Listar DIAN-Artículos, capítulos... por autor "0cc6f1b7-4608-4e54-a9d0-2bfe3bfa9fa1"
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Addressing remitting behavior using an ordinal classification approach
Campoy-Muñoz, P.; Gutiérrez, Pedro A.; Hervás-Martínez, César (2013-10-08) -
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 ... -
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 ... -
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 ...