Facing classification problems with particle swarm optimization I De Falco, A Della Cioppa, E Tarantino Applied Soft Computing 7 (3), 652-658, 2007 | 245 | 2007 |
Discovering interesting classification rules with genetic programming I De Falco, A Della Cioppa, E Tarantino Applied Soft Computing 1 (4), 257-269, 2002 | 184 | 2002 |
Mutation-based genetic algorithm: performance evaluation I De Falco, A Della Cioppa, E Tarantino Applied Soft Computing 1 (4), 285-299, 2002 | 139 | 2002 |
Differential evolution as a viable tool for satellite image registration I De Falco, A Della Cioppa, D Maisto, E Tarantino Applied Soft Computing 8 (4), 1453-1462, 2008 | 116 | 2008 |
Improving search by incorporating evolution principles in parallel tabu search I De Falco, R Del Balio, E Tarantino, R Vaccaro Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE …, 1994 | 112 | 1994 |
Differential evolution for automatic rule extraction from medical databases I De Falco Applied soft computing 13 (2), 1265-1283, 2013 | 82 | 2013 |
A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system G Sannino, I De Falco, G De Pietro Applied Soft Computing 34, 205-216, 2015 | 61 | 2015 |
Evaluation of particle swarm optimization effectiveness in classification I De Falco, A Della Cioppa, E Tarantino Fuzzy Logic and Applications: 6th International Workshop, WILF 2005, Crema …, 2006 | 59 | 2006 |
Extremal optimization applied to load balancing in execution of distributed programs I De Falco, E Laskowski, R Olejnik, U Scafuri, E Tarantino, M Tudruj Applied Soft Computing 30, 501-513, 2015 | 57 | 2015 |
Performance of genetic programming to extract the trend in noisy data series A Borrelli, I De Falco, A Della Cioppa, M Nicodemi, G Trautteur Physica A: Statistical Mechanics and its Applications 370 (1), 104-108, 2006 | 53 | 2006 |
An automatic rule extraction-based approach to support OSA events detection in an mHealth system G Sannino, I De Falco, G De Pietro IEEE, 2014 | 52* | 2014 |
Biological invasion–inspired migration in distributed evolutionary algorithms I De Falco, A Della Cioppa, D Maisto, U Scafuri, E Tarantino Information Sciences 207, 50-65, 2012 | 52 | 2012 |
A continuous noninvasive arterial pressure (CNAP) approach for health 4.0 systems G Sannino, I De Falco, G De Pietro IEEE Transactions on Industrial Informatics 15 (1), 498-506, 2018 | 47 | 2018 |
Investigating surrogate-assisted cooperative coevolution for large-scale global optimization I De Falco, A Della Cioppa, GA Trunfio Information Sciences 482, 1-26, 2019 | 45 | 2019 |
An evolutionary-fuzzy DSS for assessing health status in multiple sclerosis disease M Esposito, I De Falco, G De Pietro International journal of medical informatics 80 (12), e245-e254, 2011 | 44 | 2011 |
Evolutionary neural networks for nonlinear dynamics modeling I De Falco, A Iazzetta, P Natale, E Tarantino Parallel Problem Solving from Nature—PPSN V: 5th International Conference …, 1998 | 43 | 1998 |
An introduction to Evolutionary Algorithms and their application to the Aerofoil Design Problem-Part I: the Algorithms I De Falco von Karman Lecture Series on Fluid Dynamics, 1997 | 43* | 1997 |
A mobile personalized tourist guide and its user evaluation E Tarantino, I De Falco, U Scafuri Information Technology & Tourism 21 (3), 413-455, 2019 | 42 | 2019 |
Monitoring obstructive sleep apnea by means of a real-time mobile system based on the automatic extraction of sets of rules through differential evolution G Sannino, I De Falco, G De Pietro Journal of biomedical informatics 49, 84-100, 2014 | 42 | 2014 |
Satellite image registration by distributed differential evolution I De Falco, A Della Cioppa, D Maisto, U Scafuri, E Tarantino Workshops on Applications of Evolutionary Computation, 251-260, 2007 | 41 | 2007 |