Mostrando 10 resultados de: 37
Filtros aplicados
Publisher
Advances in Intelligent Systems and Computing(4)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(3)
IFMBE Proceedings(3)
Communications in Computer and Information Science(2)
Área temáticas
Métodos informáticos especiales(23)
Ciencias de la computación(16)
Física aplicada(10)
Funcionamiento de bibliotecas y archivos(5)
Enfermedades(3)
Área de conocimiento
Ciencias de la computación(27)
Aprendizaje automático(16)
Inteligencia artificial(5)
Red neuronal artificial(4)
Robótica(4)
Origen
scopus(37)
Classification of cattle coat color based on genotype using pattern recognition methods
Conference ObjectAbstract: Several current research projects are focused on the creation of haplotype maps to identify and descPalabras claves:Coat Color, Genotype, pattern recognition, Single nucleotide polymorphismAutores:Ballarin V.L., Brun M., Comas D., Corva P.M., Marco E. Benalcázar, Meschino G., Pagnuco I.Fuentes:googlescopusAutomatic design of aperture filters using neural networks applied to ocular image segmentation
Conference ObjectAbstract: Aperture filters are image operators which combine mathematical morphology and pattern recognition tPalabras claves:Aperture filters, Ensemble of Classifiers, IMAGE PROCESSING, mathematical morphology, Neural networks, pattern recognitionAutores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusAutomatic design of binary W-operators using artificial feed-forward neural networks based on the weighted mean square error cost function
Conference ObjectAbstract: One of the main issues concerning automatic design of W-operators is the one of generalization. ConsPalabras claves:Artificial Neural Network, Nonlinear regression, pattern recognition, pyramidal multiresolution, W-operators, weighted mean square errorAutores:Ballarin V.L., Brun M., Marco E. Benalcázar, Meschino G., Passoni I., Pra L.Fuentes:googlescopusAutomatic design of window operators for the segmentation of the prostate gland in magnetic resonance images
Conference ObjectAbstract: W-operators are nonlinear image operators that are translation invariant and locally defined insidePalabras claves:Feed-forward neural network, magnetic resonance, Prostate gland, segmentation, W-operatorAutores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusAutomatic segmentation of exudates in ocular images using ensembles of aperture filters and logistic regression
Conference ObjectAbstract: Hard and soft exudates are the main signs of diabetic macular edema (DME). The segmentation of bothPalabras claves:Autores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusBayes clustering operators for known random labeled point processes
Conference ObjectAbstract: There is a widespread belief that clustering is inherently subjective. To quote A. K. Jain, 'As a taPalabras claves:Autores:Brun M., Dalton L.A., Dougherty E.R., Marco E. BenalcázarFuentes:googlescopusAn interactive system to improve cognitive abilities using electromyographic signals
Conference ObjectAbstract: This article presents a system for improving people's cognitive abilities using electromyography (EMPalabras claves:Hand-Gesture Recognition Mode, matlab, Serious Game, Support Vector Machine, Unity 3DAutores:Ángel Leonardo Valdivieso Caraguay, Freddy Benalcazar Palacios, Jaime R. Guilcapi, Lorena Isabel Barona López, Marco E. Benalcázar, Rubén Nogales, Xavier AguasFuentes:googlescopusAnalytic representation of bayes labeling and bayes clustering operators for random labeled point processes
ArticleAbstract: Clustering algorithms typically group points based on some similarity criterion, but without referenPalabras claves:Bayes classification, Bayesian estimation, Clustering, pattern recognition, small samplesAutores:Brun M., Dalton L.A., Dougherty E.R., Marco E. BenalcázarFuentes:googlescopus2D semantic segmentation of the prostate gland in magnetic resonance images using convolutional neural networks
Conference ObjectAbstract: Convolutional Neural Networks is one of the most commonly used methods for automatic prostate segmenPalabras claves:Central Gland, convolutional neural networks, Encoder-Classifier, Encoder-Decoder, MRIs, NCI-ISBI 2013, Peripheral Zone, Prostate Segmentation, U-net, VGG16Autores:Marco E. Benalcázar, Silvia P. VacacelaFuentes:googlescopusA Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach
Conference ObjectAbstract: Hand gesture recognition (HGR) based on electromyography (EMG) has been a research topic of great inPalabras claves:Electromyography, EMG, Experience replay, Hand gesture recognition, Q-Learning, reinforcement learningAutores:Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. Benalcázar, Patricio J. Cruz, Patricio Javier Cruz Davalos, Robin AlvarezFuentes:googlescopus