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A Systematic Literature Review of Learning-Based Traffic Accident Prediction 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:scopusCitation 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:googlescopusDynamic Feature Dataset for Ransomware Detection Using Machine Learning Algorithms
ArticleAbstract: Ransomware-related cyber-attacks have been on the rise over the last decade, disturbing organizationPalabras claves:Analysis, classification, Dataset, dynamic, encryptor, Features, locker, Machine learning, ransomwareAutores:Juan A. Herrera Silva, Myriam Hernández-AlvarezFuentes:googlescopusEEG-Based BCI Emotion Recognition Using the Stock-Emotion Dataset
Conference ObjectAbstract: We present a novel method of emotion elicitation through stock trad- ing activities in a competitivePalabras claves:Bci, EEG, Emotion recognition, Feature Extraction, Machine learningAutores:Edgar P. Torres, Myriam Hernández-Alvarez, Sang Guun Yoo, Torres H E.Fuentes:scopusEEG-based BCI emotion recognition: A survey
ArticleAbstract: Affecting computing is an artificial intelligence area of study that recognizes, interprets, processPalabras claves:Bci, classification, Emotion, extraction, Feature, Preprocessing, recognition, Selection, Survey, trendsAutores:Edgar Alejandro Torres, Edgar P. Torres, Myriam Hernández-Alvarez, Sang Guun YooFuentes: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:scopus