Martínez Estudillo, Francisco José
Imagen
Category: Full Professor Area of Knowledge: Applied Mathematics Department: Quantitative methods Research Group: Métodos de Investigación Cuantitativa y aplicaciones (MICA)
ACADEMIC BACKGROUND
    • Doctor en Ciencias Matemáticas, por Geometría y Topología, 1991.
    • Licenciado en Ciencias Matemáticas Universidad de Granada
TEACHING EXPERIENCE

The teacher has taught the following subjects in recent years:

    • Mathematics Applied to Business Management
    • Mathematics II
PROFESSIONAL EXPERIENCE
  • Gestión Académica: Jefe de Estudios de la Facultad de Ciencias Económicas y Empresariales (ETEA) desde 1995 a 2002 y desde 2008 a 2012. Vicerrector de Ordenación Académica de la Universidad Loyola desde su creación en 2012 hasta octubre de 2023.
RESEARCH ACTIVITY
Publications
Articles
  • Financial Soundness Prediction Using a Multi-classification Model: Evidence from Current Financial Crisis in OECD Banks
    GUERRERO ARIAS, ISMAEL, LÓPEZ MARTÍN, MARÍA DEL CARMEN, MONTERO ROMERO, Mª TERESA, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS , 2018, Comput. Econ.
    10.1007/s10614-017-9676-6
  • Simultaneous optimisation of clustering quality and approximation error for time series segmentation
    DURAN ROSAL, ANTONIO MANUEL, Antonio Gutierrez, Pedro , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Hervas-Martinez, Cesar , 2018, Inf. Sci.
    10.1016/j.ins.2018.02.041
  • A two dimensional accuracy-based measure for classification performance
    CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, BECERRA ALONSO, DAVID, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS , 2017, Inf. Sci.
    10.1016/j.ins.2016.12.005
  • Stochastic sensitivity analysis using extreme learning machine
    BECERRA ALONSO, DAVID, CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2014, Adapt. Learn. Optim.
    10.1007/978-3-319-04741-6_1
  • Extreme Learning Machine to Analyze the Level of Default in Spanish Deposit Institutions
    MONTERO ROMERO, Mª TERESA, LÓPEZ MARTÍN, MARÍA DEL CARMEN, BECERRA ALONSO, DAVID, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2012, Rev. Metodos Cuantitativos Econ. Empresa
  • A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems
    Gutiérrez P.A. , Hervás-Martínez C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, CARBONERO RUZ, MARIANO , 2012, Inf. Sci.
    10.1016/j.ins.2012.02.012
  • Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks
    Antonio Gutierrez, Pedro , Hervas-Martinez, Cesar , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2011, IEEE Trans. Neural Netw.
    10.1109/TNN.2010.2093537
  • Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology
    Fernández J.C. , Hervás C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Gutiérrez P.A. , 2011, Appl. Soft Comput.
    10.1016/j.asoc.2009.12.013
  • Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks
    Fernández Caballero J.C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Hervas C. , Gutierrez P.A. , 2010, IEEE Trans. Neural Netw.
    10.1109/TNN.2010.2041468
  • Evolutionary product-unit neural networks classifiers
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Hervás-Martínez C. , Gutiérrez P.A. , MARTÍNEZ ESTUDILLO, ALFONSO CARLOS , 2008, Neurocomputing
    10.1016/j.neucom.2007.11.019
  • Multilogistic regression by means of evolutionary product-unit neural networks
    Hervás-Martínez C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, CARBONERO RUZ, MARIANO , 2008, Neural Netw.
    10.1016/j.neunet.2007.12.052
  • Modelo no lineal basado en redes neuronales de unidades producto para clasificación. Una aplicación a la determinación del riesgo en tarjetas de crédito
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Hervás-Martínez C. , TORRES JIMÉNEZ, MERCEDES, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS , 2007, Rev. Metodos Cuantitativos Econ. Empresa
  • Logistic regression using covariates obtained by product-unit neural network models
    Hervás-Martínez C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2007, Pattern Recogn.
    10.1016/j.patcog.2006.06.003
  • Evolutionary product unit based neural networks for regression
    MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Hervas-Martinez, Cesar , Garcia-Pedrajas, Nicolas , 2006, Neural Netw.
    10.1016/j.neunet.2005.11.001
  • Hybridization of evolutionary algorithms and local search by means of a clustering method
    MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, Hervás-Martínez C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, García-Pedrajas N. , 2006, IEEE Trans Syst Man Cybern Part B Cybern
    10.1109/TSMCB.2005.860138
  • Improving microbial growth prediction by product unit neural networks
    Hervás-Martínez C. , García-Gimeno R.M. , MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Zurera-Cosano G. , 2006, J. Food. Sci.
