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2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(2)
Communications in Computer and Information Science(2)
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2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014(1)
2020 IEEE ANDESCON, ANDESCON 2020(1)
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A new semiautomatic method for ICH segmentation and tracking from CT head images
Conference ObjectAbstract: Recently, computer-aided diagnosis (CAD) has become one of the major research subjects in medical imPalabras claves:Autores:Guevara M.A., Noel Perez, Rodríguez L.A., Silva A.J., Valdés J.A.Fuentes:googlescopusComplex Networks Analyses of Antibiofilm Peptides: An Emerging Tool for Next-Generation Antimicrobials’ Discovery
ArticleAbstract: Microbial biofilms cause several environmental and industrial issues, even affecting human health. APalabras claves:antibiofilm peptide, centrality measure, chemical space, Complex network, motif discovery, StarPep toolboxAutores:Agüero-Chapin G., Antunes A., César H. Zambrano, Ernesto Contreras-Torres, Jose R. Mora, Martinez-Rios F.O., Noel Perez, Valdés-Martiní J.R., Yovani Marrero-PonceFuentes:scopusComputational discovery of novel anthelmintic natural compounds from Agave Brittoniana trel. Spp. Brachypus
ArticleAbstract: Helminth infections are a medical problem in the world nowadays. This report used bond-based 2D quadPalabras claves:Agave brittoniana Trel. spp. Brachypus, Anthelmintic Agent, Computational Screening, Fasciola hepática, LDA-Based QSAR Model, nonstochastic and stochastic bond-based quadratic indices, QuBiLS-MAS, ToMoCoMD-CARDD softwareAutores:Echevarría-Díaz Y., Guerra J.O., Macías F.A., Noel Perez, Nogueiras C.M., Olazabal E., Pérez-Giménez F., Serrano H.S., Simonet A.M., Yeniel González-Castañeda, Yovani Marrero-PonceFuentes:googlescopusAutomatic identification of intestinal parasites in reptiles using microscopic stool images and convolutional neural networks
ArticleAbstract: Captive environments trigger the propagation and multiplication of parasites among different reptilePalabras claves:Autores:Alejandra Núñez, Bryan Núñez, Diego S. Benitez, Felipe Grijalva, Noel Perez, Parra C.Fuentes: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:scopusAn Android App to Classify Culicoides Pusillus and Obsoletus Species
Conference ObjectAbstract: Culicoides biting midges are transmission vectors of various diseases affecting humans and animals aPalabras claves:Android Application, Culicoides species classification, digital image processing, feature selection, Machine learning classifiersAutores:Augot D., Diego S. Benitez, Noel Perez, Sebastián Gutiérrez, SONIA ZAPATA MENAFuentes:googlescopusFace 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:scopusImproving breast cancer classification with mammography, supported on an appropriate variable selection analysis
Conference ObjectAbstract: This work addresses the issue of variable selection within the context of breast cancer classificatiPalabras claves:Breast cancer classification, Clinical descriptors, Image-based descriptors, Machine learning algorithms, Mammography, Variable selection analysisAutores:Guevara M.A., Noel Perez, Silva A.Fuentes:googlescopusImproving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
ArticleAbstract: Objective: This work addresses the theoretical description and experimental evaluation of a new featPalabras claves:Breast cancer CADx, Feature selection methods, Machine learning algorithms, Mann-Whitney U-test, Redundancy analysis, UFilter methodAutores:Guevara M.A., Noel Perez, Ramos I., Silva A.Fuentes:googlescopus