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In Revision
- A Randomized Approximation Algorithm for the Critical Node Detection Problem
M. Ventresca and D. Aleman
Computers and Operations Research, 2013. [Impact: 1.98]
- Genetic Programming for the Automatic Inference of Graph Models for Complex Networks
A. Bailey, M. Ventresca and B. Ombuki-Berman
IEEE Transactions on Evolutionary Computation, 2013. [Impact: 3.34]
Journals
- Evaluation of Strategies to Mitigate Contagion Spread Using Social Network Characteristics
M. Ventresca and D. Aleman
(in press) Social Networks, 2013. [Impact: 3.48]
- The Polyfunctionality of Human Memory CD8+ T Cells Elicited by Acute and Chronic Virus Infections Is Not Influenced by Age
A. Lelic, C. Verschoor, M. Ventresca, R. Parsons, C. Evelegh, D. Bowdish, M. R. Betts, M. B. Loeb and J. L. Bramson
PLoS Pathogens, 8(12):e1003076, 2012. [Impact: 9.13]
- Global Search Algorithms Using a Combinatorial Unranking-Based Problem Representation for the Critical Node Detection Problem
M. Ventresca
Computers and Operations Research, 39(11):2763-2775, 2012. [Impact: 1.98] Problem Instances
- An Intuitive Distance-Based Explanation of Opposition-Based Sampling
S. Rahnamayan, G. Wang and M. Ventresca
Applied Soft Computing, 12(9):2828-2839, 2012. [Impact: 2.61]
- Enhancing Particle Swarm Optimization using Generalized Opposition-Based Learning
H. Wang, Z. Wu, S. Rahnamayan, Y. Liu and M. Ventresca
Information Sciences, 181(20):4699-4714, 2011. [Impact: 2.98]
- Prevalence of Antibodies Against Seasonal Influenza A and B Viruses in Children in The Netherlands
R. Bodewes, G. de Mutsert, F. van der Klis, M. Ventresca, S. Wilks, D. Smith, M. koopmans, R. A. M. Fouchier, A. D. M. E. Osterhaus, G. F. Rimmelzwaan
Clinical and Vaccine Immunology, 18(3):469-476, 2011. [Impact: 2.55]
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A Note on Opposition Versus Randomness in Soft Computing Techniques
M. Ventresca, S. Rahnamayan and H. R. Tizhoosh
Applied Soft Computing, 10(3):956-967, 2010. [Impact: 2.61]
- A Diversity Maintaining Population-Based Incremental Learning Algorithm
M. Ventresca and H. R. Tizhoosh
Information Sciences, 178(21):4038-4056, 2008. [Impact: 2.98]
- A Memetic Algorithm for Performing Memory Assignment in Dual-Bank DSPs
G. Grewal, S. Coros and M. Ventresca
Computational Intelligence and Applications, 6(4):473-497, 2006. [Impact: 0.5]
- A Genetic Algorithm for the Design of Two Connected Networks with Bounded Rings
M. Ventresca and B. Ombuki
Computational Intelligence and Applications, 5(2):267-281, 2005. [Impact: 0.5]
- Local Search Genetic Algorithm for the Job Shop Scheduling Problem
B. Ombuki and M. Ventresca
Applied Intelligence, 21(1):99-109, 2004. [Impact: 0.85]
Conferences
- Automatic Inference of Hierarchical Graph Models using Genetic Programming with an Application to Cortical Networks
A. Bailey, M. Ventresca and B. Ombuki-Berman
(to appear), Genetic and Evolutionary Computation Conference (GECCO), 2013.
- Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures
M. Ventresca, A. Runka and B. Ombuki-Berman
13th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), pp: 214-225, Vienna, Austria, 2013.
- Automatic Generation of Graph Models For Complex Networks by Genetic Programming
A. Bailey, M. Ventresca and B. Ombuki-Berman
Genetic and Evolutionary Computation Conference (GECCO), pp: 711-718, Philadelphia, USA, 2012.
- A Search Space Analysis for the Waste Collection Vehicle Routing Problem with Time Windows
A. Runka, B. Ombuki-Berman and M. Ventresca
Genetic and Evolutionary Computation Conference (GECCO), pp:1813-1814, Montreal, Canada, 2009.
- Improving Gradient-Based Learning Algorithms for Large Scale Neural Networks
M. Ventresca and H. R. Tizhoosh
IEEE International Joint Conference on Neural Networks, pp:1529-1536, Atlanta, USA, 2009.
- Numerical Condition of Feedforward Networks with Opposite Transfer Functions
M. Ventresca and H. R. Tizhoosh
IEEE International Joint Conference on Neural Networks (IJCNN), pp:3232-3239, Hong Kong, China, 2008.
- Simulated Annealing with Opposite Neighbors
M. Ventresca and H. R. Tizhoosh
IEEE Symposium on Foundations of Computational Intelligence (FOCI), pp:186-192, Honolulu, USA, 2007.
- Opposite Transfer Functions and Backpropagation Through Time
M. Ventresca and H. R. Tizhoosh
IEEE Symposium on Foundations of Computational Intelligence (FOCI), pp:570-577, Honolulu, USA, 2007.
