TAR3-ARFAI + Consolider MIPRCV + TAR4-TIASA Projects

PUBLICATIONS (2006-2010)

    2010

  1. F.J. Ferri, K. Diaz-Chito, W. Diaz-Villanueva. Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors, ICDM'10. (OEDM Workshop),pp.1159-1166, 2010.{http://dx.doi.org/10.1109/ICDMW.2010.50}

  2. K. Diaz-Chito, F.J. Ferri, W. Diaz-Villanueva. Image recognition through incremental discriminative common vectors, Advanced Concepts for Intelligent Vision Systems, ACIVS'10, Part II, J. Blanc-Talon et al. (eds), Lect. Not. Comp. Sci. Vol. 6475, pp. 304-311, 2010. {http://dx.doi.org/10.1007/978-3-642-17691-3_28}

  3. M. Arevalillo and F.J. Ferri. Interactive image retrieval using smoothed nearest neighbour estimates. SSSPR'10. Structural, Syntactic and Statistical Pattern Recognition. E.R. Hancock et al. (eds). Lect. Not in Comp Sci. Vol 6218, pp. 708-717, 2010. {http://dx.doi.org/10.1007/978-3-642-14980-1_70}{video:http://videolectures.net/ssspr2010_ferri_iir/}

  4. A. Pérez-Suay, F.J. Ferri, Algunas consideraciones sobre aprendizaje de distancias mediante maximización del margen, Actas del V Simposio de Teoría y Aplicaciones de Minería de Datos. TAMIDA'10 (CEDI). pp. 83-91, 2010.

  5. K. Diaz-Chito, F.J. Ferri, Empirical evaluation of class-updating incremental discriminative common vector based face recognition, Actas del II Workshop de Reconocimiento de Formas y Análisis de Imágenes. WRFAI'10 (CEDI). pp. 125-132, 2010.

  6. M. Arevalillo and F.J. Ferri and J. Domingo. A naive relevance feedback model for content-based image retrieval using multiple similarity measures. Pattern Recognition, Vol. 43, No. 3, pp.619-629, 2010.{http://dx.doi.org/10.1016/j.patcog.2009.08.010}

  7. S. Moreno, M. Arevalillo and W. Diaz. A Linear Cost Algorithm to Compute the Discrete Gabor Transform, IEEE Trans. on Signal Processing, Vol. 58, No. 5, pp. 2667-2674, 2010. {http://dx.doi.org/10.1109/TSP.2010.2043137}

  8. W. Diaz, F.J. Ferri, V. Cerverón. Learning improved feature rankings through decremental input pruning for support vector based drug activity prediction, IEA/AIE'10, Part II, N. Pedrajas et al. (eds), Lect. Not in Artif. Intell. Vol 6097, pp. 653-661, 2010. {http://dx.doi.org/10.1007/978-3-642-13025-0_67}

    2009

  1. V. Yepes, E. Pellicer, F.J. Ferri. Profit Forecasting Using Support Vector Regression for Consulting Engineering Firms, ISDA'09, IEEE Intl Conf. On Systems Design and Applications, Pisa, 2009. {http://dx.doi.org/10.1109/ISDA.2009.43}

  2. K. Diaz-Chito, F.J. Ferri and W. Diaz-Villanueva. Extracción de Características Mediante Vectores Comunes Discriminantes Extendidos con Kernels. Revista Iberoamericana de Inteligencia Artificial, Vol 13, No. 43, pp.1-15, 2009. {http://dx.doi.org/10.1441/ia.v13i43.1020} {http://erevista.aepia.org/index.php/ia/article/view/606/589}

  3. A. Perez-Suay, F.J. Ferri, J.V. Albert. A Random Extension for Discriminative Dimensionality Reduction and Metric Learning. IbPRIA'09. Lect. Not in Comp Sci. Vol 5524, pp. 370-377, 2009. {http://dx.doi.org/10.1007/978-3-642-02172-5_48}{dblp: http://dblp.uni-trier.de/rec/bibtex/conf/ibpria/Perez-SuayFA09}

  4. P. Moreno-Clari, M. Arevalillo-Herraez, V. Cerveron-Lleo. Data Analysis as a Tool for Optimizing Learning Management Systems. IEEE Int. Conf. On Advanced Learning Technologies, ICALT'09. pp.242-246, 2009. {http://dx.doi.org/10.1109/ICALT.2009.11}{dblp: http://dblp.uni-trier.de/rec/bibtex/conf/icalt/Moreno-ClariAC09}

  5. P. Moreno-Clari, M. Arevalillo-Herraez, V. Cerveron-Lleo. Metodología para la mejora continua de Sistemas de Gestión del Aprendizaje (LMS). IEEE Rev. Iberoamericana de Tecnol. Del Aprendizaje, Vol. 4, No. 4, pp.249-258, 2009. {http://webs.uvigo.es/cesei/RITA/200911/}{dblp: http://dblp.uni-trier.de/rec/bibtex/journals/ieee-rita/Moreno-ClariAC09}

