Mario Ventresca
Cited by
Cited by
Enhancing particle swarm optimization using generalized opposition-based learning
H Wang, Z Wu, S Rahnamayan, Y Liu, M Ventresca
Information sciences 181 (20), 4699-4714, 2011
Antibody landscapes after influenza virus infection or vaccination
JM Fonville, SH Wilks, SL James, A Fox, M Ventresca, M Aban, L Xue, ...
Science 346 (6212), 996-1000, 2014
Multiple traveling salesman problem with drones: Mathematical model and heuristic approach
P Kitjacharoenchai, M Ventresca, M Moshref-Javadi, S Lee, ...
Computers & Industrial Engineering 129, 14-30, 2019
Prevalence of antibodies against seasonal influenza A and B viruses in children in Netherlands
R Bodewes, G de Mutsert, FRM Van Der Klis, M Ventresca, S Wilks, ...
Clinical and Vaccine Immunology 18 (3), 469-476, 2011
Local search genetic algorithms for the job shop scheduling problem
BM Ombuki, M Ventresca
Applied Intelligence 21 (1), 99-109, 2004
Improving the convergence of backpropagation by opposite transfer functions
M Ventresca, HR Tizhoosh
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
The polyfunctionality of human memory CD8+ T cells elicited by acute and chronic virus infections is not influenced by age
A Lelic, CP Verschoor, M Ventresca, R Parsons, C Evelegh, D Bowdish, ...
PLoS pathogens 8 (12), e1003076, 2012
Global search algorithms using a combinatorial unranking-based problem representation for the critical node detection problem
M Ventresca
Computers & Operations Research 39 (11), 2763-2775, 2012
Simulated annealing with opposite neighbors
M Ventresca, HR Tizhoosh
2007 IEEE Symposium on Foundations of Computational Intelligence, 186-192, 2007
An intuitive distance-based explanation of opposition-based sampling
S Rahnamayan, GG Wang, M Ventresca
Applied Soft Computing 12 (9), 2828-2839, 2012
Oppositional concepts in computational intelligence
HR Tizhoosh, M Ventresca
Springer, 2008
A diversity maintaining population-based incremental learning algorithm
M Ventresca, HR Tizhoosh
Information Sciences 178 (21), 4038-4056, 2008
Efficiently identifying critical nodes in large complex networks
M Ventresca, D Aleman
Computational Social Networks 2, 1-16, 2015
A derandomized approximation algorithm for the critical node detection problem
M Ventresca, D Aleman
Computers & Operations Research 43, 261-270, 2014
Improving neighbor-based collaborative filtering by using a hybrid similarity measurement
D Wang, Y Yih, M Ventresca
Expert Systems with Applications 160, 113651, 2020
Evaluation of strategies to mitigate contagion spread using social network characteristics
M Ventresca, D Aleman
Social Networks 35 (1), 75-88, 2013
Opposite transfer functions and backpropagation through time
M Ventresca, HR Tizhoosh
2007 IEEE Symposium on Foundations of Computational Intelligence, 570-577, 2007
Ant colony optimization for job shop scheduling problem
M Ventresca, BM Ombuki
no. February, 2004
Network robustness versus multi-strategy sequential attack
M Ventresca, D Aleman
Journal of Complex Networks 3 (1), 126-146, 2015
The bi-objective critical node detection problem
M Ventresca, KR Harrison, BM Ombuki-Berman
European Journal of Operational Research 265 (3), 895-908, 2018
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