Publications by the researcher in collaboration with José Antonio Seoane Fernández (33)

2014

  1. Breast density classification to reduce false positives in CADe systems

    Computer Methods and Programs in Biomedicine, Vol. 113, Núm. 2, pp. 569-584

  2. Texture classification of proteins using support vector machines and bio-inspired metaheuristics

    Communications in Computer and Information Science

2013

  1. 2D-page texture classification using support vector machines and genetic algorithms an hybrid approach for texture image analysis

    BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms

  2. A texture-based classification method for proteins in two-dimensional electrophoresis gel images: A feature selection method using Support Vector Machines and Genetic Algorithms

    VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications

  3. Anonymizing patient genomic data for public sharing association studies

    Studies in Health Technology and Informatics

  4. Biomedical data integration in computational drug design and bioinformatics

    Current Computer-Aided Drug Design, Vol. 9, Núm. 1, pp. 108-117

  5. Exploring patterns of epigenetic information with data mining techniques

    Current Pharmaceutical Design, Vol. 19, Núm. 4, pp. 779-789

  6. New approaches in data integration for systems chemical biology

    Current Topics in Medicinal Chemistry, Vol. 13, Núm. 5, pp. 591-601

  7. SNP locator: A candidate SNP selection tool

    International Journal of Data Mining, Modelling and Management, Vol. 5, Núm. 3, pp. 193-209

  8. Texture classification using kernel-based techniques

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

2011

  1. A tree classifier for automatic breast tissue classification based on BIRADS categories

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

  2. An artificial neural network improves the non-invasive diagnosis of significant fibrosis in HIV/HCV coinfected patients

    Journal of Infection, Vol. 62, Núm. 1, pp. 77-86