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Comparison 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: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: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 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 Forecasting Model to Pbkp_redict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios
Conference ObjectAbstract: Ecuador is worldwide considered as one of the main natural flower producers and exporters –being rosPalabras claves:Bayesian-Networks-based forecasting, Demand Forecast, Floriculture sector, Neural-Networks-based forecastingAutores:Alemany M.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusA novel color-based data visualization approach using a circular interaction model and dimensionality reduction
Conference ObjectAbstract: Dimensionality reduction (DR) methods are able to produce low-dimensional representations of an inpuPalabras claves:data visualization, Dimensionality reduction, Interactive Interface, Pairwise similarityAutores:Ana C. Umaquinga-Criollo, Castellanos-Dominguez G., Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Paul D. Rosero-Montalvo, Salazar-Castro J.A., Zenaida Castillo-MarreroFuentes:scopusDevelopments on Support Vector Machines for Multiple-Expert Learning
Conference ObjectAbstract: In supervised learning scenarios, some applications require solve a classification problem wherein lPalabras claves:Multiple expert learning, Supervised learning, SUPPORT VECTOR MACHINESAutores:Aalaila Y., Ana C. Umaquinga-Criollo, Diego Hernán Peluffo-Ordóñez, Moreno-García M.N., Tamayo-Quintero J.D.Fuentes:googlescopusDevelopments on solutions of the normalized-cut-clustering problem without eigenvectors
Conference ObjectAbstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.Palabras claves:Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic formsAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusData fusion from multiple stations for estimation of PM2.5 in specific geographical location
Conference ObjectAbstract: Nowadays, an important decrease in the quality of the air has been observed, due to the presence ofPalabras claves:ANFIS, PM2.5 estimation, Support Vector RegressionAutores:Carvajal J.G., Diego Hernán Peluffo-Ordóñez, Luna J.A.G., Miguel A. Becerra, Sánchez M.B., Tobon C.Fuentes:scopus