Publications by the researcher in collaboration with Olga Valenzuela Cansino (17)

2019

  1. Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

    PLoS ONE, Vol. 14, Núm. 2

2010

  1. Interfaz para MPI en MATLAB aplicada a la docencia en programación paralela

    La innovación educativa en el contexto actual de la educación superior (Vicerreitoría de Formación e Innovación Educativa), pp. 221-225

  2. Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks

    Neural Computing and Applications, Vol. 19, Núm. 3, pp. 465-470

2009

  1. Intelligent system based on genetic programming for atrial fibrillation classification

    Applied Artificial Intelligence, Vol. 23, Núm. 10, pp. 895-909

  2. Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems

    Neurocomputing, Vol. 72, Núm. 16-18, pp. 3541-3555

2008

  1. Hybridization of intelligent techniques and ARIMA models for time series prediction

    Fuzzy Sets and Systems, Vol. 159, Núm. 7, pp. 821-845

  2. Soft-computing techniques and ARMA model for time series prediction

    Neurocomputing, Vol. 71, Núm. 4-6, pp. 519-537

  3. Studying possibility in a clustering algorithm for RBFNN design for function approximation

    Neural Computing and Applications, Vol. 17, Núm. 1, pp. 75-89

2006

  1. Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time

    Fuzzy Sets and Systems, Vol. 157, Núm. 16, pp. 2241-2258

  2. Hierarchical structure for function approximation using radial basis function

    WSEAS Transactions on Mathematics, Vol. 5, Núm. 1, pp. 75-80

  3. Predicting time series with advanced hybrid systems

    WSEAS Transactions on Mathematics, Vol. 5, Núm. 1, pp. 69-74

  4. Self-adaptive robot control using fuzzy logic

    International Workshop on Advanced Motion Control, AMC

2005

  1. A possibilistic approach to RBFN centers initialization

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

  2. Analysis of the TaSe-II TSK-type fuzzy system for function approximation

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

  3. Improving clustering technique for functional approximation problem using fuzzy logic: ICFA algorithm

    Lecture Notes in Computer Science

  4. TaSe model for long term time series forecasting

    Lecture Notes in Computer Science

  5. TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

    Fuzzy Sets and Systems, Vol. 153, Núm. 3, pp. 403-427