Mostrando 10 resultados de: 25
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2021 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2021 - Proceedings(3)
Communications in Computer and Information Science(3)
PLoS ONE(3)
2020 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2020 - Proceedings(2)
2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(2)
Coccinellidae Beetle Specimen Detection Using Convolutional Neural Networks
Conference ObjectAbstract: In this work, we propose a ladybird beetle detector based on a deep learning classifier and the weigPalabras 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:scopusCombining Filter-Based Feature Selection Methods and Gaussian Mixture Model for the Classification of Seismic Events from Cotopaxi Volcano
ArticleAbstract: This paper proposes an exhaustive evaluation of five different filter-based feature selection methodPalabras claves:Feature selection methods, Gaussian mixture model (GMM) classifier, Redundancy analysis, Seismic Events ClassificationAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:googlescopusAutomatic identification of intestinal parasites in reptiles using microscopic stool images and convolutional neural networks
ArticleAbstract: Captive environments trigger the propagation and multiplication of parasites among different reptilePalabras claves:Autores:Alejandra Núñez, Bryan Núñez, Diego S. Benitez, Felipe Grijalva, Noel Perez, Parra C.Fuentes:scopusAutomatic 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:scopusBuilding Machine Learning Models for Long-Period and Volcano-Tectonic Event Classification
Conference ObjectAbstract: The proper identification of several types of volcanic seismic events can be related to the intrinsiPalabras claves:Ensemble Classification Model, Machine learning classifiers, Seismic Events ClassificationAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopusAn approach to automatic classification of Culicoides species by learning the wing morphology
ArticleAbstract: Fast and accurate identification of biting midges is crucial in the study of Culicoides-borne diseasPalabras claves:Autores:Augot D., Diego S. Benitez, Jose Luis Rojo-Álvarez, Juan Daniel Mosquera, Noel Perez, Pablo Venegas, SONIA ZAPATA MENAFuentes:scopusAnalyzing the Effect of Basic Data Augmentation for COVID-19 Detection through a Fractional Factorial Experimental Design
ArticleAbstract: The COVID-19 pandemic has created a worldwide healthcare crisis. Convolutional Neural Networks (CNNsPalabras claves:convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image ClassificationAutores:Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Juan Jose Murillo, Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusA Deep Convolutional Autoencoder Architecture for Automatic Image Colorization
Conference ObjectAbstract: The inherent complexity of image colorization has motivated computer scientists towards the developmPalabras claves:cnn, deep convolutional autoencoder, Image colorization, VGGAutores:Daniel Riofrio, Diego S. Benitez, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores Moyano, Stefano CevallosFuentes:scopusDeep-Learning for Volcanic Seismic Events Classification
Conference ObjectAbstract: In this work, we proposed a new method to classify long-period and volcano-tectonic spectrogram imagPalabras claves:Artificial Intelligence, deep-learning models, spectrogram images, volcanic seismic event classificationAutores:Aaron Salazar, Diego S. Benitez, Noel Perez, Rodrigo ArroyoFuentes:scopusCategorizing Volcanic Seismic Events with Unsupervised Learning
Conference ObjectAbstract: We explored three different clustering-based classifiers to categorize two different volcanic seismiPalabras claves:BFR, clustering methods, CURE, K-Means, unsupervised learning, volcanic seismic event categorizationAutores:Adrián Duque, Diego S. Benitez, Kevin González, Noel PerezFuentes:scopus