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Advances in Intelligent Systems and Computing(3)
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Proceedings - 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2015(1)
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Detecting and neutralizing encrypting Ransomware attacks by using machine-learning techniques: A literature review
ReviewAbstract: Almost immediatelyafter the initial design and implementation of first computers systemsaccessibletoPalabras claves:Machine learning, Malware, Malware detection algorithms, ransomwareAutores:Edgar P. Torres, Sang Guun YooFuentes:scopusGender 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:scopusDistributed system as internet of things for a new low-cost, air pollution wireless monitoring on real time
Conference ObjectAbstract: We have developed a low-cost wireless monitoring system, that enables air quality referential paramePalabras claves:agile methodologies, air pollution, Arduino, DISTRIBUTED SYSTEMS, Electronic sensors, IOT, REAL TIMEAutores:CÉSAR VILLACÍS, Diego Carrera, Edgar P. Torres, Hernán Aules, JUAN FERNANDO GALARRAGA HURTADO, Theofilos Toulkeridis, Walter Fuertes, Walter Marcelo Fuertes-DíazFuentes: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:scopusMachine 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