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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
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Journal of Physics: Conference Series(1)
Lecture Notes in Electrical Engineering(1)
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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: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 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:scopusArtificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study
Conference ObjectAbstract: This paper shows a neural networks-based demand forecasting model designed for a small manufacturerPalabras claves:artificial neural networks, Long-term demand forecasting, Small businessAutores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Iván García-Santillán, Jorge A. Caraguay-Procel, Joselyn A. Chicaiza-Ipiales, Leandro L. Lorente-LeyvaFuentes:googlescopusArtificial Neural Networks for Urban Water Demand Forecasting: A Case Study
Conference ObjectAbstract: This paper presents an application of an artificial neural network model in forecasting urban waterPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Jairo F. Pavón-Valencia, Leandro L. Lorente-Leyva, Yakcleem Montero-SantosFuentes:scopusAlgorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Pbkp_redictive Models
Conference ObjectAbstract: This paper presents a comparative analysis of pbkp_redictive models applied to air quality estimatioPalabras claves:Air quality, contamination, forecasting, pbkp_redictive modelsAutores:Diego Hernán Peluffo-Ordóñez, Leandro L. Lorente-Leyva, Sanchez-Pozo N.N., Solé-Ribalta A., Torres D.M., Trilles-Oliver S.Fuentes:scopus