    10.1111/j.1365-2621.2006.tb08904.x
  • Spacelike submanifolds with parallel mean curvature in pseudo-riemannian space forms
    Alias, L.J. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Romero, A. , 1997, Tskuba Journal of Mathematics,
  • On the Gaussian curvature of maximal surfaces in n-dimensional generalized Robertson-Walker spacetimes
    Alias, LJ , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Romero, A , 1996, Classical Quantum Gravity
    10.1088/0264-9381/13/12/011
  • ON THE GAUSS CURVATURE OF MAXIMAL SURFACES IN THE 3-DIMENSIONAL LORENTZ-MINKOWSKI SPACE
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, ROMERO, A , 1994, COMMENT MATH HELV
    10.1007/BF02564470
  • GENERALIZED MAXIMAL SURFACES IN LORENTZ-MINKOWSKI SPACE L3
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, ROMERO, A , 1992, Math. Proc. Camb. Philos. Soc.
    10.1017/S0305004100075587
  • GENERALIZED MAXIMAL SURFACES IN THE LORENTZ-MINKOWSKI SPACE
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, ROMERO SARABIA, ALFONSO , 1992, Math. Proc. Camb. Philos. Soc.
  • ON MAXIMAL SURFACES IN THE N-DIMENSIONAL LORENTZ-MINKOWSKI SPACE
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, ROMERO, A , 1991, Geom Dedicata
    10.1007/BF00181216
Books
  • MODELOS DE REGRESIÓN BASADOS EN REDES NEURONALES DE UNIDADES PRODUCTO DISEÑADAS Y ENTRENADAS MEDIANTE ALGORITMOS DE OPTIMIZACIÓN HÍBRIDA. APLICACIONES [RECURSO ELECTRÓNICO]: TESIS DOCTORAL
    MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, HERVAS MARTINEZ, CESAR , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2005, UNIVERSIDAD DE GRANADA
  • INTRODUCCIÓN A LAS MATEMÁTICAS PARA LA ECONOMÍA
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2005, Desclée De Brouwer
  • SUPERFICIES MAXIMALES EN EL ESPACIO DE LORENTZ-MINKOWSKI
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 1992, PUBLICACIONES ETEA
Book Chapters
  • Design of artificial neural networks using a memetic pareto evolutionary algorithm using as objectives entropy versus variation coefficient
    Fernández J.C. , Hervás C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Cruz M. , 2009,
    10.1109/ISDA.2009.153
  • MULTILOGISTIC REGRESSION BY PRODUCT UNITS
    Gutiérrez Peña, Pedro Antonio , HERVAS MARTINEZ, CESAR , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, CARBONERO RUZ, MARIANO , 2009,
  • Multilogistic Regression using Initial and Radial Basis Function covariates
    Gutiérrez P.A. , Hervás-Martinez C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Fernández J.C. , 2009,
    10.1109/IJCNN.2009.5178694
  • MEMETIC PARETO EVOLUTIONARY ARTIFICIAL NEURAL NETWORKS FOR THE DETERMINATION OF GROWTH LIMITS OF LISTERIA MONOCYTOGENES
    Gutiérrez Peña, Pedro Antonio , HERVAS MARTINEZ, CESAR , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2008,
  • Memetic Pareto Evolutionary artificial neural networks for the determination of growth limits of listeria monocytogenes
    Fernández J.C. , Gutiérrez P.A. , Hervás C. , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2008,
    10.1109/HIS.2008.13
  • Evolutionary learning by a sensitivity-accuracy approach for multi-class problems
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Gutiérrez P.A. , Hervás C. , Fernández J.C. , 2008,
    10.1109/CEC.2008.4631003
  • EVOLUTIONARY LEARNING BY A SENSITIVITY-ACCURACY APPROACH FOR MULTI-CLASS PROBLEMS
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Gutiérrez Peña, Pedro Antonio , HERVAS MARTINEZ, CESAR , 2008,
  • FEATURE SELECTION FOR HYBRID NEURO-LOGISTIC REGRESSION APPLIED TO CLASSIFICATION OF REMOTE SENSED DATA
    MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2008,
  • MODELADO DE SISTEMAS MEDIANTE MODELOS HIBRIDOS DE REDES NEURONALES Y COMPUTACIÓN EVOLUTIVA
    MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, HERVAS MARTINEZ, CESAR , GARCIA PEDRAJAS, NICOLAS , 2005,
  • MODELADO DE SISTEMAS MEDIANTE MODELOS HÍBRIDOS DE FUNCIONES DE BASE Y COMPUTACIÓN EVOLUTIVA
