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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
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scopus(7)
Comparison of kernel functions for the pbkp_rediction of the photovoltaic energy supply
ArticleAbstract: Recently, at the fields of climate change and energy demand have turned their attention to the studyPalabras claves:artificial neural networks, kernel function, Photovoltaic energySatellite images, SUPPORT VECTOR MACHINESAutores:Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Mancera-Valetts L., Mora G., Mora-Paz H., Pantoja A.D., Riascos-Salas J.A., Salazar-Castro J.A.Fuentes:scopusGeneralized Low-Computational Cost Laplacian Eigenmaps
Conference ObjectAbstract: Dimensionality reduction (DR) is a methodology used in many fields linked to data processing, and maPalabras claves:Dimensionality reduction, Generalized methodology, Kernel approximations, Low-computational cost, multiple kernel learning, Spectral methodsAutores:Basante C., Castellanos-Dominguez G., Cruz-Cruz L.D., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Ortega C., Peña D.F., Salazar-Castro J.A., Xiomara P. Blanco-ValenciaFuentes:scopusExploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results
Conference ObjectAbstract: Today, human-computer interfaces are increasingly more often used and become necessary for human daiPalabras claves:classification, EMG signals, Movements selection, WaveletAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.Fuentes:scopusFeature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals
Conference ObjectAbstract: The emotions identification is a very complex task due to depending on multiple variables individualPalabras claves:Emotion recognition, Improved complementary ensemble empirical mode decomposition, Multimodal, physiological signals, Signal processingAutores:A. E. Castro-Ospina, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Gomez-Lara J.F., Javier E. Revelo-Fuelagán, Miguel A. Becerra, Ordóñez-Bolaños O.A., Rodríguez J.L.Fuentes:scopusEnhanced convolutional-neural-network architecture for crop classification
ArticleAbstract: Automatic crop identification and monitoring is a key element in enhancing food production processesPalabras claves:Convolutional neural network (CNN), Crop classification, Post-processing, satellite imagesAutores:Diego Hernán Peluffo-Ordóñez, Gómez-Mendoza J.B., Javier E. Revelo-Fuelagán, Lorena Guachi-Guachi, Moreno-Revelo M.Y.Fuentes:scopusMovement identification in emg signals using machine learning: A comparative study
Conference ObjectAbstract: The analysis of electromyographic (EMG) signals enables the development of important technologies foPalabras claves:ANN, EMG signals, Feature Extraction, Knn, ParzenAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.Fuentes:scopusMultiple kernel learning for spectral dimensionality reduction
Conference ObjectAbstract: This work introduces a multiple kernel learning (MKL) approach for selecting and combining differentPalabras claves:Dimensionality reduction, Generalized kernel, Kernel PCA, multiple kernel learningAutores:A. E. Castro-Ospina, Alvarado-PÉrez J.C., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-FuelagánFuentes:scopus