Listar DIAN-Artículos, capítulos... por autor "Hervás-Martínez, César"

Mostrando ítems 1-12 de 12

    • Borderline kernel based over-sampling 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Hervás-Martínez, César (2017-03-30)
      Nowadays, the imbalanced nature of some real-world data is receiving a lot of attention from the pattern recognition and machine learning communities in both theoretical and practical aspects, giving rise to di erent ...

    • Cooperative coevolution of artificial neural network ensembles for pattern classification 

      Ortiz-Boyer, Domingo; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2005)
      This paper presents a cooperative coevolutive approach for designing neural network ensembles. Cooperative coevolution is a recent paradigm in evolutionary computation that allows the effective modeling of cooperative ...

    • COVNET : A cooperative coevolutionary model for evolving artificial neural networks 

      Muñoz-Pérez, José; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2003)
      This paper presents COVNET, a new cooperative coevolutionary model for evolving artificial neural networks. This model is based on the idea of coevolving subnetworks. that must cooperate to form a solution for a specific ...

    • Exploitation of Pairwise Class Distances for Ordinal Classification 

      Sánchez-Monedero, J.; Gutiérrez, Pedro A.; Tino, Peter; Hervás-Martínez, César (2013-07-15)
      Ordinal classification refers to classification problems in which the classes have a natural order imposed on them because of the nature of the concept studied. Some ordinal classification approaches perform a projection ...

    • Hybridization of evolutionary algorithms and local search by means of a clustering method 

      Martínez-Estudillo, Francisco José; Hervás-Martínez, César; García-Pedrajas, Nicolás (IEEE, 2006)
      This paper presents a hybrid evolutionary algorithm (EA) to solve nonlinear-regression problems. Although EAs have proven their ability to explore large search spaces, they are comparatively inefficient in fine tuning the ...

    • Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients 

      Cruz-Ramírez, M.; Fernández, Juan Carlos; Fernández-Navarro, F.; Briceño Delgado, Francisco Javier; Mata García, Manuel de la; Hervás-Martínez, César (2017-02-17)
      In liver transplantation, matching donor and recipient is a problem that can be solved using machine learning techniques. In this paper we consider a liver transplant dataset obtained from eleven Spanish hospitals, ...

    • Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes 

      Fernández, J.C.; Gutiérrez, P.A.; Hervás-Martínez, César; Martínez, Francisco J. (2015-10-08)
      The main objective of this work is to automatically design neural network models with sigmoidal basis units for classification tasks, so that classifiers are obtained in the most balanced way possible in terms of CCR ...

    • Modelo de asignación donante-receptor español en transplantes hepáticos 

      Briceño Delgado, Francisco Javier; Mata García, Manuel de la; Cruz Ramírez, Manuel; Hervás-Martínez, César (Consejo Social de la Universidad de Córdoba, 2011)
      El reto que presentan los autores del proyecto se centra en encontrar un modelo español de asignación donante-receptor en trasplantes de hígado que sea válido a un número de pares donantes-receptores. El método que proponen ...

    • Ordinal and nominal classication of wind speed from synoptic pressure patterns 

      Gutiérrez, P.A.; Salcedo Sanz, S.; Hervás-Martínez, César; Carro-Calvo, L.; Sánchez-Monedero, J.; Prieto, L. (2017-01-18)
      Wind speed reconstruction is a challenging problem in areas (mainly wind farms) where there are not direct wind measures available. Di erent approaches have been applied to this reconstruction, such as measure-correlat ...

    • Ordinal regression methods: survey and experimental study 

      Gutiérrez, Pedro A.; Pérez-Ortiz, María; Sánchez-Monedero, J.; Fernández-Navarro, Francisco; Hervás-Martínez, César (2017-02-03)
      Abstract—Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical scale which shows a natural order between the labels. Many real-world applications ...

    • Projection based ensemble learning for ordinal regression 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Hervás-Martínez, César (2013-10-08)
      The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problems, which is based on computing ...

    • Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Torres-Sánchez, Jorge; Hervás-Martínez, César; López-Granados, Francisca; Peña, José Manuel (2017-03-30)
      This paper approaches the problem of weed mapping for precision agriculture, using imagery provided by Unmanned Aerial Vehicles (UAVs) from sun ower and maize crops. Precision agriculture referred to weed control is ...