Mostrando 10 resultados de: 56
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(23)
Communications in Computer and Information Science(6)
Advances in Intelligent Systems and Computing(4)
Applied Sciences (Switzerland)(3)
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(2)
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Ciencias de la computación(13)
Funcionamiento de bibliotecas y archivos(12)
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Fisiología humana(5)
Comparative analysis between embedded-spaces-based and Kernel-based approaches for interactive data representation
Conference ObjectAbstract: This work presents a comparative analysis between the linear combination of em-bedded spaces resultiPalabras claves:Artificial Intelligence, CMDS, Dimensionality reduction methods, Kernel, Kernel PCA, LE, LLEAutores:Carlos M. Ortega-Castillo, Cielo K. Basante-Villota, Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Salazar-Castro J.A.Fuentes:scopusComparison among physiological signals for biometric identification
Conference ObjectAbstract: The biometric is an open research field that requires analysis of new techniques to increase its accPalabras claves:biometric, Classifiers mixture, Multimodal system, physiological signals, Signal processingAutores:Alvarez-Uribe K.C., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.Fuentes: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:scopusAutomatic motion segmentation via a cumulative kernel representation and spectral clustering
Conference ObjectAbstract: Dynamic or time-varying data analysis is of great interest in emerging and challenging research on aPalabras claves:Kernel spectral clustering, Motion segmentation, Time-varying data, Variable rankingAutores:Ana C. Umaquinga-Criollo, Diego Hernán Peluffo-Ordóñez, Luis Suárez-Zambrano, O. T. Sánchez-Manosalvas, Omar R. Oña-Rocha, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.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:scopusAngle-based model for interactive dimensionality reduction and data visualization
Conference ObjectAbstract: In recent times, an undeniable fact is that the amount of data available has increased dramaticallyPalabras claves:data visualization, Dimensionality reduction, Kernel PCA, Pairwise similarityAutores:Carlos M. Ortega-Castillo, Cielo K. Basante-Villota, Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, MacArthur Ortega-Bustamante, Paul D. Rosero-Montalvo, Salazar-Castro J.A., Vega-Escobar L.S.Fuentes:scopusA 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 Chatterbot Based on Genetic Algorithm: Preliminary Results
Conference ObjectAbstract: Chatterbots are programs that simulate an intelligent conversation with people. They are commonly usPalabras claves:ChatBot, Evolutionary programming, Natural Language processingAutores:Cristian Orellana, Diego Hernán Peluffo-Ordóñez, Jeremy Yazán, Lorena Guachi-Guachi, Martín TobarFuentes: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:scopus