Listar Departamento de Informática y Análisis Numérico por autor "da241107-e98b-45da-8d5d-0afa30bfc002"
Mostrando ítems 1-20 de 21
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A guided data projection technique for classi cation of sovereign ratings: the case of European Union 27
Sánchez-Monedero, J.; Campoy-Muñoz, P.; Gutiérrez, P.A.; Hervás-Martínez, César (2017-01-20)Sovereign rating has had an increasing importance since the beginning of the nancial crisis. However, credit rating agencies opacity has been criticised by several authors highlighting the suitability of designing more ... -
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
Durán Rosal, Antonio Manuel; Gutiérrez-Peña, Pedro Antonio; Carmona Poyato, Ángel; Hervás-Martínez, César (Elsevier, 2019)This paper proposes new methods based on time series segmentation, including the adaptation of the particle swarm optimisation algorithm (PSO) to this problem, and more advanced PSO versions, such as barebones PSO (BBPSO) ... -
A Review of Classification Problems and Algorithms in Renewable Energy Applications
Pérez-Ortiz, María; Jiménez-Fernández, Silvia; Gutiérrez, Pedro A.; Alexandre, Enrique; Salcedo Sanz, S.; Hervás-Martínez, César (MDPI, 2016)Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in ... -
A two-stage algorithm in evolutionary product unit neural networks for classification
Tallón-Ballesteros, Antonio J.; Hervás-Martínez, César (Elsevier, 2011)This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter settings, evolving them for a small number of ... -
A weed monitoring system using UAV-imagery and the Hough transform
Pérez-Ortiz, María; Peña, J.M.; Gutiérrez, P.A.; Torres-Sánchez, J.; Hervás-Martínez, César; López-Granados, Francisca (2015)Usually, crops require the use of herbicides as a useful manner of controlling the quality and quantity of crop production. Although there are weed-free areas, the most common approach is to broadcast herbicides entirely ... -
Addressing remitting behavior using an ordinal classification approach
Campoy-Muñoz, P.; Gutiérrez, Pedro A.; Hervás-Martínez, César (2013-10-08) -
Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección
Gutiérrez, Pedro A.; Fernández, J.C.; Hervás-Martínez, César (2013-10-08)Este trabajo aborda la resolución de problemas de clasificación binaria utilizando una metodología híbrida que combina la regresión logística y modelos evolutivos de redes neuronales de unidades producto. Para estimar ... -
An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks
Tallón-Ballesteros, Antonio J.; Hervás-Martínez, César; Gutiérrez, Pedro A. (Springer, 2016)This chapter considers a recent algorithm to add broader diversity at the beginning of the evolutionary process and extends it to sigmoidal neural networks. A simultaneous evolution of architectures and weights is performed ... -
An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients
Barbero-Gómez, Javier; Gutiérrez, Pedro A.; Vargas Rojas, Víctor Manuel; Vallejo-Casas, Juan-Antonio; Hervás-Martínez, César (Elsevier, 2021)3D image scans are an assessment tool for neurological damage in Parkinson’s disease (PD) patients. This diagnosis process can be automatized to help medical staff through Decision Support Systems (DSSs), and Convolutional ... -
Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux
Gómez-Orellana, Antonio Manuel; Fernández, Juan Carlos; Dorado Moreno, Manuel; Gutiérrez, Pedro A.; Hervás-Martínez, César (MDPI, 2021)Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing ... -
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?
Calleja Lozano, Rafael; Hervás-Martínez, César; Briceño Delgado, Francisco Javier (MDPI, 2022)Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor–recipient matching have become necessary. Most of the currently proposed ... -
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
Morales-Martín, Alejandro; Mesas Carrascosa, Francisco Javier; Gutiérrez, Pedro Antonio; Pérez Porras, Fernando; Vargas, Víctor Manuel; Hervás-Martínez, César (MDPI, 2024)Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ... -
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
Nikolaou, Athanasia; Gutiérrez, Pedro A.; Durán, Antonio; Dicaire, Isabelle; Fernández-Navarro, Francisco; Hervás-Martínez, César (2017)This paper proposes a time series segmentation algorithm combining a clustering technique and a genetic algorithm to automatically find segments sharing common statistical characteristics in paleoclimate time series. The ... -
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
Barbero-Gómez, Javier; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (Springer, 2022)Automatic classification tasks on structured data have been revolutionized by Convolutional Neural Networks (CNNs), but the focus has been on binary and nominal classification tasks. Only recently, ordinal classification ... -
Évolutionary neural network classifiers to predict the classification of R&D performance in EU countries
Paz-Marín, Mónica de la; Campoy-Muñoz, P.; Hervás-Martínez, César (2013-10-08) -
Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA!
Romero Morales, C.; Ventura Soto, S.; Hervás-Martínez, César; Rider, Isaac; Martín-Palomo, Santiago (Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2006)En este artículo presentamos Test Editor, una herramienta autor para la construcción de test informatizados, tanto clásicos como adaptativos, a través del Web. Esta herramienta facilita el desarrollo y mantenimiento de ... -
Object-Based Image Classification of Summer Crops with Machine Learning Methods
Gutiérrez, Pedro A.; Hervás-Martínez, César; Six, Johan; Plant, Richard E.; López-Granados, Francisca; Peña, José Manuel (MDPI, 2014)The strategic management of agricultural lands involves crop field monitoring each year. Crop discrimination via remote sensing is a complex task, especially if different crops have a similar spectral response and cropping ... -
Regresión no lineal mediante la evolución de modelos Híbridos de Redes Neuronales
Martínez, Francisco J.; Gutiérrez, Pedro A.; Ruiz, Aarón; Hervás-Martínez, César (Comité Organizador de MAEB'05, 2005)El presente trabajo es una primera aproximación a la formación de modelos de redes neuronales con unidades ocultas de tipo híbrido (sigmoides, producto) que siendo aproximadores universales, puedan utilizarse como ... -
Semi-supervised Learning for Ordinal Kernel Discriminant Analysis
Pérez-Ortiz, María; Gutiérrez, P.A.; Carbonero-Ruz, M.; Hervás-Martínez, César (Elsevier, 2016)Ordinal classication considers those classication problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or di_cult to obtain in this type of problems because, in ... -
Unimodal regularisation based on beta distribution for deep ordinal regression
Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (Elsevier, 2022)Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on the ...