Publicaciones en las que colabora con Javier P. Florido (15)

2013

  1. An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of artificial neural networks

    Neurocomputing, Vol. 121, pp. 64-78

  2. Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: Structural information, non-gaps percentage and totally conserved columns

    Bioinformatics, Vol. 29, Núm. 17, pp. 2112-2121

  3. Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques

    Nucleic Acids Research, Vol. 41, Núm. 1

2012

  1. A deterministic model selection scheme for incremental RBFNN construction in time series forecasting

    Neural Computing and Applications, Vol. 21, Núm. 3, pp. 595-610

  2. Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II

    2012 IEEE Congress on Evolutionary Computation, CEC 2012

  3. Selecting negative samples for PPI prediction using hierarchical clustering methodology

    Journal of Applied Mathematics, Vol. 2012

  4. Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification

    Computers in Biology and Medicine, Vol. 42, Núm. 6, pp. 639-650

2011

  1. Emerging methodologies in multiple sequence alignment using high throughput data

    Advances in Intelligent and Soft Computing

  2. Generating balanced learning and test sets for function approximation problems

    International Journal of Neural Systems, Vol. 21, Núm. 3, pp. 247-263

  3. Prediction of functional associations between proteins by means of a cost-sensitive artificial neural network

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Using machine learning techniques and genomic/proteomic information from known databases for PPI prediction

    Advances in Intelligent and Soft Computing

2010

  1. Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips

    Proceedings of the International Joint Conference on Neural Networks

2009

  1. Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. On selecting the best pre-processing method for affymetrix genechips

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Prediction of protein-protein interactions in Yeast using SVMs with Genomics/Proteomics information and feature selection

    2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009