Mostrando 10 resultados de: 26
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Advances in Intelligent Systems and Computing(5)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(2)
IEEE Access(2)
Natural Language Engineering(2)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(2)
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Ciencias de la computación(7)
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Métodos informáticos especiales(4)
Citation function, polarity and influence classification
ReviewAbstract: Current methods for assessing the impact of authors and scientific media employ tools such as H-IndePalabras claves:Autores:Gomez Soriano J.M., Martínez-Barco P., Myriam Hernández-AlvarezFuentes:googlescopusCitation impact categorization: For scientific literature
Conference ObjectAbstract: Citation counting is a method to compute impact factor in scientific literature, many authors have cPalabras claves:Analysis, Citation, CONTEXT, Function, impact, index, INFLUENCE, PolarityAutores:Gomez Soriano J.M., Myriam Hernández-AlvarezFuentes:googlescopusAnnotation scheme for citation classification in scientific literature
ArticleAbstract: Citation analysis that uses counting methods causes deformations in impact factor assessment. To enrPalabras claves:Citation analysis, Citation classification schemes, content analysis, Corpus annotation, Function, INFLUENCE, PolarityAutores:Myriam Hernández-Alvarez, Soriano J.G.Fuentes:googlescopusA Systematic Literature Review of Learning-Based Traffic Accident Pbkp_rediction Models Based on Heterogeneous Sources
ReviewAbstract: Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users, such aPalabras claves:deep learning, heterogeneous sources, Machine learning, neural network, traffic accident pbkp_redictionAutores:Ángel Leonardo Valdivieso Caraguay, Myriam Hernández-Alvarez, Pablo MarcilloFuentes:googlescopusA survey on situational awareness of ransomware attacks-detection and prevention parameters
ArticleAbstract: In recent years, cybercrime activities have grown significantly, compromising device security and jePalabras claves:information security, pbkp_rediction, ransomware, Situational awarenessAutores:Ángel Leonardo Valdivieso Caraguay, Juan A.Herrera Silva, Lorena Isabel Barona López, Myriam Hernández-AlvarezFuentes:scopusDetection of Human Trafficking Ads in Twitter Using Natural Language Processing and Image Processing
Conference ObjectAbstract: Human trafficking that aims at the sexual exploitation of minors is a problem that affects the worldPalabras claves:Age group classification, Gender classification, Haar filters, human trafficking, SVM, Twitter addsAutores:Myriam Hernández-Alvarez, Sergio L. GranizoFuentes:scopusDetection of Possible Illicit Messages Using Natural Language Processing and Computer Vision on Twitter and Linked Websites
ArticleAbstract: Human trafficking is a global problem that strips away the dignity of millions of victims. CurrentlyPalabras claves:cnn, Features detection, image classification, Natural Language processing, SVMAutores:Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, Myriam Hernández-Alvarez, Sergio L. GranizoFuentes:scopusDetection of possible human trafficking in twitter
Conference ObjectAbstract: Social networks in general and Twitter, in particular, have become criminal-friendly tools used to cPalabras claves:Deception detection, Features, HASHTAGS, human trafficking, Machine learning, semi-supervised learning, Social Network, TwitterAutores:Myriam Hernández-AlvarezFuentes:googlescopusGender and age classification based on human features to detect illicit activity in suspicious sites
Conference ObjectAbstract: We developed a method to recognize gender and age groups using facial features and upper body proporPalabras claves:Age group recognition, face recognition, Gender classification, human trafficking, Upper body proportions recognitionAutores:Edgar P. Torres, Myriam Hernández-Alvarez, Sergio L. GranizoFuentes:scopusEmotion Recognition Related to Stock Trading Using Machine Learning Algorithms with Feature Selection
ArticleAbstract: This article proposes an emotion elicitation method to develop our Stock-Emotion dataset: A collectiPalabras claves:Bci, Dasm, De, deep learning, EEG, Emotion elicitation, Emotion recognition, random forest, Rasm, Stock market tradingAutores:Edgar Alejandro Torres, Edgar P. Torres, Myriam Hernández-Alvarez, Sang Guun YooFuentes:scopus