  6. M. Arevalillo-Herráez and F.J. Ferri and S. Moreno-Picot. An interactive evolutionary approach for contents based image retrieval. IEEE Intl. Conf on Systems, Man and Cybernetics, SMC'09. pp.120-125, 2009. {http://dx.doi.org/10.1109/ICSMC.2009.5346135 }

  7. M. Arevalillo-Herraez and F.J. Ferri. Algoritmo evolutivo para la búsqueda de imágenes basada en el contenido. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'09, 2009.

    2008

  1. A. Perez-Suay and F.J. Ferri. Scaling up a metric learning algorithm for image recognition and representation. ISVC 09. Advances in Visual Computing. Lect. Not. in Comp. Sci. Vol. 5359, pp.592—601, 2008. {http://dx.doi.org/10.1007/978-3-540-89646-3_58}{dblp: http://dblp.uni-trier.de/rec/bibtex/conf/isvc/Perez-SuayF08 }

  2. K. Diaz-Chito, F.J. Ferri, W. Diaz-Villanueva. An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions. SSSPR 08. Structural, Syntactic and Statistical Pattern Recognicion. Lect. Not in Comp Sci. Vol 5342, pp. 977-985, 2008. {http://dx.doi.org/10.1007/978-3-540-89689-0_101}{dblp: http://dblp.uni-trier.de/rec/bibtex/conf/sspr/Diaz-ChitoFV08}

  3. M. Arevalillo and F.J. Ferri and J. Domingo. Learning Combined Similarity Measures from User Data for Image Retrieval. IEEE Intl. Conf. On Pattern Recognition, ICPR 2008, Tampa FL, 2008. {http://dx.doi.org/10.1109/ICPR.2008.4761068}{dblp: http://dblp.uni-trier.de/rec/bibtex/conf/icpr/Arevalillo-HerraezFD08 }

  4. M. Arevalillo and J. Domingo and F.J. Ferri. Combining similarity measures in content-based image retrieval. Pattern Recognition Letters, Vol. 29, No. 16, pp.2174-2181, 2008. {http://dx.doi.org/10.1016/j.patrec.2008.08.003}{dblp: http://dblp.uni-trier.de/rec/bibtex/journals/prl/Arevalillo-HerraezDF08 }

  5. F.J. Ferri and K. Díaz-Chito and W. Díaz-Villanueva. Using Subspace-based Learning Methods for Medical Drug Design and Characterization. IEEE Intl. Conf on Systems, Man and Cybernetics, SMC 2008. pp.2111-2115, 2008. {http://dx.doi.org/10.1109/ICSMC.2008.4811603}

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    2007

  6. M. Armengot and F.J. Ferri and W. Diaz-Villanueva. Experiments about the Generalization Ability of Common Vector based methods for Face Recognition. 7th Intl. Workshop on Pattern Recognition in Information Systems, PRIS 07, Madeira 2007. {dblp: http://dblp.uni-trier.de/rec/bibtex/conf/pris/ArmengotFV07}

  7. F.J. Ferri and W. Diaz-Villanueva and M.J. Castro. A comparative study using different topological representations in Pattern Recognition based Drug Activity Characterization. IEEE Intl. Conf on Systems, Man and Cybernetics, SMC 2007. pp.2011-2015, 2007. {http://dx.doi.org/10.1109/ICSMC.2007.4413980}{dblp: http://dblp.uni-trier.de/rec/bibtex/conf/smc/FerriVC07}

    2006

  1. F.J. Ferri and W. Diaz-Villanueva and M.J. Castro. Experiments on automatic drug activity characterization using support vector classification. CI 06, Computational Intelligence, pp.344-349, 2006. {dblp: http://dblp.uni-trier.de/rec/bibtex/conf/iastedCI/FerriVB06}

  2. J. Gutierrez, F. J. Ferri, J. Malo. Regularization operators for natural images based on nonlinear perception models. IEEE Transactions on Image Processing, Vol. 15, No. 1, pp.189-200, 2006. {http://dx.doi.org/10.1109/TIP.2005.860345}{dblp: http://dblp.uni-trier.de/rec/bibtex/journals/tip/GutierrezFM06}

  3. F. J. Ferri, J. S. Sánchez, F. Pla. Complexity reduction in efficient prototype-based classification. Pattern Recognition, Vol. 39, No. 2, pp.161-163, 2006. {http://dx.doi.org/10.1016/j.patcog.2005.06.002}{dblp: http://dblp.uni-trier.de/rec/bibtex/journals/pr/FerriSP06}