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2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(1)
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An extensive pixel-level augmentation framework for unsupervised cross-modality domain adaptation
OtherAbstract: Convolutional neural networks (CNNs) have achieved great success in automating the segmentation of mPalabras claves:Autores:Maria G. Baldeon CalistoFuentes:googleA 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:scopusCOVID-19 ResNet: Residual neural network for COVID-19 classification with three-step Bayesian optimization
OtherAbstract: COVID-19 is an infectious disease caused by a novel coronavirus called SARS-CoV-2. The first case apPalabras claves:Autores:Maria G. Baldeon CalistoFuentes:googleApplication of Machine Learning algorithms for the pbkp_rediction of payment by agreement in a debt collection company with the CRISP-DM methodology
OtherAbstract: Debt collection from a debt collection agency (DCA) has become more difficult due to the pandemic. NPalabras claves:Autores:Maria G. Baldeon CalistoFuentes:googleAdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation
ArticleAbstract: Adapting an existing convolutional neural network architecture to a specific dataset for medical imaPalabras claves:convolutional neural networks, deep learning, Evolutionary algorithms, Hyperparameter optimization, Medical image segmentation, Multiobjective optimizationAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusEMONAS: Efficient multiobjective neural architecture search framework for 3D medical image segmentation
Conference ObjectAbstract: Deep learning plays a critical role in medical image segmentation. Nevertheless, manually designingPalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusNeural Architecture Search with an Efficient Multiobjective Evolutionary Framework
OtherAbstract: Deep learning methods have become very successful at solving many complex tasks such as image classiPalabras claves:Autores:Maria G. Baldeon CalistoFuentes:googleIISE Annual Conference and Expo 2018
OtherAbstract: IISE Annual Conference and Expo 2018 (Table of Contents) Page 1 • ISBN: 978-1-5108-6935-6 IISE AnnuaPalabras claves:Autores:Maria G. Baldeon CalistoFuentes:googleMachine Learning in Finance: An Application of Pbkp_redictive Models to Determine the Payment Probability of a Client
OtherAbstract: In the last decades, private debt collection has become an important industry in Ecuador. Debt collePalabras claves:Autores:Maria G. Baldeon CalistoFuentes:google