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2020 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2020 - Proceedings(4)
Communications in Computer and Information Science(4)
2020 IEEE ANDESCON, ANDESCON 2020(2)
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021(2)
2021 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2021 - Proceedings(2)
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Ciencias de la computación(10)
Física aplicada(4)
Ciencias de la tierra(3)
Geología, hidrología, meteorología(3)
Funcionamiento de bibliotecas y archivos(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:scopusAutomatic 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: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: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:scopusAn 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:googlescopusFace Gesture Recognition Using Deep-Learning Models
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:scopusMosCla app: An android app to classify Culicoides 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, SVM classifierAutores: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:googlescopusHammerhead shark detection using regions with convolutional neural networks
Conference ObjectAbstract: Over the years, the illegal catch of sharks in the Pacific Ocean for Asians fin markets has drasticaPalabras claves:deep learning, Faster R-CNN, hammerhead shark detection and tracking, object detection, object tracking, Real-time detector, ResNet50Autores:Alex R. Hearn, Diego S. Benitez, Gabriela Ulloa, Noel Perez, Vicente A. VasconezFuentes:googlescopus