Mostrando 7 resultados de: 7
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Advances in Intelligent Systems and Computing(2)
Applied Sciences (Switzerland)(1)
IEEE Access(1)
Lecture Notes in Networks and Systems(1)
Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019(1)
A 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: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:scopusDynamic 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:googlescopusMachine Learning Analysis of EEG Measurements of Stock Trading Performance
Conference ObjectAbstract: In this paper, we analyze the participants’ state of mind through the measurement of EEG readings liPalabras claves:Brain-Computer Interface, EEG, Emotion recognition, Machine learningAutores:Edgar Alejandro Torres, Edgar P. Torres, Myriam Hernández-Alvarez, Sang Guun YooFuentes:scopusReal-Time Emotion Recognition for EEG Signals Recollected from Online Poker Game Participants
Conference ObjectAbstract: This study employs a novel emotion elicitation method to recollect EEG signals using an EEG-based BCPalabras claves:Brain-Computer Interface, EEG, Emotion recognition, Machine learning, PokerAutores:Edgar Alejandro Torres, Edgar P. Torres, Myriam Hernández-Alvarez, Sang Guun YooFuentes:scopusStock Market Data Pbkp_rediction Using Machine Learning Techniques
Conference ObjectAbstract: This paper studies the possibilities of making pbkp_rediction of stock market prices using historicaPalabras claves:Artificial Intelligence, Machine learning, pbkp_rediction, stock marketAutores:Edgar Alejandro Torres, Edgar P. Torres, Myriam Hernández-Alvarez, Sang Guun YooFuentes:scopus