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Advances in Intelligent Systems and Computing(2)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Lecture Notes in Networks and Systems(2)
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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: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 New Data-Preprocessing-Related Taxonomy of Sensors for IoT Applications
ArticleAbstract: IoT devices play a fundamental role in the machine learning (ML) application pipeline, as they collePalabras claves:computational intelligence, data analytics, data pre-processing, internet of things, Machine learning, SensorAutores:Diego Hernán Peluffo-Ordóñez, Lopez-Batista V.F., Paul D. Rosero-MontalvoFuentes:scopusA data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
OtherAbstract: In this article, we introduce a data set concerning electric-power consumption-related features regiPalabras claves:Electric power consumption, forecasting, Machine learning, smart Grid, Socio-demographic dataAutores:Anaya-Isaza A.J., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Jorge Parraga-Alava, Moncayo-Nacaza J.D., Paul D. Rosero-MontalvoFuentes:googlescopusArtificial and natural intelligence integration
Conference ObjectAbstract: The large amount of data generated by different activities -academic,scientific, business and industPalabras claves:Data Mining, Machine learning, VisualizationAutores:Alvarado-PÉrez J.C., Diego Hernán Peluffo-OrdóñezFuentes:scopusAddressing the data acquisition paradigm in the early detection of pediatric foot deformities
ArticleAbstract: The analysis of plantar pressure through podometry has allowed analyzing and detecting different typPalabras claves:CHILDREN, Data Analysis, Embedded Systems, Machine learning, Plantar pressureAutores:Diego Hernán Peluffo-Ordóñez, Fuentes-Hernández E.A., Manuel Eugenio Morocho-Cayamcela, Paul D. Rosero-Montalvo, Sierra-Martínez L.M.Fuentes:scopusEvaluation of characterization techniques for classification of seismic-volcanic signals of the nevado del ruiz
ArticleAbstract: Currently, researches have been carried out on automatic classification of seismic-volcanic events-mPalabras claves:Cepstral, characterization, classification, Machine learning, Seismic-volcanicAutores:Bonilla J.L., Bravo Y.E., Cabrera P.C., Diego Hernán Peluffo-Ordóñez, Narváez E.R.Fuentes:scopusParkinson’s Disease Diagnosis Through Electroencephalographic Signal Processing and Sub-optimal Feature Extraction
Conference ObjectAbstract: Parkinson’s disease is the second most common neurological disorder after Alzheimer. Several limitatPalabras claves:EEG, Machine learning, Medical informatics, Parkinson’s Disease, Signal processing, Waveform shapeAutores:Diego Hernán Peluffo-Ordóñez, Manuel Eugenio Morocho-Cayamcela, Pozo-Ruiz S., Torres D.M.Fuentes:scopusLow Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results
Conference ObjectAbstract: Nowadays, there exist high interest in the brain-computer interface (BCI) systems, and there are mulPalabras claves:Electroencephalographic signal, Machine learning, Semantic category, Semantic retrieval, Signal processingAutores:Botero-Henao O.I., Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Londoño-Delgado E., Marín-Castrillón D.M., Miguel A. BecerraFuentes:scopus