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2020 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2020 - Proceedings(5)
Communications in Computer and Information Science(4)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(4)
2020 IEEE ANDESCON, ANDESCON 2020(3)
2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(3)
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A 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:scopusA New volcanic seismic signal descriptor and its application to a data set from the cotopaxi volcano
ArticleAbstract: This article proposes a new volcano seismic signal descriptor for improving the area under the receiPalabras claves:Machine learning classifiers (MLCs), seismic event classification, seismic pattern generation, spectrogram based featuresAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopusCoccinellidae 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 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:scopusBenchmarking Seismic-Based Feature Groups to Classify the Cotopaxi Volcanic Activity
ArticleAbstract: We systematically and comprehensively tested almost 100 feature groups in four commonly used automatPalabras claves:Feature relevance, feed-forward back-propagation (FFBP) neural network, k-nearest neighbors (kNN), Machine learning classifiers (MLCs), naive Bayes (NB), random forest (RF), Seismic Events Classification, volcano seismic events featuresAutores:Diego S. Benitez, Felipe Grijalva, 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:scopus