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2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(3)
2020 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2020 - Proceedings(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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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 software-defined networking approach to improve service provision in residential networks
Conference ObjectAbstract: Within the Internet service provider landscape, the residential gateway (RGW) plays a key role in sePalabras claves:Autores:Bellido Triana L., Fernandez D., González C., Ricardo Flores MoyanoFuentes:googlescopusA user-centric SDN management architecture for NFV-based residential networks
ArticleAbstract: The residential gateway is a key device in the provision of Internet access to a household or to a sPalabras claves:Network function virtualization, Network Management, Residential network, Residential network service, Software defined networking, User-centricAutores:Bellido Triana L., Fernandez D., Ricardo Flores MoyanoFuentes: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: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:scopusElastic Networks Thematic Network Results II: Edge Computing and Wireless Support
Conference ObjectAbstract: This paper overviews the approach of the Elastic Networks research network to address the challengesPalabras claves:C-RAN, elastic networks, fog-to-cloud, NFV, SDNAutores:Bellido Triana L., Calle E., Fernandez D., Gómez S., Hernández J.A., Jurnet A., Larrabeiti D., Lentisco C.M., Marín E., Masip-Bruin X., Otero G., Reviriego P., Ricardo Flores MoyanoFuentes:googlescopusElectoral 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:scopusEnhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators
ArticleAbstract: Network slicing is a key element in 5G networks. It allows a mobile network operator (MNO) to offerPalabras claves:5G, multiaccess edge computing, Network function virtualization, network slicing, software-defined networks, virtualized network function orchestrationAutores:Bellido Triana L., Cardenas A., Fernandez D., Lentisco C.M., Ricardo Flores MoyanoFuentes:googlescopusStock Price Analysis with Deep-Learning Models
Conference ObjectAbstract: Novel artificial intelligence prediction algorithms use deep learning techniques, i.e., recurrent nePalabras claves:Autoencoder, Conv2D, deep learning, LSTM, pbkp_rediction, Stocks, Time-seriesAutores:Daniel Riofrio, Diego S. Benitez, Juan Arosemena, Noel Perez, Ricardo Flores MoyanoFuentes:scopusText-based CAPTCHA Vulnerability Assessment using a Deep Learning-based Solver
Conference ObjectAbstract: The focus of this work is to test the security offered by Text-based CAPTCHAs. We present differentPalabras claves:Computer Vision, convolutional neural networks, deep learning, LeNet, Text-Based CAPTCHAsAutores:Daniel Aguilar, Daniel Riofrio, Diego S. Benitez, Noel Perez, Ricardo Flores MoyanoFuentes:scopus