| 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 | 560 | 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 | 462 | 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 | 336 | 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 | 183 | 2011 |
| Local search genetic algorithms for the job shop scheduling problem BM Ombuki, M Ventresca Applied Intelligence 21 (1), 99-109, 2004 | 177 | 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 | 155 | 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 | 107 | 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 | 97 | 2012 |
| An intuitive distance-based explanation of opposition-based sampling S Rahnamayan, GG Wang, M Ventresca Applied Soft Computing 12 (9), 2828-2839, 2012 | 73 | 2012 |
| Simulated annealing with opposite neighbors M Ventresca, HR Tizhoosh 2007 IEEE Symposium on Foundations of Computational Intelligence, 186-192, 2007 | 73 | 2007 |
| Oppositional concepts in computational intelligence HR Tizhoosh, M Ventresca Springer, 2008 | 72 | 2008 |
| Efficiently identifying critical nodes in large complex networks M Ventresca, D Aleman Computational Social Networks 2, 1-16, 2015 | 69 | 2015 |
| A diversity maintaining population-based incremental learning algorithm M Ventresca, HR Tizhoosh Information Sciences 178 (21), 4038-4056, 2008 | 69 | 2008 |
| A derandomized approximation algorithm for the critical node detection problem M Ventresca, D Aleman Computers & Operations Research 43, 261-270, 2014 | 62 | 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 | 61 | 2020 |
| Opposite transfer functions and backpropagation through time M Ventresca, HR Tizhoosh 2007 IEEE Symposium on Foundations of Computational Intelligence, 570-577, 2007 | 55 | 2007 |
| Evaluation of strategies to mitigate contagion spread using social network characteristics M Ventresca, D Aleman Social Networks 35 (1), 75-88, 2013 | 54 | 2013 |
| Ant colony optimization for job shop scheduling problem M Ventresca, BM Ombuki no. February, 2004 | 54 | 2004 |
| Network robustness versus multi-strategy sequential attack M Ventresca, D Aleman Journal of Complex Networks 3 (1), 126-146, 2015 | 44 | 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 | 43 | 2018 |
H.R. TizhooshKIMIA Lab, Mayo Clinic在 mayo.edu 的电子邮件经过验证
