ARTÍCULOS EN REVISTAS JCR

•  M. Galar, A. Fernández, E. Barrenechea, F. Herrera, "DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems", Pattern Recognition, 48, 28-42, 2015.

• M. Elkano M., M. Galar, J. Sanz, J. Fernández, E. Barrenechea, F. Herrera,  H. Bustince, "Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies", IEEE Transactions on Fuzzy Systems, 23(5), 1562-1580, 2015.

• D. Peralta, M. Galar, I. Triguero, D. Paternain, S. Garcia, E. Barrenechea, J.M. Benitez, H. Bustince, F. Herrera, "A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation", Information Sciences , 315, 67-87, 2015.

• M. Galar, J. Derrac, D. Peralta, I.Triguero, D. Paternain, C. Lopez-Molina, S. García, J.M. Benítez, M. Pagola, E. Barrenechea, H. Bustince, F. Herrera, "A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models", Knowledge-Based Systems, 81, 76-97, 2015.

• M. Galar, J. Derrac, D. Peralta, I.Triguero, D. Paternain, C. Lopez-Molina, S. García, J.M. Benítez, M. Pagola, E. Barrenechea, H. Bustince, F. Herrera, "A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal", Knowledge-Based Systems, 315, 98-116, 2015.

• H. Bustince, J. Fernandez, H. Hagras, F. Herrera, M. Pagola, E. Barrenechea, Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship, IEEE Transactions on Fuzzy Systems, 23(5), 1876-1882, 2015.

• G.P. Silva, A. Frery, S. Sandri, H. Bustince, E. Barrenechea, C. Marco-Detchart, "Optical images-based edge detection in Synthetic Aperture Radar images", Knowledge-Based Systems, 87, 38-46, 2015.

• M. Galar, A. Fernandez, E.Barrenechea, F. Herrera, "Empowering difficult classes with a similarity-based aggregation in multi-class classification problems", Information Sciences, 264, 135-157, 2014.

• E. Barrenechea, J. Fernandez, M. Pagola, F. Chiclana, H. Bustince, “Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Application to decision making”, Knowledge-Based Systems, 58, 33-44, 2014.

• R. Orduna, A. Jurio, D. Paternain, H. Bustince, P. Melo-Pinto, E.  Barrenechea, “Segmentation of color images using a linguistic 2-tuples model”, Information Sciences, 258, 339-352, 2014.

• H. Bustince, E. Barrenechea, T. Calvo, S. James, G. Beliakov, “Consensus in multiexpert decision making problems using penalty functions defined over a Cartesian product of lattices”, Information Fusion, 17, 56-64, 2014.

• B. Bedregal, G. Pereira Dimuro, H. Bustince, E. Barrenechea, “New results on overlap and grouping functions”, Information Sciences, 249, 148-170, 2013.

• M. Galar, A. Fernández, E. Barrenechea, F. Herrera, “EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling”, Pattern Recognition, 46 (12), 3460-3471, 2013.

• M. Galar, A. Fernández, E. Barrenechea, H. Bustince, F. Herrera, “Dynamic classifier selection for one-vs-one strategy: Avoiding non-competent classifiers”, Pattern Recognition, 46, 3412-3424, 2013.

• E. Barrenechea, H. Bustince, M.J. Campión, E. Induráin, V. Knoblauch, “Topological interpretations of fuzzy subsets. A unified approach for fuzzy thresholding algorithms”, Knowledge-Based Systems, 54, 163-171, 2013.

• C. Lopez-Molina, B. De Baets, H. Bustince, J. Sanz, E. Barrenechea, “Multiscale edge detection based on Gaussian smoothing and edge tracking”, Knowledge-Based Systems, 44, 101-111, 2013.

• M. Pagola, C. Lopez-Molina, J. Fernandez, E. Barrenechea, H. Bustince, “Interval Type-2 fuzzy sets constructed from several membership functions: application to the fuzzy thresholding algorithm”, IEEE Transactions on Fuzzy Systems, 21(2), 230-244, 2013.

