SimBa-2: Improving a novel similarity-based crossover for the evolution of artificial neural networks, 2011 11th International Conference on Intelligent Systems Design and Applications, pp.374-379, 2011. ,
DOI : 10.1109/ISDA.2011.6121684
Tettamanzi: A novel similarity-based crossover for artificial neural network evolution, Parallel Problem Solving from Nature PPSN XI, pp.344-353, 2010. ,
Evolving Neural Networks for Static Single-Position Automated Trading, Journal of Artificial Evolution and Applications, vol.100, issue.4, pp.1-17, 2008. ,
DOI : 10.1257/0002828043052277
Tettamanzi: A new genetic approach for neural network design In: Engineering Evolutionary Intelligent Systems, Studies in Computational Intelligence, 2008. ,
Improving the Quality of ECGs Collected Using Mobile Phones: The PhysioNet/Computing in Cardiology Challenge 2011. Contribution sent to the 38th, Physionet Cardiology Challenge, 2011. ,
Improving the quality of ECGs collected using mobile phones: The 12th Annual Physionet/Computing in Cardiology Challenge, Computing in Cardiology Challenge, vol.38, 2011. ,
Physionet Challenge 2011: Improving the Quality of Electrocardiography Data Collected Using Real Time QRS-Complex and T-Wave Detection. Contribution sent to the 38th, Physionet Cardiology Challenge, 2011. ,
An efficient ECG modeling for heartbeat classification, 10th Symposium on Neural Network Applications in Electrical Engineering, 2010. ,
DOI : 10.1109/NEUREL.2010.5644105
A Multistage Computer Test Algorithm for Improving the Quality of ECGs. Contribution sent to the 38th, Physionet Cardiology Challenge, 2011. ,
Assessment of ECG Quality on an Android Platform. Contribution sent to the 38th, Physionet Cardiology Challenge, 2011. ,
An Algorithm for Assessment of ECG Quality Acquired Via Mobile Telephone. Contribution sent to the 38th, Physionet Cardiology Challenge, 2011. ,
Real-time Visualization of Signal Quality during Mobile ECG Recording. Contribution sent to the 38th Physionet Cardiology Challenge, 2011. ,
Simple Scoring System for ECG Signal Quality Assessment on Android Platform. Contribution sent to the 38th, Physionet Cardiology Challenge, 2011. ,
Methods of conjugate gradients for solving linear systems, Journal of Research of the National Bureau of Standards, vol.49, issue.6, 1952. ,
Block-Based Neural Networks for Personalized ECG Signal Classification, IEEE Transactions on Neural Networks, vol.18, issue.6, 2007. ,
DOI : 10.1109/TNN.2007.900239
Evolving Neural Networks through Augmenting Topologies, Evolutionary Computation, vol.7, issue.2, pp.99-127, 2002. ,
DOI : 10.1016/S0096-3003(97)10005-4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.4591
Learning algorithms in neural networks, 1990. ,
An Introduction to Neural Networks, 1997. ,
DOI : 10.4324/9780203451519
Van der Smagt. An introduction to neural networks, URL, 1996. ,
Evolving artificial neural networks, Proceedings of the IEEE, pp.1423-1447, 1999. ,
Neural networks for classification: a survey, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.30, issue.4, pp.451-462, 2000. ,
DOI : 10.1109/5326.897072
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems, Neural Computing and Applications, vol.179, issue.1, pp.1165-1195, 2010. ,
DOI : 10.1007/s00521-010-0362-z
Evolutionary Artificial Neural Network Design and Training for wood veneer classification, Engineering Applications of Artificial Intelligence, vol.22, issue.4-5, pp.1165-1195, 2009. ,
DOI : 10.1016/j.engappai.2009.01.013
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology, Applied Soft Computing, vol.11, issue.1, pp.534-550, 2011. ,
DOI : 10.1016/j.asoc.2009.12.013
Modeling Turning Points in Financial Markets with Soft Computing Techniques, of Studies in Computational Intelligence, pp.147-167, 2010. ,
DOI : 10.1007/978-3-642-13950-5_9
Incipient Fault Diagnosis in Electrical Drives by Tuned Neural Networks, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, pp.1284-1289, 2006. ,
DOI : 10.1109/IMTC.2006.328495
Dermatology Disease Classification via Novel Evolutionary Artificial Neural Network, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), pp.148-152, 2007. ,
DOI : 10.1109/DEXA.2007.71
Evolutionary ANNs: A state of the art survey, Intelligenza Artificiale, vol.5, pp.19-35, 2011. ,
Novel evolutionary algorithms for supervised classification problems: an experimental study, Evolutionary Intelligence, vol.8, issue.2, pp.1-14, 2011. ,
DOI : 10.1007/s12065-010-0047-7
Recent Advances in Evolutionary Computation, Journal of Computer Science and Technology, vol.44, issue.5, pp.1-18, 2006. ,
DOI : 10.1007/s11390-006-0001-4
Neuroevolution: from architectures to learning, Evolutionary Intelligence, vol.87, issue.9, pp.47-62, 2008. ,
DOI : 10.1007/s12065-007-0002-4
Genetic Algorithms in Search, Optimization and Machine Learning, 1989. ,
Numerical Optimization for Computer Models, 1981. ,
The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA), Evolutionary Computation, vol.2, issue.4, pp.335-360, 1993. ,
DOI : 10.1016/0301-6226(91)90060-4
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization, Neural Networks, vol.19, issue.4, pp.514-528, 2006. ,
DOI : 10.1016/j.neunet.2005.08.014
Genetic algorithms and permutation problems: a comparison of recombination operators for neural net structure specification, [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks, pp.108-122, 1992. ,
DOI : 10.1109/COGANN.1992.273944