- Epistasis in Multi-Objective Evolutionary Recurrent Neuro-Controllers
M. Ventresca and B. Ombuki-Berman
IEEE Symposium on Artificial Life (CI-ALIFE), pp:77-84, Honolulu, USA, 2007.
- Search Difficulty of Two-Connected Ring-based Topological Network Designs
B. Ombuki-Berman and M. Ventresca
IEEE Symposium on Foundations of Computational Intelligence (FOCI), pp:267-274, Honolulu, USA, 2007.
- Improving the Convergence of Backpropagation by Opposite Transfer Functions
M. Ventresca, H. R. Tizhoosh
International Joint Conference on Neural Networks (IJCNN), pp:9527-9534, Vancouver, Canada, 2006.
- Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks
M. Ventresca and B. Ombuki
International Joint Conference on Neural Networks (IJCNN), pp:8947-8954, Vancouver, Canada, 2006.
- Optimized Memory Assignment for DSPs
G. Grewal, S. Coros, D. Banerji, A. Morton and M. Ventresca
Congress on Evolutionary Computation (CEC), pp:371-379, Vancouver, Canada, 2006.
- Ant Colony Optimization for Job Shop Scheduling Problem
M. Ventresca and B. Ombuki
8th International Conference On Artificial Intelligence and Soft Computing (ASC 2004), CDROM:451-152. Marbella, Spain, 2004.
- A Genetic Algorithm for the Design of Two Connected Networks with Bounded Rings
M. Ventresca and B. Ombuki
8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), Birmingham, UK, 2004.
- Meta-heuristics for the Job Shop Scheduling Problem
M. Ventresca and B. Ombuki
Proceedings of Late Breaking Papers, Genetic and Evolutionary Computation Conference(GECCO) pp:303-306, Chicago, USA, 2003.
Books
- Oppositional Concepts in Computational Intelligence
H. R. Tizhoosh and M. Ventresca (Eds.),
Studies in Computational Intelligence, Springer-Verlag, 2008.
Book Chapters
- The Use of Opposition for Decreasing Function Evaluations in Population-Based Search
M. Ventresca, S. Rahnamayan and H. R. Tizhoosh
Computational Intelligence in Optimization-Applications and Implementations, Springer-Verlag, 2010.
- Two Frameworks for Improving Gradient-Based Learning Algorithms
M. Ventresca and H. R. Tizhoosh
Oppositional Concepts in Computational Intellligence, 2008.
- Opposition-Based Computing
H. R. Tizhoosh, M. Ventresca and S. Rahnamayan
Oppositional Concepts in Computational Intellligence, 2008.
Refereed and Invited Abstracts
- A Critical Node Detection Approach to Pandemic Planning
M. Ventresca and D. Aleman
(to appear), 55th Canadian Operational Research Society Annual Conference, 2013.
- Infectious Disease Mitigation: From Contact Networks to Public Policies
M. Ventresca and D. Aleman
(to appear), INFORMS Healthcare, 2013.
- Using a Pandemic Disease Spread Simulation Model to Make Deterministic, Graph-Theory Based Vaccine Decisions
D. Aleman and M. Ventresca
(to appear), IIE Industrial and Systems Engineering Research Conference (ISERC), 2013.
- Evaluation of Disease Mitigation Strategies Using Social Network Characteristics
M. Ventresca and D. Aleman
INFORMS Annual Meeting, Phoenix, USA, 2012.
- Simplifying the Interpretation of Human Serology in Vaccine Selection
S.L. James, J.M. Fonville, M. Ventresca, L. Xue, S. Wilks, Y. Wong, G. van der Net, R. Bodewes, C.A. Russell, G.F. Rimmelzwaan, A. Mosterin, N. Masurel, J.C. de Jong, W.E.P. Beyer, F. Pistoor, A. Palache, A. Hurt, I.G. Barr, A.D.M.E. Osterhaus, R.A.M. Fouchier and D.J. Smith
Public Health Science, Royal Society of Medicine, 2012.
- Antibody Landscapes: Quantifying the Antibody Immune Response
J.M. Fonville, S. L. James, M. Ventresca, L. Xue, S. Wilks, Y. Wong, G. van der Net, R. Bodewes, C.A. Russell, G.F. Rimmelzwaan, A. Mosterin, N. Masurel, J.C. de Jong, W.E. Beyer, F. Pistoor, A. Palache, A. Hurt, I.G. Barr, A.D.M.E. Osterhaus, R.A.M. Fouchier and D.J. Smith
6th Orthomyxovirus Research Conference, Montreal 2012.
- Controlling for Antigenic Differences Simplifies the Interpretation of Human Serology Data
S. L. James, M. Ventresca, S. Wilks, Y. Wong, G. van der Net, R. Bodewes, C.A. Russell, G.F. Rimmelzwaan, A. Mosterin, N. Masurel, J.C. de Jong, W.E. Beyer, F. Pistoor, A. Palache, A.D.M.E. Osterhaus, R.A.M. Fouchier and D.J. Smith
The Fourth ESWI Influenza Conference, Malta, 2011.