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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(21)
Communications in Computer and Information Science(7)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(5)
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(4)
Advances in Intelligent Systems and Computing(2)
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Ciencias de la computación(25)
Métodos informáticos especiales(25)
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Classification of subjects with parkinson's disease using finger tapping dataset
Conference ObjectAbstract: Parkinson's disease is the second most common neurodegenerative disorder and affects more than 7 milPalabras claves:classification, Finger Tapping, Machine learning, Parkinson's DiseaseAutores:Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Leandro L. Lorente-Leyva, Sanchez-Pozo N.N., Victor Asanza ArmijosFuentes:scopusComparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
ArticleAbstract: Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cPalabras claves:Artificial Intelligence, biomedical imaging, Cáncer, image segmentation, Machine learning, Mammography, Medical diagnostic imagingAutores:Anaya-Isaza A.J., Cabrera-Chavarro J.M., Diego Hernán Peluffo-Ordóñez, Lorena Guachi-Guachi, Mera-Jimenez L., Rios-Patino J.I.Fuentes:scopusComparison of kernel functions for the pbkp_rediction of the photovoltaic energy supply
ArticleAbstract: Recently, at the fields of climate change and energy demand have turned their attention to the studyPalabras claves:artificial neural networks, kernel function, Photovoltaic energySatellite images, SUPPORT VECTOR MACHINESAutores:Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Mancera-Valetts L., Mora G., Mora-Paz H., Pantoja A.D., Riascos-Salas J.A., Salazar-Castro J.A.Fuentes:scopusAutomatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques
ArticleAbstract: Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concePalabras claves:Clustering, Feature Extraction, feature selection, Q-α, Relevance analysis, Signal entropy, Sleep stagesAutores:Cirugeda-Roldán E., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Jiménez-Rodríguez A., Osorio-Forero A., Rodríguez-Sotelo J.L.Fuentes:scopusAn improved multi-class spectral clustering based on normalized cuts
Conference ObjectAbstract: In this work, we present an improved multi-class spectral clustering (MCSC) that represents an alterPalabras claves:Autores:Acosta-Medina C.D., Castellanos-Dominguez G., Diego Hernán Peluffo-OrdóñezFuentes:scopusAnalysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers
Conference ObjectAbstract: Brain-computer interface (BCI) is a system that provides communication between human beings and machPalabras claves:Brain-Computer Interface, ENVIRONMENTS, Mixture of classifiers, Signal processingAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Marín-Castrillón D.M., Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.Fuentes:scopusAnalytic study on the performance of multi-classification approaches in case-based reasoning systems: Medical data exploration
ArticleAbstract: This paper compares the main combinations of classifiers (Sequential, Parallel and Stacking) over twPalabras claves:Case based reasoning, Classifiers fusion, Dermatology disease, Heart diseaseAutores:Ana C. Umaquinga-Criollo, Bastidas D., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Piñeros C., Sierra-Martínez L.M.Fuentes:googlescopusA Brief Review on Instance Selection Based on Condensed Nearest Neighbors for Data Classification Tasks
Conference ObjectAbstract: The condensed nearest neighbor (CNN) classifier is one of the techniques used and known to perform rPalabras claves:classification, Nearest neighbor algorithms, PrototypesAutores:Ana C. Umaquinga-Criollo, Cabrera-Alvarez E.N., Diego Hernán Peluffo-Ordóñez, Fernández-Fernández Y., Leandro L. Lorente-LeyvaFuentes:scopusA Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry
Conference ObjectAbstract: This document presents a comparison of demand forecasting methods, with the aim of improving demandPalabras claves:Classical methods, Demand forecasting methods, Forecast error, Machine learning, TEXTILE INDUSTRYAutores:Alemany M.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusA multi-class extension for multi-labeler support vector machines
Conference ObjectAbstract: In recent years, there has been an increasing interest in the design of pattern recognition systemsPalabras claves:Autores:Arias-Londoño J.D., Castellanos-Domínguez G., Diego Hernán Peluffo-Ordóñez, Murillo-Rendón S.Fuentes:scopus