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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 Manifesto Comparison using NLP Techniques and the Manifesto Project Domains-Case Study: 2021 Ecuadorian Presidential Elections
Conference ObjectAbstract: Democracies rely on the capability of a country to conduct fair elections. And, fair elections relyPalabras claves:doc2vec, ELECTIONS, Manifesto Project, Natural Language processing, Political manifest, TEXT MININGAutores:Daniel Riofrio, Diego S. Benitez, Medina-Perez P., Mike Pinta, Noel Perez, Ricardo Flores MoyanoFuentes: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:scopusBeetleID: An Android Solution to Detect Ladybird Beetles
Conference ObjectAbstract: In this work, an Android mobile application named BeetleID was developed to detect ladybird beetlesPalabras claves:Android Application, Coccinelidae species detection, Deep learning models, image pre-processingAutores:Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Emilia Peñaherrera-Romero, Giovanni M. Ramón-Cabrera, Noel Perez, Ricardo MurielFuentes:scopusBuy & Sell Trends Analysis Using Decision Trees
Conference ObjectAbstract: Present artificial intelligence advances tend to be focused on customized deep learning techniques wPalabras claves:C4.5, CART, decision tree, Market trend databaseAutores:Carlos Vaca, Daniel Riofrio, Diego S. Benitez, Noel PerezFuentes:googlescopusAnalyzing 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:scopusFace 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:scopusElectoral Manifestos and Online Campaign Analysis: Case Study - The 2019 Ecuadorian Sectional Elections
Conference ObjectAbstract: Social media is an important information outlet and a new political landscape for politicians. In faPalabras claves:Cosine Similarity, ELECTIONS, Political campaign, TEXT MININGAutores:Daniel Riofrio, Diego S. Benitez, José Dávalos, Medina-Perez P., Noel Perez, Pamela Almeida, Ricardo Flores MoyanoFuentes:scopusOn 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:googlescopus