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Applied Computing and Informatics(2)
Proceedings - 2022 48th Latin American Computing Conference, CLEI 2022(2)
Computation(1)
Education and Information Technologies(1)
International Journal of Multimedia Information Retrieval(1)
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Funcionamiento de bibliotecas y archivos(4)
Ciencias de la computación(3)
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Escuelas y sus actividades; educación especial(1)
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ODS 9: Industria, innovación e infraestructura(8)
ODS 17: Alianzas para lograr los objetivos(7)
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scopus(8)
Comparison and evaluation of different methods for the feature extraction from educational contents
ArticleAbstract: This paper analyses the capabilities of different techniques to build a semantic representation of ePalabras claves:content analysis, Educational contents, Feature Extraction, Information Retrieval, Recommendation system, Semantic representationAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Salazar C., Velasco H.Fuentes:scopusAutonomous cycles of data analysis tasks for innovation processes in MSMEs
ArticleAbstract: Purpose: The authors propose the concept of “Autonomic Cycle for innovation processes,” which definePalabras claves:Artificial Intelligence, Autonomic computing, data analytics, Innovation processAutores:Gutiérrez A., José Lisandro Aguilar Castro, Montoya-Múnera E., Ortega A.Fuentes:scopusAutonomous recommender system architecture for virtual learning environments
ArticleAbstract: This article proposes an architecture of an intelligent and autonomous recommendation system to be aPalabras claves:Autonomous computing, Context-aware, Recommendation systemsAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Salazar C.Fuentes:scopusAn adaptive hybrid recommendation system architecture
ArticleAbstract: There is a wide variety of recommendation systems, mainly based on content and collaborative filtersPalabras claves:Collaborative filter, Content Based, Hybrid algorithm, Recommendation systemsAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Varela 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: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:scopusContext Knowledge Extraction using Network Traffic Information
Conference ObjectAbstract: A growing trend in information technology is not just reacting to changes, but anticipating them asPalabras claves:Context-awareness, Data Analysis, Deep packet inspection, Machine learning, Network Traffic, OntologiesAutores:De Mesa J.G., Jerez M., José Lisandro Aguilar Castro, Montoya-Múnera E., Pinto A.D.Fuentes:scopusFramework for the adaptation of an autonomous academic recommendation system as a service-oriented architecture
ArticleAbstract: The adaptation of traditional systems to service-oriented architectures is very frequent, due to thePalabras claves:Academic recommendation systems, Autonomous computing, Service-oriented architectureAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E.Fuentes:scopus