networks.

Alexander Bailey, Mario Ventresca, Beatrice M. Ombuki-Berman

IEEE Trans. Evol. Comput., 2014

A randomized algorithm with local search for containment of pandemic disease spread.

Mario Ventresca, Dionne M. Aleman

Comput. Oper. Res., 2014

A derandomized approximation algorithm for the critical node detection problem.

Mario Ventresca, Dionne M. Aleman

Comput. Oper. Res., 2014

A Fast Greedy Algorithm for the Critical Node Detection Problem.

Mario Ventresca, Dionne M. Aleman

Proceedings of the Combinatorial Optimization and Applications, 2014

A Region Growing Algorithm for Detecting Critical Nodes.

Mario Ventresca, Dionne M. Aleman

Proceedings of the Combinatorial Optimization and Applications, 2014

2013

Evaluation of strategies to mitigate contagion spread using social network characteristics.

Mario Ventresca, Dionne M. Aleman

Soc. Networks, 2013

Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks.

Alexander Bailey, Beatrice M. Ombuki-Berman, Mario Ventresca

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures.

Mario Ventresca, Beatrice M. Ombuki-Berman, Andrew Runka

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

2012

Global search algorithms using a combinatorial unranking-based problem representation for the critical node detection problem.

Mario Ventresca

Comput. Oper. Res., 2012

An intuitive distance-based explanation of opposition-based sampling.

Shahryar Rahnamayan, G. Gary Wang, Mario Ventresca

Appl. Soft Comput., 2012

Automatic generation of graph models for complex networks by genetic programming.

Alexander Bailey, Mario Ventresca, Beatrice M. Ombuki-Berman

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Enhancing particle swarm optimization using generalized opposition-based learning.

Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, Mario Ventresca

Inf. Sci., 2011

2010

A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918].

Mario Ventresca, Shahryar Rahnamayan, Hamid R. Tizhoosh

Appl. Soft Comput., 2010

2009

Symmetry Induction in Computational Intelligence.

Mario Ventresca

PhD thesis, 2009

Improving gradient-based learning algorithms for large scale feedforward networks.

Mario Ventresca, Hamid R. Tizhoosh

Proceedings of the International Joint Conference on Neural Networks, 2009

A search space analysis for the waste collection vehicle routing problem with time windows.

Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ventresca

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Two Frameworks for Improving Gradient-Based Learning Algorithms.

Mario Ventresca, Hamid R. Tizhoosh

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Opposition-Based Computing.

Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

Introduction.

Hamid R. Tizhoosh, Mario Ventresca

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

A diversity maintaining population-based incremental learning algorithm.

Mario Ventresca, Hamid R. Tizhoosh

Inf. Sci., 2008

Numerical condition of feedforward networks with opposite transfer functions.

Mario Ventresca, Hamid R. Tizhoosh

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Epistasis in Multi-Objective Evolutionary Recurrent Neuro-Controllers.

Mario Ventresca, Beatrice M. Ombuki-Berman

Proceedings of the First IEEE Symposium on Artificial Life, 2007

Opposite Transfer Functions and Backpropagation Through Time.

Mario Ventresca, Hamid R. Tizhoosh

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Simulated Annealing with Opposite Neighbors.

Mario Ventresca, Hamid R. Tizhoosh

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Search Difficulty of Two-Connected Ring-based Topological Network Designs.

Beatrice M. Ombuki-Berman, Mario Ventresca

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006

A Memetic Algorithm for Performing Memory Assignment in Dual-Bank DSPs.

Gary Gréwal, Stelian Coros, Mario Ventresca

Int. J. Comput. Intell. Appl., 2006

Improving the Convergence of Backpropagation by Opposite Transfer Functions.

Mario Ventresca, Hamid R. Tizhoosh

Proceedings of the International Joint Conference on Neural Networks, 2006

Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks.

Mario Ventresca, Beatrice M. Ombuki-Berman

Proceedings of the International Joint Conference on Neural Networks, 2006

Optimized Memory Assignment for DSPs.

Gary Gréwal, Stelian Coros, Dilip K. Banerji, Andrew Morton, Mario Ventresca

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

A Genetic Algorithm for the Design of Minimum-cost Two-connected Networks with Bounded Rings.

Mario Ventresca, Beatrice M. Ombuki

Int. J. Comput. Intell. Appl., 2005

2004

Local Search Genetic Algorithms for the Job Shop Scheduling Problem.

Beatrice M. Ombuki, Mario Ventresca

Appl. Intell., 2004