• P. Melo-Pinto, P. Couto, H. Bustince, E. Barrenechea, M Pagola, J.  Fernandez, “Image segmentation using Atanassov's intuitionistic fuzzy sets”, Expert Systems with Applications, 40(1), 15-26, 2013.

• D. Paternain, A. Jurio, E. Barrenechea, H. Bustince, B. Bedregal, E. Szmidt, “An alternative to fuzzy methods in decision-making problems”,  Expert Systems with Applications, 39(9), 7729-7735, 2012.

• M. Galar, A. Fernández, E. Barrenechea, H. Bustince, F. Herrera, “A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches”, IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews, 42(4), 463-484, 2012.

• E. Barrenechea, H. Bustince, B. De Baets, C. Lopez-Molina, “Construction of Interval-valued Fuzzy Relations with Application to the Generation of Fuzzy Edge Images”, IEEE Transactions on Fuzzy Systems, 19(5),        819-830, 2011.

• M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F.Herrera, “An Overview of Ensemble Methods for Binary Classifiers in Multi-class Problems: Experimental Study on one-vs-one and one-vs-all Schemes”, Pattern Recognition, 44, 1761-1776, 2011.

• H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, C. Guerra, P. Couto, P. Melo-Pinto, “Generalized Atanassov's Intuitionistic Fuzzy Index. Construction of Atanassov's fuzzy entropy from fuzzy implication operators”, International Journal of Uncertainty Fuzziness and Knowledge-based Systems, 19(1), 51-69, 2011.

• H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, J. Sanz, “Comment on: Image thresholding using type II fuzzy sets. Importance of this method”, Pattern Recognition, 43, 3188-3192, 2010.

• A. Fernandez, M. Calderon, E. Barrenechea, H. Bustince, F. Herrera, “Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations”, Fuzzy Sets and Systems, 161, 3064-3080, 2010.

• H. Bustince, E. Barrenechea, J. Fernandez, M. Pagola, J. Montero, C. Guerra, “Contrast of a fuzzy relation”, Information Sciences, 180, 13261344, 2010.

• E. Barrenechea, H. Bustince, M. Pagola, J. Fernandez, “Construction of interval-valued fuzzy entropy invariant by translations and scalings”, Soft Computing, 14,  945-952, 2010.

• H. Bustince, M. Pagola, E. Barrenechea, J. Fernandez, P. Melo-Pinto, P. Couto, H.R. Tizhoosh, J. Montero, ”Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images”, Fuzzy sets and systems, 161, 20-36, 2010.

• H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, “Interval-valued fuzzy sets constructed from matrices: Application to edge detection”, Fuzzy sets and systems, 160, 1819-1840, 2009.

• M. Pagola, R. Ortiz, I. Irigoyen, H. Bustince, E. Barrenechea, P. Aparicio Tejo, C. Lamsfus, B. Lasa, “New Method to Assess Barley Nitrog, Nutrition Status Based on Image Colour Analysis. Comparison with SPAD-502”, Computers and Electronics in Agriculture, 65, 213-218, 2009.

• H. Bustince, E. Barrenechea, M. Pagola, “Generation of Interval-Valued Fuzzy and Atanassov's Intuitionistic Fuzzy Connectives from Fuzzy Connectives and from K_alpha Operators: Laws for conjunctions and disjunctions, amplitude”, International Journal of Intelligent Systems, 23, 680-714, 2008.

• H. Bustince, E. Barrenechea, M. Pagola, “Relationship betwe, Restricted Dissimilarity Functions, Restricted Equivalence Functions and Normal En-Functions:Image Thresholding Invariant”, Pattern Recognition Letters, 29, 525-536,  2008.

• H. Bustince, J. Montero, E. Barrenechea, M. Pagola, “Semiautoduality in a Restricted Family of Aggregation Operators”, Fuzzy sets and systems, 158, 1360-1377, 2007.

• H. Bustince, E. Barrenechea, M. Pagola, “Image thresholding using restricted equivalence functions and maximizing the measures of similarity”, Fuzzy sets and systems, 158, 496-516, 2007.

