Listar Departamento de Informática y Análisis Numérico por autor "Hervás-Martínez, César"
Mostrando ítems 1-19 de 19
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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 ... -
Deep learning techniques for ordinal spatial data and applications in medical imaging
Barbero-Gómez, Javier (Universidad de Córdoba, UCOPress, 2024)This thesis navigates the intersection of deep learning and ordinal regression, aiming to address the challenges inherent in ordinal tasks, particularly within medical image diagnosis. The primary contributions unfold ... -
Diseño y análisis de redes neuronales convolucionales ordinales: aplicaciones
Vargas, Víctor Manuel (Universidad de Córdoba, UCOPress, 2023)En los últimos años, se están utilizando técnicas de aprendizaje profundo para mejorar diferentes procesos y resolver diferentes tareas del mundo real. El crecimiento exponencial del volumen de información generada por ... -
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, 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, 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 ... -
Nuevas fórmulas de emparejamiento donante y receptor en el trasplante de pulmón
Dueñas Jurado, José María (Universidad de Córdoba, UCOPress, 2022)1. INTRODUCCIÓN. Uno de los principales problemas del trasplante de pulmón es la escasez de órganos y la reducción de las tasas de supervivencia. En ausencia de un modelo estandarizado internacional para la asignación de ... -
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 Prediction using machine learning methodologies: Applications
Dorado Moreno, Manuel (Universidad de Córdoba, UCOPress, 2019)Artificial Intelligence is part of our everyday life, not only as consumers but also in most of the productive areas since companies can optimize most of their processes with all the different tools that it can provide. ... -
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 ... -
Time series data mining: preprocessing, analysis, segmentation and prediction. Applications
Durán Rosal, Antonio Manuel (Universidad de Córdoba, UCOPress, 2019)Currently, the amount of data which is produced for any information system is increasing exponentially. This motivates the development of automatic techniques to process and mine these data correctly. Specifically, in this ... -
Utilización de métodos de descomposición, algoritmos kernel y técnicas de remuestreo para clasificación ordinal
Pérez-Ortiz, María (Universidad de Córdoba, Servicio de Publicaciones, 2015)En la actualidad, la cantidad ingente de datos disponibles ha hecho, que el tratamiento y análisis de estos se haga intratable de manera manual. Esto ha propiciado que el objetivo de usar estos datos para la construcción ... -
Validación de las redes neuronales artificiales como metodología para la asignación donante-receptor en el trasplante hepático
Ayllón Terán, M. Dolores (Universidad de Córdoba, UCOPress, 2017)1. Introducción o motivación de la tesis. El trasplante hepático constituye la mejor opción terapéutica para un gran número de patologías hepáticas en fase terminal. Desafortunadamente, existe un disbalance entre el número ...