Local Search Genetic Algorithms for the Job Shop Scheduling Problem. - Beatrice M. Ombuki; Mario Ventresca (Appl. Intell., 2004)

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)

Optimized Memory Assignment for DSPs. - Gary Gréwal; Stelian Coros; Dilip K. Banerji; Andrew Morton; Mario Ventresca (IEEE Congress on Evolutionary Computation, 2006)

Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks. - Mario Ventresca; Beatrice M. Ombuki-Berman (IJCNN, 2006)

Improving the Convergence of Backpropagation by Opposite Transfer Functions. - Mario Ventresca; Hamid R. Tizhoosh (IJCNN, 2006)

A Memetic Algorithm for Performing Memory Assignment in Dual-Bank DSPs. - Gary Gréwal; Stelian Coros; Mario Ventresca (Int. J. Comput. Intell. Appl., 2006)

Search Difficulty of Two-Connected Ring-based Topological Network Designs. - Beatrice M. Ombuki-Berman; Mario Ventresca (FOCI, 2007)

Simulated Annealing with Opposite Neighbors. - Mario Ventresca; Hamid R. Tizhoosh (FOCI, 2007)

Opposite Transfer Functions and Backpropagation Through Time. - Mario Ventresca; Hamid R. Tizhoosh (FOCI, 2007)

Epistasis in Multi-Objective Evolutionary Recurrent Neuro-Controllers. - Mario Ventresca; Beatrice M. Ombuki-Berman (ALIFE, 2007)

Numerical condition of feedforward networks with opposite transfer functions. - Mario Ventresca; Hamid R. Tizhoosh (IJCNN, 2008)

A diversity maintaining population-based incremental learning algorithm. - Mario Ventresca; Hamid R. Tizhoosh (Inf. Sci., 2008)

Introduction. - Hamid R. Tizhoosh; Mario Ventresca (Oppositional Concepts in Computational Intelligence, 2008)

Opposition-Based Computing. - Hamid R. Tizhoosh; Mario Ventresca; Shahryar Rahnamayan (Oppositional Concepts in Computational Intelligence, 2008)

Two Frameworks for Improving Gradient-Based Learning Algorithms. - Mario Ventresca; Hamid R. Tizhoosh (Oppositional Concepts in Computational Intelligence, 2008)

A search space analysis for the waste collection vehicle routing problem with time windows. - Andrew Runka; Beatrice M. Ombuki-Berman; Mario Ventresca (GECCO, 2009)

Improving gradient-based learning algorithms for large scale feedforward networks. - Mario Ventresca; Hamid R. Tizhoosh (IJCNN, 2009)

Symmetry Induction in Computational Intelligence. - Mario Ventresca (2009)

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)

Enhancing particle swarm optimization using generalized opposition-based learning. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Yong Liu 012; Mario Ventresca (Inf. Sci., 2011)

Automatic generation of graph models for complex networks by genetic programming. - Alexander Bailey; Mario Ventresca; Beatrice M. Ombuki-Berman (GECCO, 2012)

An intuitive distance-based explanation of opposition-based sampling. - Shahryar Rahnamayan; G. Gary Wang; Mario Ventresca (Appl. Soft Comput., 2012)

Global search algorithms using a combinatorial unranking-based problem representation for the critical node detection problem. - Mario Ventresca (Comput. Oper. Res., 2012)

Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures. - Mario Ventresca; Beatrice M. Ombuki-Berman; Andrew Runka (EvoCOP, 2013)

Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks. - Alexander Bailey; Beatrice M. Ombuki-Berman; Mario Ventresca (GECCO, 2013)

Evaluation of strategies to mitigate contagion spread using social network characteristics. - Mario Ventresca; Dionne M. Aleman (Soc. Networks, 2013)

A Region Growing Algorithm for Detecting Critical Nodes. - Mario Ventresca; Dionne M. Aleman (COCOA, 2014)

A Fast Greedy Algorithm for the Critical Node Detection Problem. - Mario Ventresca; Dionne M. Aleman (COCOA, 2014)

A derandomized approximation algorithm for the critical node detection problem. - Mario Ventresca; Dionne M. Aleman (Comput. Oper. Res., 2014)

A randomized algorithm with local search for containment of pandemic disease spread. - Mario Ventresca; Dionne M. Aleman (Comput. Oper. Res., 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)

