Browsing by Author "Ezpeleta Gallastegi, Enaitz"
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Actas de las Cuartas Jornadas Nacionales de Investigación en Ciberseguridad. Donostia-San Sebastián, Gipuzkoa, 13-15 de Junio, 2018
Jornadas Nacionales de Investigación en Ciberseguridad (JNIC) (Mondragon Unibertsitateko Zerbitzu Editoriala, 2018) -
A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection
Ezpeleta Gallastegi, Enaitz; Iturbe Urretxa, Mikel; Garitano Garitano, Iñaki; Velez de Mendizabal Gonzalez, Iñaki; Zurutuza Ortega, Urko (Springer, 2018)In the same manner that Online Social Networks (OSN) usage increases, non-legitimate campaigns over these types of web services are growing. This is the reason why signi cant number of users are affected by social spam ... -
New approaches for content-based analysis towards online social network spam detection
Ezpeleta Gallastegi, Enaitz (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2016)Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. Although spam filtering techniques are capable of detecting significant percentage of the spam messages, the problem is ... -
Nuevos Paradigmas de Análisis Basados en Contenidos para la Detección del Spam en RRSS
Ezpeleta Gallastegi, Enaitz (Sociedad Española para el Procesamiento del Lenguaje Natural, 2018)Tesis doctoral realizada por Enaitz Ezpeleta Gallastegi en Mondragon Unibertsitatea, dentro del grupo de Sistemas Inteligentes para Sistemas Industriales, dirigida por los Doctores Urko Zurutuza Ortega (Mondragon Unibertsitatea) ... -
SDRS: A new lossless dimensionality reduction for text corpora
Velez de Mendizabal Gonzalez, Iñaki; Ezpeleta Gallastegi, Enaitz; Zurutuza Ortega, Urko (Elsevier Ltd., 2020)In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ... -
Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis
Ezpeleta Gallastegi, Enaitz; Garitano Garitano, Iñaki; Zurutuza Ortega, Urko (World Scientific Publishing, 2017)Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ... -
Short Messages Spam Filtering Using Sentiment Analysis
Ezpeleta Gallastegi, Enaitz; Zurutuza Ortega, Urko (Springer International Publishing, 2016)In the same way that short instant messages are more and more used, spam and non-legitimate campaigns through this type of communication systems are growing up. Those campaigns, besides being an illegal online activity, ... -
A study of the personalization of spam content using Facebook public information
Ezpeleta Gallastegi, Enaitz; Zurutuza Ortega, Urko (Oxford University Press, 2017)Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ... -
Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data
Cernuda García, Carlos; Ezpeleta Gallastegi, Enaitz; Alberdi Aramendi, Ane (IOS Press, 2020)Background: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated. Objective: The objective of the study was to validate predictive models to separately ...
