Mostrando 3 resultados de: 3
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Publisher
2020 IEEE ANDESCON, ANDESCON 2020(1)
Communications in Computer and Information Science(1)
PLoS ONE(1)
Área temáticas
Arthropoda(1)
Microorganismos, hongos y algas(1)
Métodos informáticos especiales(1)
Programación informática, programas, datos, seguridad(1)
Área de conocimiento
Aprendizaje automático(2)
Ciencias de la computación(2)
Visión por computadora(1)
Zoología(1)
Origen
scopus(3)
Automatic ladybird beetle detection using deep-learning models
ArticleAbstract: Fast and accurate taxonomic identification of invasive trans-located ladybird beetle species is essePalabras claves:Autores:Coimbra M., Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Francisco Calderon, Giovanni M. Ramón-Cabrera, Jose Luis Rojo-Álvarez, Noel Perez, Pablo VenegasFuentes:scopusTowards automatic classification of mosquito species based on wing geometrical features
Conference ObjectAbstract: This paper presents an initial version of a system for the automated classification of mosquitoes spPalabras claves:Automated classification, Geometrical features, Mosquito species, Supervised learningAutores:Dennis Carrillo, Diego S. Benitez, Giovanni M. Ramón-Cabrera, Noel PerezFuentes:scopusWeighted Hausdorff Distance Loss as a Function of Different Metrics in Convolutional Neural Networks for Ladybird Beetle Detection
Conference ObjectAbstract: This work compares five different distance metrics (i.e., Euclidean, Chebyshev, Manhattan, MahalanobPalabras claves:deep learning, fully convolutional neural network, heat map, Ladybird beetle detection, weighted Hausdorff distanceAutores:Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Giovanni M. Ramón-Cabrera, Mateo Vega, Noel PerezFuentes:scopus