    HERVAS MARTINEZ, CESAR , VENTURA SOTO, SEBASTIAN EMILIO , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, CASTILLO GOMARIZ, RAFAEL DEL , ORTIZ BOYER, DOMINGO , 2004,
  • ALGORITMO EVOLUTIVO PARA EL RECONOCIMIENTO DE FUNCIONES DE BASE POTENCIAL
    MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, HERVAS MARTINEZ, CESAR , MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Muñoz-Perez, José , 2004,
  • MODELADO DE SISTEMAS DE CRECIMIENTO MICROBIANO MEDIANTE REDES DE REGRESIÓN EVOLUTIVAS
    MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, HERVAS MARTINEZ, CESAR , GARCIA PEDRAJAS, NICOLAS , 2003,
Congresses
  • Time series representation by a novel hybrid segmentation algorithm
    Ponencia del Congreso - 11th International Conference on Hybrid Artificial Intelligence Systems
    2016
  • Time Series Representation by a Novel Hybrid Segmentation Algorithm
    Proceedings Paper - 11th International Conference on Hybrid Artificial Intelligence Systems (HAIS)
    2016
  • Evolutionary extreme learning machine for ordinal regression
    Ponencia del Congreso - Comité Científico en el 19th International Conference on Neural Information Processing (ICONIP2012)
    2012
  • Evolutionary Extreme Learning Machine for Ordinal Regression
    Proceedings Paper - 19th International Conference on Neural Information Processing, ICONIP 2012
    2012
  • Numerical variable reconstruction from ordinal categories based on probability distributions
    Ponencia del Congreso - 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011)
    2011
  • Numerical variable reconstruction from ordinal categories based on probability distributions
    Conference Paper - 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11
    2011
  • A hybrid evolutionary approach to obtain better quality classifiers
    Conference Paper - 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
    2011
  • Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification
    Ponencia del Congreso - Hybrid Artificial Intelligence Systems (HAIS) 2010
    2010
  • Evolutionary learning using a sensitivity-accuracy approach for classification
    Conference Paper - 5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
    2010
  • Design of Artificial Neural Networks using a Memetic Pareto Evolutionary Algorithm using as objectives Entropy versus Variation Coefficient
    Ponencia del Congreso - ISDA'09
    2009
  • Multilogistic Regression Using Initial And Radial Basis Function Covariates
    Ponencia del Congreso - IEEE International Joint Conference On Neural Networks (IJCNN2009)
    2009
  • Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity
    Ponencia del Congreso - HAIS 2009
    2009
  • MultiLogistic Regression using Initial and Radial Basis Function covariates
    Proceedings Paper - International Joint Conference on Neural Networks
    2009
  • Memetic pareto differential evolution for designing artificial neural networks in multiclassification problems using cross-entropy versus sensitivity
    Conference Paper - 4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009
    2009
  • Memetic Pareto Evolutionary Artificial Neural Networks For The Determination Of Growth Limits Of Listeria Monocytogenes
    Ponencia del Congreso - 8th International Conference on Hybrid Intelligent Systems (HIS2008)
    2008
  • Evolutionary Learning By A Sensitivity-Accuracy Approach For Multi-Class Problems
    Ponencia del Congreso - WCCI2008
    2008
  • Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification
    Ponencia del Congreso - 9th International Work-Conference on Artificial Neural Networks (IWANN2007)
    2007
  • Clasificación mediante la Evolución de Modelos Híbridos de Redes Neuronales
    Ponencia del Congreso - V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2007)
    2007
  • Aprendizaje mediante la hibridación de técnicas heurísticas y estadísticas de optimización en regresión logística binaria
    Ponencia del Congreso - V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2007)
