Juan C. Fernández

Learn More
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology 1 2 3 Your article is protected by copyright and all rights are held exclusively by Springer-Verlag. This e-offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive(More)
The main objective of this work is to automatically design neural network models with sigmoid basis units for binary classification tasks. The classifiers that are obtained achieve a double objective: a high classification level in the dataset and a high classification level for each class. We present MPENSGA2, a Memetic Pareto Evolutionary approach based(More)
Table-top laser-plasma ion accelerators have many exciting applications, many of which require ion beams with simultaneous narrow energy spread and high conversion efficiency. However, achieving these requirements has been elusive. Here we report the experimental demonstration of laser-driven ion beams with narrow energy spread and energies up to 18 MeV per(More)
INTRODUCTION The purpose of this work is to present 8 minilaparoscopic-assisted transvaginal appendectomies using rigid instruments in patients with acute appendicitis. MATERIAL AND METHODS Eight minilaparoscopic-assisted transvaginal appendectomies were performed from the 10th of August 2009 to the 30th of June 2010. The inclusion criteria were women(More)
Cellular and subcellular organization and distribution of actin filaments have been studied with various techniques. The use of fluorescence photo-oxidation combined with phalloidin conjugates with eosin has allowed the examination of the precise cellular and subcellular location of F-actin. Correlative fluorescence light microscopy and transmission(More)
The main objective of this work is to automatically design artificial neural network, ANN, models with sigmoid basis units for mul-ticlassification tasks in predictive microbiology. The classifiers obtained achieve a double objective: high classification level in the dataset and high classification level for each class. For learning, the structure and(More)
Results from research on fusion fast ignition (FI) initiated by laser-driven ion beams is encouraging so far. FI based on a beam of quasi-monoenergetic ions (protons or heavier ions) has the advantage of a more localized energy deposition, which minimizes the required total beam energy, bringing it close to the theoretical minimum of ≈ 10 kJ. High-current,(More)
This work proposes a hybrid methodology for the detection and prediction of Extreme Significant Wave Height (ESWH) periods in oceans. In a first step, wave height time series is approximated by a labeled sequence of segments, which is obtained using a genetic algorithm in combination with a likelihood-based segmentation (GA+LS). Then, an artificial neural(More)
Staphylococcus aureus contamination of foods is one of the most prevalent causes of gastroenteritis worldwide, which is caused by ingestion of preformed toxins. Ready-to-eat foods without previous heat treatment before consumption are susceptible to be contaminated during processing, storage or handling at both retail points and domestic homes. In this(More)
  • 1