Mostrando ítems 1-20 de 22

    • A proposal for sentiment analysis on twitter for tourism-based applications 

      Guzmán De Núñez, Xiomarah Maria (1); Núñez-Valdez, Edward Rolando; Pascual Espada, Jordán; González-Crespo, Rubén (1); Garcia-Díaz, Vicente (Frontiers in Artificial Intelligence and Applications, 2018)
      People rely on other people’s opinions to make decisions, especially if they belong to their circle of trust. In addition, there are lots of websites of recognized prestige that provide people opinions about different ...
    • A System for Personality and Happiness Detection 

      Saez, Yago; Navarro, Carlos; Mochon, Asuncion; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), ...
    • Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data 

      Mondragón, Victor M; García-Díaz, Vicente; Porcel, Carlos; González-Crespo, Rubén (1) (Soft Computing, 03/2017)
      This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ...
    • Agente conversacional para búsqueda y recomendación de ofertas laborales 

      Gómez-Loizaga, Héctor Antonio (18/09/2019)
      El objetivo del presente trabajo es el desarrollo de la arquitectura y metodología utilizada por un agente conversacional para interaccionar con un usuario y extraer la información necesaria que le permita actuar como ...
    • An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis 

      García-Díaz, Vicente; Pascual-Espada, Jórdan; González-Crespo, Rubén (1); Pelayo García-Bustelo, B Cristina; Cueva Lovelle, Juan Manuel (Applied Soft Computing, 05/2017)
      Social networks link people and machines, providing a huge amount of information that grows very fast without the possibility to be handled manually. Moreover, opinion mining is the process of using natural language ...
    • Un Análisis de Sentimiento en Twitter con Machine Learning: Identificando el sentimiento sobre las ofertas de #BlackFriday 

      Saura, José Ramón; Reyes-Menéndez, Ana; Palos-Sánchez, Pedro R (1) (Espacios, 06/2018)
      Twitter se ha convertido en una red social ideal para el análisis de audiencias y el estudio de opiniones sobre eventos y acontecimientos en tiempo real alrededor del mundo. El objetivo de esta investigación es el de ...
    • Clustering analysis for automatic certification of LMS strategies in a university virtual campus 

      Regueras, Luisa M; Verdú, María J; Castro, Juan P de; Verdú, Elena (1) (IEEE Access, 2019)
      In recent years, the use of Learning Management Systems (LMS) has grown considerably. This has had a strong effect on the learning process, particularly in higher education. Most universities incorporate LMS as a complement ...
    • Comparativa de técnicas Machine Learning sobre comportamiento de pago de clientes con cuentas por cobrar 

      Pesantez-Chuqui, Martha Cecilia (19/09/2019)
      El presente proyecto tiene como objetivo identificar el algoritmo con mayor exactitud usando una comparativa de técnicas de Machine Learning para detectar el comportamiento de pago de clientes con cuentas por cobrar con ...
    • Entrenador-Ayudante Digital en Tenis 

      Molina-Márquez, Gonzalo (19/09/2019)
      ¿Cómo crear un sistema de anotación automática en tenis a partir de videos de baja calidad? Existen herramientas como el “Ojo de Halcón” que dictaminan si una bola ha entrado o no, decidiendo por encima de los jueces, ...
    • Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak 

      Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén (1); Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)
      Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
    • Fraud Detection on European Food and Animal Trade with Machine Learning Algorithms 

      de Paz-Martín, María del Pilar (15/09/2017)
      TRACES es un sistema de la Comisión Europea que ofrece trazabilidad de las importaciones y exportaciones europeas. Las importaciones de mercancías de origen animal son objeto de varios controles cuando entran en Europa, ...
    • OpinAIS: An Artificial Immune System-based Framework for Opinion Mining 

      Baldominos, Alejandro; Luis Mingueza, Nerea; García del Pozo, Mª Cristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial ...
    • Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study 

      Iglesias Comesaña, Carla; Antunes, Margarida; Albuquerque, Teresa; Martínez Torres, Javier (1); Taboada, Javier (Journal of Geochemical Exploration, 01/2020)
      The distribution patterns of trace elements are very useful for predicting mineral deposits occurrence. Machine learning techniques were used for the computation of adequate models in trace elements' prediction. The main ...
    • Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning 

      Cristiano Prati, Ronaldo; Said-Hung, Elías Manuel (1) (AI and Society, 01/09/2019)
      Through the application of machine learning techniques, this paper aims to estimate the importance of messages with ideological load during the elections held in Spain on May 24th, 2015 posted by Twitter’s users, as well ...
    • Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation 

      Asawa, Krishna; Manchanda, Priyanka (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2014)
      Multi-sensor information fusion is a rapidly developing research area which forms the backbone of numerous essential technologies such as intelligent robotic control, sensor networks, video and image processing and many ...
    • Review: machine learning techniques applied to cybersecurity 

      Martínez Torres, Javier (1); Iglesias Comesaña, Carla; García-Nieto, Paulino J. (International Journal of Machine Learning and Cybernetics, 10/2019)
      Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ...
    • Sistema de recomendación para nuevos usuarios de Airbnb 

      Pardo-Cuesta, Raquel (23/07/2019)
      Las recomendaciones de productos para nuevos usuarios de una compañía, problema conocido como cold start, supone nuevos métodos de inteligencia artificial para poder llevar a cabo la recomendación de un producto con ...
    • Step Characterization using Sensor Information Fusion and Machine Learning 

      Anacleto, Ricardo; Figueiredo, Lino (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      A pedestrian inertial navigation system is typically used to suppress the Global Navigation Satellite System limitation to track persons in indoor or in dense environments. However, low- cost inertial systems provide huge ...
    • Supporting academic decision making at higher educational institutions using machine learning-based algorithms 

      Nieto, Yuri; García-Díaz, Vicente; Montenegro, Carlos Enrique; González-Crespo, Rubén (1) (Soft Computing, 2018)
      Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...
    • Towards a Standard-based Domain-specific Platform to Solve Machine Learning-based Problems 

      Cueva-Lovelle, Juan Manuel; García-Díaz, Vicente; Pelayo G-Bustelo, Cristina; Pascual-Espada, Jórdan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      Machine learning is one of the most important subfields of computer science and can be used to solve a variety of interesting artificial intelligence problems. There are different languages, framework and tools to define ...