    2007
  • Hybrid evolutionary algorithm with product-unit neural networks for classification
    Conference Paper - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007
    2007
  • VALIDACIÓN CRUZADA EN MODELOS DE REDES NEURONALES PARA LA ESTIMACIÓN DEL MARGEN BRUTO DE UNA EXPLOTACIÓN AGRARIA
    Ponencia del Congreso - CONGRESO ESPAÑOL SOBRE METAHEURÍSTICAS, ALGORITMOS EVOLUTIVOS Y BIOINSPIRADOS: MAEB 2007 (5.2007.TENERIFE, ESPAÑA)
    2007
  • Evolutionary combining of basis function neural networks for classification
    Conference Paper - 2nd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007
    2007
  • Evolutionary Product-Unit Neural Networks For Classification
    Ponencia del Congreso - 7th international conference on Intelligent Data Engineering and Automated Learning (IDEAL2006)
    2006
  • Classification By Means Of Evolutionary Product-Unit Neural Networks
    Ponencia del Congreso - 2006 IEEE International Joint Conference on Neural Networks (IJCNN2006), World Conference on Computational Intelligence (WCCI2006)
    2006
  • Evolutionary product-unit neural networks for classification
    Conference Paper - 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
    2006
  • Classification by means of evolutionary product-unit neural networks
    Proceedings Paper - IEEE International Joint Conference on Neural Network
    2006
  • Classification by means of evolutionary product-unit neural networks
    Conference Paper - International Joint Conference on Neural Networks 2006, IJCNN '06
    2006
  • Regresión No Lineal Mediante La Evolución De Modelos Híbridos De Redes Neuronales
    Ponencia del Congreso - IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (Congreso Español De Informática, CEDI)
    2005
  • ALGORITMOS MEMÉTICOS PARA MODELAR SEÑALES ORIGINADAS POR LA PERTURBACIÓN DE SISTEMAS OSCILANTES UTILIZANDO MODELOS DE REDES DE UNIDADES PRODUCTO
    Ponencia del Congreso - CONGRESO ESPAÑOL DE INFORMATICA. I SIMPOSIO DE INTELIGENCIA COMPUTACIONAL (1.2005.GRANADA, ESPAÑA)
    2005
  • MEMETIC ALGORITHMS TO PRODUCT-UNIT NEURAL NETWORKS FOR REGRESSION
    Ponencia del Congreso - IWANN 2005: INTERNATIONAL WORK-CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (8.2005.BARCELONA, ESPAÑA)
    2005
  • Memetic algorithms to product-unit neural networks for regression
    Conference Paper - 8th International Workshop on Artificial Neural Networks, IWANN 2005: Computational Intelligence and Bioinspired Systems
    2005
  • MODELOS DE REGRESIÓN BASADOS EN REDES NEURONALES DE UNIDADES PRODUCTO DISEÑADAS Y ENTRENADAS MEDIANTE ALGORITMOS DE OPTIMIZACIÓN HÍBRIDA: APLICACIONES
    Ponencia del Congreso - I SIMPOSIO DE COMPUTACIÓN Y SISTEMAS INTELIGENTES DE LA RED ISTANET (1) (1.2004.MÁLAGA)
    2004
  • ALGORITMO EVOLUTIVO PARA EL RECONOCIMIENTO DE FUNCIONES DE BASE POTENCIAL
    Ponencia del Congreso - CONGRESO ESPAÑOL DE MATEHEURÍSTICAS, ALGORITMOS EVOLUTIVOS Y BIOINSPIRADOS (3.2004.CÓRDOBA, ESPAÑA)
    2004
  • MODELADO DE SISTEMAS MEDIANTE MODELOS HÍBRIDOS DE FUNCIONES DE BASE Y COMPUTACIÓN EVOLUTIVA
    Ponencia del Congreso - INTERNATIONAL CONFERENCE OF OPERATIONS RESEARCH. 5TH WORKSHOP ON OPERATIONS RESEARCH: APPLICATIONS TO THE ECONOMY (6) (6.2003.LA HABANA. CUBA)
    2003
  • MODELADO DE SISTEMAS MEDIANTE MODELOS HÍBRIDOS DE REDES NEURONALES Y COMPUTACIÓN EVOLUTIVA
    Ponencia del Congreso - IBERAMIA (8.2002.SEVILLA)
    2002
Projects
  • TSO-DSO-Consumer INTERFACE aRchitecture to provide innovative grid services for an efficient power system
    EQUIPO INVESTIGADOR, 2019 - 2022
    COMISIÓN EUROPEA
  • An Integrated Platform for Incresed FLEXIbility in smart TRANSmission grids with STORage Entities and large penetration of Renewable Energy Sources
    EQUIPO INVESTIGADOR, 2017 - 2021
    COMISIÓN EUROPEA
  • COOPERACION Y NEGOCIACION ENTRE AGENTES PARA LA ESTIMACION DISTRIBUIDA EN SISTEMAS CIBERFISICOS
    INVESTIGADOR, 2016 - 2020
    AGENCIA ESTATAL DE INVESTIGACION