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2021 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2021 - Proceedings(3)
2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(2)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(2)
2020 IEEE ANDESCON, ANDESCON 2020(1)
Communications in Computer and Information Science(1)
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Ciencias de la computación(7)
Métodos informáticos especiales(6)
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scopus(11)
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 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: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: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:scopusPath Planning Optimization in SDN Using Machine Learning Techniques
Conference ObjectAbstract: Internet, mobile networks, and mobile devices have contributed to the massive development of telematPalabras claves:ANN, Knn, PATH PLANNING, SDN, SVMAutores:Daniel Riofrio, Diego S. Benitez, Marlon Rodríguez, Noel Perez, Ricardo Flores MoyanoFuentes:scopusMeasuring the Impact of Data Augmentation Techniques in Lung Radiograph Classification Using a Fractional Factorial Design: A Covid-19 Case Study
Conference ObjectAbstract: Convolutional neural networks (CNNs) have become dominant in various computer vision tasks, obtaininPalabras 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, Jose Murillo J., Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusVolcanic seismic event classification based on CNN architectures
Conference ObjectAbstract: This paper explores the use of convolutional neural networks architectures in the context of volcanoPalabras claves:CNN based classifiers, Machine learning classifier, spectrogram images, volcanic seismic event classificationAutores:Daniel Riofrio, Diego S. Benitez, Francisco Calderon, Noel PerezFuentes: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:scopusStock Price Analysis with Deep-Learning Models
Conference ObjectAbstract: Novel artificial intelligence pbkp_rediction algorithms use deep learning techniques, i.e., recurrenPalabras claves:Autoencoder, Conv2D, deep learning, LSTM, pbkp_rediction, Stocks, Time-seriesAutores:Daniel Riofrio, Diego S. Benitez, Juan Arosemena, Noel Perez, Ricardo Flores MoyanoFuentes:scopus