Mostrando 10 resultados de: 23
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Data in Brief(4)
Proceedings - International Conference of the Chilean Computer Science Society, SCCC(2)
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2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings(1)
2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018(1)
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A bi-objective model for gene clustering combining expression data and external biological knowledge
Conference ObjectAbstract: Clustering algorithms have been widely used by biologists to identify clusters of co-related genes.Palabras claves:Clustering, External Biological Knowledge, Gene Expression, Gene Ontology, Metaheurístic, Multi-objectiveAutores:Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusA data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
OtherAbstract: In this article, we introduce a data set concerning electric-power consumption-related features regiPalabras claves:Electric power consumption, forecasting, Machine learning, smart Grid, Socio-demographic dataAutores:Anaya-Isaza A.J., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Jorge Parraga-Alava, Moncayo-Nacaza J.D., Paul D. Rosero-MontalvoFuentes:googlescopusA multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies
ArticleAbstract: Background: Biologists aim to understand the genetic background of diseases, metabolic disorders orPalabras claves:External Biological Knowledge, Gene expression data, Multi-objective clustering (MOC), Pareto local search (PLS), Path-relinking (PR)Autores:Dorn M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusCBCovid19EC: A dataset complete blood count and PCR test for COVID-19 detection in Ecuadorian population
OtherAbstract: In this work, we present the complete blood count data and PCR test results of a population of EcuadPalabras claves:ECUADOR, Hematological data, Machine learning, SARS-COV-2Autores:Dorn M., J. Meza Hormaza, Jorge Parraga-Alava, Leticia Vaca-Cardenas, Luis Terán, Portmann E., Ricardo Ordoñez-AvilaFuentes:scopusAphids Detection on Lemons Leaf Image Using Convolutional Neural Networks
Conference ObjectAbstract: Ecuador has been recognized for the export of high-quality plant products for food. Plant leaves disPalabras claves:Aphids, convolutional neural networks, image classification, Lemon plants, Supervised learningAutores:Jorge Parraga-Alava, Miguel A. Becerra, Riascos-Salas J.A., Roberth Alcivar-CevallosFuentes:scopusAn Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media
Conference ObjectAbstract: In this paper, we present an approach to categorize potential suicide messages in social media whichPalabras claves:Automatic annotation, Clustering, Corpus, Social media, suicide, unsupervised learningAutores:Caicedo R.A., Gomez Soriano J.M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusFeature selection reveal peripheral blood parameter's changes between COVID-19 infections patients from Brazil and Ecuador
ArticleAbstract: The investigation of conventional complete blood-count (CBC) data for classifying the SARS-CoV-2 infPalabras claves:Brazil, covid-19, ECUADOR, Hematological data, Machine learning, SARS-COV-2Autores:Dorn M., Feltes B.C., Jaime Meza, Jaime Meza Hormaza, Jorge Parraga-Alava, Luis Terán, Portmann E., Vieira I.A.Fuentes:googlescopusEvaluation of LoRa Technology for Aquaculture Pool Monitoring
Conference ObjectAbstract: Low Power Wide Area Networks (LPWAN) have emerged as ideal tools for environmental monitoring and smPalabras claves:Aquaculture, LORA, LoRaWan, sensorsAutores:Cristhian Alava-Troya, Jorge Parraga-AlavaFuentes:scopusMonitoring of Air Pollution Levels with Long Range Transmission Technology
ArticleAbstract: This research is based on the monitoring of pollutants, carbon monoxide (CO), carbon dioxide (CO2),Palabras claves:air pollution, Arduino UNO, LORA, SFAutores:Jorge Herrera-Tapia, Jorge Parraga-Alava, Juan Carlos Tipán-AlcívarFuentes:scopusMulti-objective genetic algorithms: Are they useful for tuning parameters in agent-based simulation?
ArticleAbstract: One of the main issues, when an agent-based simulation (ABS) is performed, is the existence of a lotPalabras claves:agent-based model, Agent-based Simulation, Ants Foraging, Multi-Objective Genetic Algorithm, Tuning parametersAutores:Garzón G.M., Jorge Parraga-Alava, Valarezo R.V.Fuentes:googlescopus