Publicaciones en las que colabora con Carlos Fernández Lozano (23)

2019

  1. Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research

    Learning and Analytics in Intelligent Systems (Springer Nature), pp. 27-65

  2. Evaluation as a Continuous Improvement Process in the Learning of Programming Languages

    Advances in Intelligent Systems and Computing

2018

  1. Integrative multi-omics data-driven approach for metastasis prediction in cancer

    ACM International Conference Proceeding Series

  2. Mejora continua de la calidad de la docencia a partir del análisis de los resultados de evaluación

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 3

2016

  1. A methodology for the design of experiments in computational intelligence with multiple regression models

    PeerJ, Vol. 2016, Núm. 12

  2. Texture analysis in gel electrophoresis images using an integrative kernel-based approach

    Scientific Reports, Vol. 6

  3. Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils

    Engineering Computations (Swansea, Wales), Vol. 33, Núm. 4, pp. 995-1005

2015

  1. A hybrid evolutionary system for automated artificial neural networks generation and simplification in biomedical applications

    Current Bioinformatics, Vol. 10, pp. 672-691

  2. Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models

    Journal of Theoretical Biology, Vol. 384, pp. 50-58

  3. Texture classification using feature selection and kernel-based techniques

    Soft Computing, Vol. 19, Núm. 9, pp. 2469-2480

2014

  1. Improving enzyme regulatory protein classification by means of SVM-RFE feature selection

    Molecular BioSystems, Vol. 10, Núm. 5, pp. 1063-1071

  2. Markov mean properties for cell death-related protein classification

    Journal of Theoretical Biology, Vol. 349, pp. 12-21

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

    Communications in Computer and Information Science

  4. Two-dimensional gel electrophoresis image registration using block-matching techniques and deformation models

    Analytical Biochemistry, Vol. 454, Núm. 1, pp. 53-59

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. High order texture-based analysis in biomedical images

    Current Medical Imaging Reviews, Vol. 9, Núm. 4, pp. 309-317

  5. Hybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification

    The Scientific World Journal, Vol. 2013

  6. Kernel-based feature selection techniques for transport proteins based on Star graph topological indices

    Current Topics in Medicinal Chemistry, Vol. 13, Núm. 14, pp. 1681-1691