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Applied Computing and Informatics(2)
Proceedings - 2022 48th Latin American Computing Conference, CLEI 2022(2)
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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:scopusAudio feature engineering for occupancy and activity estimation in smart buildings
ArticleAbstract: The occupancy and activity estimation are fields that have been severally researched in the past fewPalabras claves:Acoustic features, Activity estimation, Audio feature engineering, Occupancy estimation, Smart BuildingsAutores:Jiménez M., José Lisandro Aguilar Castro, Montoya-Múnera E., Santiago G.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:scopusAnalysis of different affective state multimodal recognition approaches with missing data-oriented to virtual learning environments
ArticleAbstract: In this work, the affective state of users in virtual learning environments is assessed/recognized iPalabras claves:Affective state, Arousal and valence dimensions, Emotional Recognition, Multimodal recognitionAutores:José Lisandro Aguilar Castro, Montoya-Múnera E., Salazar C.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:scopusAffective recommender systems in the educational field. A systematic literature review
ReviewAbstract: Students' emotions have been proven to play a fundamental role in the teaching/learning process. AsPalabras claves:Affective recommendation systems, Emotion recognition, sentiment analysisAutores:José Lisandro Aguilar Castro, Monsalve-Pulido J., Montoya-Múnera E., Salazar C.Fuentes:scopus