Mostrando 10 resultados de: 30
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2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings(2)
Applied Artificial Intelligence(2)
Neural Processing Letters(2)
Proceedings - 2022 48th Latin American Computing Conference, CLEI 2022(2)
2022 17th Latin American Conference on Learning Technologies, LACLO 2022(1)
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Autonomous cycle of data analysis tasks for learning processes
Conference ObjectAbstract: The data analysis has become a fundamental area for knowledge discovery from data extracted from difPalabras claves:Data analysis task, Learning analytic, smart classroom, Virtual Learning EnvironmentsAutores:Buendia O., José Lisandro Aguilar Castro, Moreno K., Mosquera D.Fuentes:scopusAn automatic approach of audio feature engineering for the extraction, analysis and selection of descriptors
ArticleAbstract: Currently, it is critical to find the correct features from the audio, in order to analyze the inforPalabras claves:Audio feature engineering, Data Mining, Feature Extraction, feature selectionAutores:Jiménez M., José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E.Fuentes:scopusAn automatic merge technique to improve the clustering quality performed by LAMDA
ArticleAbstract: Clustering is a research challenge focused on discovering knowledge from data samples whose goal isPalabras claves:Automatic merging, Clustering, LAMDA, unsupervised learningAutores:José Lisandro Aguilar Castro, Luis Morales MoralesFuentes:googlescopusAn incremental learning approach to pbkp_rediction models of SEIRD variables in the context of the COVID-19 pandemic
ArticleAbstract: Several works have proposed pbkp_redictive models of the SEIRD (Susceptible, Exposed, Infected, RecoPalabras claves:covid-19, Machine learning, pbkp_rediction modelAutores:Ardila D., Camargo E., Francklin Rivas, José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopusAnalysis of Meta-Features in the Context of Adaptive Hybrid Recommendation Systems
Conference ObjectAbstract: The difficulty in finding the most suitable recommendation algorithm for all requests is a common chPalabras claves:Feature engineering, Hybrid Recommendation systems, Metafeatures in Recommendation systemsAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Varela D.Fuentes:scopusAnalysis of the socioeconomic impact due to COVID-19 using a deep clustering approach
ArticleAbstract: One of the main problems that countries are currently having is being able to measure the impact ofPalabras claves:Clustering evolution, covid-19, Socioeconomic model, Time series pbkp_rediction model, Unsupervised modelAutores:Ardila D., Cortes S., José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopusA hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering
ArticleAbstract: Machine Learning is currently an important research field that attracts interest due to its importanPalabras claves:classification, Clustering, Data Mining, Evolving learning, Hybrid learning, Incremental learningAutores:Altamiranda J., José Lisandro Aguilar Castro, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA recursive patterns matching model for the dynamic pattern recognition problem
ArticleAbstract: This paper defines a new recursive pattern matching model based on the theory of the systemic functiPalabras claves:Autores:Danilo Chavez. Orcid, José Lisandro Aguilar Castro, Puerto E.Fuentes:googlescopusA semi-supervised learning approach to study the energy consumption in smart buildings
Conference ObjectAbstract: In this work, we use the semi-supervised LAMDA-HSCC algorithm for characterizing the energy consumptPalabras claves:Energetic Consumption, LAMDA, Multivariate Data Analysis, semi-supervised learningAutores:Gull C.Q., José Lisandro Aguilar Castro, R-Moreno M.D.Fuentes:scopusA synthetic Data Generator for Smart Grids based on the Variational-Autoencoder Technique and Linked Data Paradigm
Conference ObjectAbstract: In a smart environment like the smart grids, it is necessary to have knowledge models that allow solPalabras claves:deep learning, Linked data, smart Grid, Synthetic Data Generator, Variational autoencodersAutores:José Lisandro Aguilar Castro, R-Moreno M.D., Santos R.D.Fuentes:scopus