• H. Bustince, E. Barrenechea, M. Pagola, “Construction of fuzzy indices from fuzzy DI-subsethood measures: application to the global comparison of images“, Information Sciences, 177, 906-929, 2007.

• H. Bustince, E. Barrenechea, M. Pagola, “Restricted equivalence functions”, Fuzzy sets and systems, 157, 2333-2346, 2006.

• H. Bustince, V. Mohedano, E. Barrenechea, M. Pagola, “Definition and Construction of Fuzzy DI-subsethood Measures”, Information Sciences, 176, 3190-3231, 2006.

• H. Bustince, E. Barrenechea,  M. Pagola, F.  Soria, “Weak fuzzy S-subsethood measures. Overlap index“, International journal of uncertainty, fuzziness and knowledge-based systems, 14, 537-560, 2006.

• H. Bustince, E. Barrenechea, V. Mohedano, “Intuitionistic Fuzzy Implication Operators. An Expression and Main Properties”, International journal of uncertainty, fuzziness and knowledge-based systems, 12, 387-406, 2004.

Información adicional sobre proyectos

Título del proyecto: TIN2011-14083-E Red temática española para el avance y la transferencia de la inteligencia computacional aplicada

Entidad financiadora: MICINN, Entidades participantes: UPNA

Título del proyecto:  Utilización de la lógica difusa en procesamiento de imágenes digitales

Entidad financiadora:  Gobierno de Navarra, Programa Jerónimo de Ayanz, Entidades participantes:  UPNA

Título del proyecto:  TIN2009-05756 - Eurofuse workshops 2009. preference modelling and decision analysis

Entidad financiadora:  MICINN, Entidades participantes:  UPNA

Título del proyecto:  TIN2007-65981 - Unificación, generación y aplicación de medidas de información en conjuntos intervalares difusos de tipo 2

Entidad financiadora:  MEC, Entidades participantes:  UPNA

Título del proyecto:  HP2006-0128 - Use of fuzzy logic in digital image segmentation models

Entidad financiadora:  MEC, Entidades participantes: UPNA, UNIVERSIDAD DE TRAS OS MONTES E ALTO DOURO 

Título del proyecto: Sistema de reconocimiento facial utilizando conjuntos difusos tipo2

Entidad financiadora: Gobierno de Navarra, Departamento de Industria y Tecnología, Comercio y Trabajo. Proyectos de I+D+i para la formación de tecnólogos, Entidades participantes: UPNA

Título del proyecto:  MTM2005-08982-C04-04 - Aplicación de los conjuntos intervalo-valorados fuzzy al tratamiento de imágenes de manchas en la piel para diagnosticar melanomas.

Entidad financiadora:  MEC, Entidades participantes:  UPNA

Título del contrato/proyecto:  Health Monitoring System for a Wind Turbine based Data Mining and Computational Intelligence: Phase PDR

Empresa/Administración financiadora: GAMESA INNOVATION AND TECHNOLOGY, S.L., Entidades participantes: UPNA, UGR

Título del contrato/proyecto:  Centro de Autentificación Biométrica

Empresa/Administración financiadora:  INCITA (INSTITUTO CIENTÍFICO DE INNOVACIÓN Y TECNOLOGÍAS APLICADAS DE NAVARRA SL.), Entidades participantes: UPNA, UGR

Título del contrato/proyecto: Formalización, validación y optimización de la metodología utilizada para el control de grupos económicos

Empresa/Administración financiadora:  CAN, Entidades participantes: UPNA

Título del contrato/proyecto: Técnicas de minería de datos y soft computing para la mejora de calidad de datos introducidos en scoring

Empresa/Administración financiadora:  CAN, Entidades participantes: UPNA, UGR

Título del contrato/proyecto:  Valoración de bienes inmuebles mediante técnicas basadas en inteligencia artificial 

Empresa/Administración financiadora:  TRACASA, Entidades participantes: UPNA

Título del contrato/proyecto:  Valoración de bienes inmuebles mediante técnicas basadas en inteligencia artificial 

Empresa/Administración financiadora:  TRACASA, Entidades participantes: UPNA