Mostrando 5 resultados de: 5
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Computers in Biology and Medicine(1)
Forecasting(1)
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(1)
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Ciencias de la computación(2)
Ciencias Naturales y Matemáticas(1)
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Ciencias de la computación(5)
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scopus(5)
Classification of hand movements from non-invasive brain signals using lattice neural networks with dendritic processing
Conference ObjectAbstract: EEG-based BCIs rely on classification methods to recognize the brain patterns that encode user’s intPalabras claves:Brain-Computer Interface, Electroencephalogram, Lattice Neural Network, Motor imageryAutores:Antelis J.M., Falcón-Morales L.E., Ojeda L., Roberto Vega, Sanchez-Ante G., Sossa H.Fuentes:scopusBlood vessel segmentation in retinal images using lattice neural networks
Conference ObjectAbstract: Blood vessel segmentation is the first step in the process of automated diagnosis of cardiovascularPalabras claves:Autores:Falcón-Morales L.E., Guevara E., Roberto Vega, Sanchez-Ante G., Sossa H.Fuentes:scopusIntegrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation
Conference ObjectAbstract: Delineation of thyroid nodule boundaries is necessary for cancer risk assessment and accurate categoPalabras claves:deep learning, medical diagnosis, Thyroid nodule detection, Thyroid nodule tracking, Ultrasound image segmentationAutores:Daulatabad R., Hareendranathan A.R., Jaremko J.L., Kapur J., Punithakumar K., Roberto VegaFuentes:scopusRetinal vessel extraction using Lattice Neural Networks with dendritic processing
ArticleAbstract: Retinal images can be used to detect and follow up several important chronic diseases. The classificPalabras claves:Blood vessel segmentation, Dendritic processing, Diabetic Retinopathy, machine vision, Neural networks, pattern recognitionAutores:Falcón-Morales L.E., Guevara E., Roberto Vega, Sanchez-Ante G., Sossa H.Fuentes:scopusSIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
ArticleAbstract: Accurate forecasts of the number of newly infected people during an epidemic are critical for makingPalabras claves:covid-19, interpretable machine learning, probabilistic graphical modelsAutores:Flores L., Greiner R., Roberto VegaFuentes:scopus