Publicaciones en las que colabora con JOSE DAVID MARTIN GUERRERO (24)

2018

  1. Modeling the mechanical behavior of the breast tissues under compression in real time

    Lecture Notes in Computational Vision and Biomechanics, Vol. 27, pp. 583-592

2016

  1. A new visualization tool for data mining techniques

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 137-154

  2. Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue

    IEEE International Conference on Data Mining Workshops, ICDMW

2014

  1. Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques

    Computer Methods and Programs in Biomedicine, Vol. 117, Núm. 2, pp. 208-217

2012

  1. Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients

    Expert Systems with Applications, Vol. 39, Núm. 10, pp. 8793-8798

2009

  1. Simucapra: Educational software application for Animal Nutrition based on MATLAB

    International Journal of Engineering Education, Vol. 25, Núm. 5, pp. 998-1004

2008

  1. A teaching laboratory in analog electronics: Changes to address the Bologna requirements

    IEEE Transactions on Education, Vol. 51, Núm. 4, pp. 456-460

  2. Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal

    Expert Systems with Applications, Vol. 34, Núm. 4, pp. 2988-2994

2007

  1. Steady-state and tracking analysis of a robust adaptive filter with low computational cost

    Signal Processing, Vol. 87, Núm. 1, pp. 210-215

  2. Weekly milk prediction on dairy goats using neural networks

    Neural Computing and Applications, Vol. 16, Núm. 4-5, pp. 373-381

2004

  1. Machine learning methods for one-session ahead prediction of accesses to page categories

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3137, pp. 421-424

  2. Profiled support vector machines for antisense oligonucleotide efficay prediction

    BMC Bioinformatics, Vol. 5

  3. Regularized RBF networks for hyperspectral data classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3212, pp. 429-436