Mostrando 7 resultados de: 7
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Conference Object(7)
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Ciencias de la computación(4)
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An Android App to Classify Culicoides Pusillus and Obsoletus Species
Conference ObjectAbstract: Culicoides biting midges are transmission vectors of various diseases affecting humans and animals aPalabras claves:Android Application, Culicoides species classification, digital image processing, feature selection, Machine learning classifiersAutores:Augot D., Diego S. Benitez, Noel Perez, Sebastián Gutiérrez, SONIA ZAPATA MENAFuentes:googlescopusHammerhead Shark Species Monitoring with Deep Learning
Conference ObjectAbstract: In this paper, we propose a new automated method based on deep convolutional neural networks to detePalabras claves:Deep convolutional neural networks, hammerhead shark detection and tracking, Mask R-CNN architecture, Real-time detector, YOLOv3 architectureAutores:Alex R. Hearn, Alvaro Peña, Diego S. Benitez, Noel PerezFuentes:googlescopusOn the Use of Convolutional Neural Network Architectures for Facial Emotion Recognition
Conference ObjectAbstract: This work compares face gesture recognition methods based on deep learning convolutional neural netwPalabras claves:Artificial Intelligence, deep-learning models, face emotion recognition, Face gesture classification, Face imagesAutores:Andrés Espinel, Daniel Riofrio, Diego S. Benitez, Noel Perez, Ricardo Flores MoyanoFuentes:googlescopusTowards Automatic Comparison of Online Campaign Versus Electoral Manifestos
Conference ObjectAbstract: Social media is an important information outlet and a new political landscape for politicians. In faPalabras claves:ELECTIONS, Natural Language processing, Political campaign, TEXT MININGAutores:Daniel Riofrio, Diego S. Benitez, José Dávalos, Medina-Perez P., Noel Perez, Pablo Medina P., Pamela Almeida, Ricardo Flores MoyanoFuentes:googlescopusUnderstanding the Cotopaxi Volcano Activity with Clustering-Based Approaches
Conference ObjectAbstract: We explored four different clustering-based classifiers to categorize two different volcanic seismicPalabras claves:Agglomerative, BFR, clustering methods, CURE, K-Means, unsupervised learning, volcanic seismic event categorizationAutores:Adrián Duque, Diego S. Benitez, Kevin González, Noel PerezFuentes:scopusSeismic Event Classification Using Spectrograms and Deep Neural Nets
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: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