Approximation Algorithms for Detecting Critical Nodes. - Mario Ventresca; Dionne M. Aleman (Examining Robustness and Vulnerability of Networked Systems, 2014)

Investigating Fitness Measures for the Automatic Construction of Graph Models. - Kyle Robert Harrison; Mario Ventresca; Beatrice M. Ombuki-Berman (EvoApplications, 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 (EvoApplications, 2015)

Network robustness versus multi-strategy sequential attack. - Mario Ventresca; Dionne M. Aleman (J. Complex Networks, 2015)

A Multi-objective Optimization Approach for Generating Complex Networks. - Viplove Arora; Mario Ventresca (GECCO (Companion), 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)

Action-Based Model for Topologically Resilient Supply Networks. - Viplove Arora; Mario Ventresca (COMPLEX NETWORKS, 2017)

Attacking Unexplored Networks - The Probe-and-Attack Problem. - Bryan H. Chong; Mario Ventresca (COMPLEX NETWORKS, 2017)

Dynamic Generative Model of the Human Brain in Resting-State. - Dali Guo; Viplove Arora; Enrico Amico; Joaquín Goñi; Mario Ventresca (COMPLEX NETWORKS, 2017)

Evaluating the Natural Variability in Generative Models for Complex Networks. - Viplove Arora; Mario Ventresca (COMPLEX NETWORKS (1), 2018)

Using Algorithmic Complexity to Differentiate Cognitive States in fMRI. - Mario Ventresca (COMPLEX NETWORKS (2), 2018)

An Ant Colony Approach for the Winner Determination Problem. - Abhishek Ray; Mario Ventresca (EvoCOP, 2018)

A Mechanism Design Approach to Blockchain Protocols. - Abhishek Ray; Mario Ventresca; Hong Wan (iThings/GreenCom/CPSCom/SmartData, 2018)

Modeling topologically resilient supply chain networks. - Viplove Arora; Mario Ventresca (Appl. Netw. Sci., 2018)

The bi-objective critical node detection problem. - Mario Ventresca; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (Eur. J. Oper. Res., 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)

New Approach for Critical Pipe Prioritization in Wastewater Asset Management Planning. - Ahmad Altarabsheh; Mario Ventresca; Amr Kandil (J. Comput. Civ. Eng., 2018)

Evolutionary Algorithm for Selecting Wastewater System Configuration. - Ahmad Altarabsheh; Mario Ventresca; Amr Kandil (J. Comput. Civ. Eng., 2018)

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)

System of Systems Approach for Maintaining Wastewater System. - Ahmad Altarabsheh; Amr Kandil; Dulcy M. Abraham; Daniel DeLaurentis; Mario Ventresca (J. Comput. Civ. Eng., 2019)

Improving neighbor-based collaborative filtering by using a hybrid similarity measurement. - Dawei Wang 013; Yuehwern Yih; Mario Ventresca (Expert Syst. Appl., 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)

Modeling Communication Processes in the Human Connectome through Cooperative Learning. - Uttara Tipnis; Enrico Amico; Mario Ventresca; Joaquín Goñi (IEEE Trans. Netw. Sci. Eng., 2020)

Supervised Link Weight Prediction Using Node Metadata. - Larissa Mori; Mario Ventresca; Toyya A. Pujol (COMPLEX NETWORKS, 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)

A Graph-Based Ant Algorithm for the Winner Determination Problem in Combinatorial Auctions. - Abhishek Ray; Mario Ventresca; Karthik N. Kannan (Inf. Syst. Res., 2021)

Identifying the source of an epidemic using particle swarm optimization. - John MaGee; Viplove Arora; Mario Ventresca (GECCO, 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)

Social Influence Network Simulation Design Affects Behavior of Aggregated Entropy. - Michael J. Garee; Hong Wan; Mario Ventresca (IEEE Trans. Comput. Soc. Syst., 2022)

Investigating cognitive ability using action-based models of structural brain networks. - Viplove Arora; Enrico Amico; Joaquín Goñi; Mario Ventresca (J. Complex Networks, 2022)

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)

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language. - Larissa Mori; Carlos Sousa de Oliveira; Yuehwern Yih; Mario Ventresca (CoRR, 2025)