Mostrando 10 resultados de: 37
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(8)
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS(2)
Applied Sciences (Switzerland)(2)
IEEE International Conference on Fuzzy Systems(2)
23rd International Conference on Electronics, Communications and Computing, CONIELECOMP 2013(1)
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Métodos informáticos especiales(15)
Ciencias de la computación(11)
Física aplicada(9)
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Computing the Concept Lattice using dendritical neural networks
Conference ObjectAbstract: Formal Concept Analysis (FCA) is a new and rich emerging discipline, and it provides efficient technPalabras claves:Dendrites, Formal concept analysis, Lattice generation, Maximal rectangles, Neural networksAutores:Andrés Mendez-Vazquez, Caro-Contreras D.E.Fuentes:scopusAnalysis of Procedural Generated Textures for Video Games Using a CycleGAN
Conference ObjectAbstract: The creation of content for video games is a costly and time consuming task if done manually. EspeciPalabras claves:Adversarial learning, CycleGAN, GaN, PCG, Procedural, Textures, video gamesAutores:Andrés Mendez-Vazquez, Rodriguez-Abud J.A.Fuentes:scopusAnalysis of the Factors that Condition the Implementation of a Backhaul Transport Network in a Wireless ISP in an Unlicensed 5 GHz Band, in the Los Tubos Sector of the Durán Canton
Conference ObjectAbstract: The technical factors are important when establishing a data transport route. This work analyzes andPalabras claves:Backhaul transport network, BROADBAND, Unlicensed-bands, Wireless ISPAutores:Andrés Mendez-Vazquez, Fernando Sanchez, Joe Llerena-IzquierdoFuentes:googlescopusA Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures
ArticleAbstract: Datasets with thousands of features represent a challenge for many of the existing learning methodsPalabras claves:feature selection, Machine learning, python frameworkAutores:Andrés Mendez-Vazquez, Calderon-Mora A., Garcia-Ramirez I.A., Ortega-Cisneros S., Reyes-Amezcua I.Fuentes:scopusA Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios
ArticleAbstract: The present work, unlike others, does not try to reduce the noise in hyperspectral images to increasPalabras claves:3D convolutional neural network, noisy hyperspectral image, Semantic Segmentation, spectral–spatial feature extraction, Tucker tensor decompositionAutores:Andrés Mendez-Vazquez, Padilla-Zepeda E., Torres-Roman D.Fuentes:scopusA novel distributed energy-efficient self-organized algorithm for wireless ad hoc networks
Conference ObjectAbstract: Wireless ad-hoc networks require a special management because of their hardware and energy limitatioPalabras claves:Emergent behavior, Self-Organization, Sensor Networks, topology control, Virtual backboneAutores:Andrés Mendez-Vazquez, Lopez-Mellado E., Olascuaga-Cabrera J.Fuentes:scopusA plug-and-play Hyperspectral Imaging Sensor using low-cost equipment
ArticleAbstract: Hyperspectral Imaging Sensors (HSI) obtain spectral information from an object, and they are used toPalabras claves:HSI, Hyperspectral application, Hyperspectral Imaging Sensor, Imaging Spectroscopy, Low-cost HSIAutores:Andrés Mendez-Vazquez, Salazar-Vazquez J.Fuentes:scopusDetecting Dependency between Discrete Random Variables and Application
Conference ObjectAbstract: Finding the relationship between two random variables is important because it brings insights to desPalabras claves:Correlation, Dependency, feature selection, Machine learning, random variableAutores:Andrés Mendez-Vazquez, Garcia I., Llamas E.Fuentes:scopusDetecting of topic-specific leaders in social networks
Conference ObjectAbstract: Social networks on the web are growing dramatically in size and number. Identifying important peoplePalabras claves:Data Mining, Machine learning, SOCIAL BEHAVIORAutores:Andrés Mendez-Vazquez, Vega L.Fuentes:scopusDeep Learning Architecture Reduction for fMRI Data
ArticleAbstract: In recent years, deep learning models have demonstrated an inherently better ability to tackle non-lPalabras claves:cnn, Computer Vision, deep learning, Machine learning, Transfer learningAutores:Alvarez-Gonzalez R., Andrés Mendez-VazquezFuentes:scopus