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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)
Communications in Computer and Information Science(2)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(2)
2020 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2020 - Proceedings(1)
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Ciencias de la computación(8)
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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 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: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: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:googlescopusOn the Use of a Low-Cost Embedded System for Face Detection and Recognition
Conference ObjectAbstract: This paper explores the feasibility of using commercially available off-the-shelf components to implPalabras claves:Caffe, Embedded System, face detection, face recognition, Intel neural stick 2, OpenFace, Raspberry pi 3 b+Autores:Daniel Riofrio, Diego S. Benitez, Noel Perez, Ramiro Sandoval, Ricardo Flores Moyano, Vanessa CaminoFuentes: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: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