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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(23)
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22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(2)
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A 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:scopusA Computer Vision Model to Identify the Incorrect Use of Face Masks for COVID-19 Awareness
ArticleAbstract: Face mask detection has become a great challenge in computer vision, demanding the coalition of techPalabras claves:Artificial Intelligence, Computer Vision, covid-19, deep learning, face mask recognition, image classification, object detectionAutores:Anthony Crespo, Diego Hernán Peluffo-Ordóñez, Fabricio Crespo, Manuel Eugenio Morocho-Cayamcela, Sierra-Martínez L.M.Fuentes:scopusComparative 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:scopus