Mostrando ítems 1-20 de 28

    • 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 real-life machine learning experience for predicting university dropout at different stages using academic data 

      Fernández-García, Antonio Jesús (1); Preciado, Juan Carlos; Melchor, Fran; Rodriguez-Echeverría, Roberto; Conejero Manzano, José María; Sánchez, Fernando (Institute of Electrical and Electronics Engineers Inc., 2021)
      High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ...
    • A Review on Intrusion Detection Systems and Techniques 

      Singh Bhati, Nitesh; Khari, Manju; García-Díaz, Vicente; Verdú, Elena (1) (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)
      An Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is ...
    • A systematic review of the effects of automatic scoring and automatic feedback in educational settings 

      Guerra Hahn, Marcelo (1); Baldiris, Silvia (1); De la Fuente-Valentin, Luis (1); Burgos, Daniel (1) (Institute of Electrical and Electronics Engineers Inc., 2021)
      Automatic scoring and feedback tools have become critical components of online learning proliferation. These tools range from multiple-choice questions to grading essays using machine learning (ML). Learning environments ...
    • 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 ...
    • 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 ...
    • An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks 

      Sahoo, Kshira Sagar; Tripathy, Bata Krishna; Naik, Kshirasagar; Ramasubbareddy, Somula; Balusamy, Balamurugan; Khari, Manju; Burgos, Daniel (1) (IEEE ACCESS, 2020)
      Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ...
    • 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 ...
    • Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems 

      Yin, Xinzhe; Li, Jinghua; Nimer Kadry, Seifedine; Sanz Prieto, Iván (1) (Environmental Impact Assessment Review, 01/2021)
      The environmental restoration of terrestrial ecosystems helps to protect the natural world and enhances sustainable land resource development. Modern and efficient approaches for the conservation of ecological functions ...
    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer-Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu'ath; Jan, Atif; Saleem, Nasir; Verdú, Elena (1); Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence, 2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
    • Building a dataset through attack pattern modeling and analysis system 

      Bermejo Higuera, Juan Ramón (1); Bermejo-Higuera, Javier (1); Tébar García, Juan Luis (1); Sicilia, Juan Antonio (1); Sánchez Rubio, Manuel (1) (Elsevier Ltd, 2021)
      The different types of cyber-attacks on information and telecommunications systems are becoming increasingly sophisticated and complex, with several defined phases (attack pattern). Therefore, it is necessary to research ...
    • 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 ...
    • Connection between sleeping patterns and cognitive deterioration in women with Alzheimer’s disease 

      Corbi, Alberto (1); Burgos, Daniel (1) (Springer Science and Business Media Deutschland GmbH, 2022)
      Background: Alzheimer’s disease (AD) causes symptoms such as dementia, memory loss, disorientation, and even aggressiveness, and is more common in women than in men. AD may also manifest itself in changes in sleep patterns. ...
    • Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision 

      Fernández-García, Antonio Jesús (1); Rodríguez-Echeverría, Roberta; Preciado, Juan Carlos; Conejero Manzano, José María; Sánchez-Figueroa, Fernando (IEEE Access, 2020)
      Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ...
    • Detecting Malware in Cyberphysical Systems Using Machine Learning: a Survey 

      Montes, F. (1); Bermejo-Higuera, Javier (1); Sanchez, L. E.; Bermejo Higuera, Juan Ramón (1); Sicilia, Juan Antonio (1) (KSII transactions on internet and information systems, 2021)
      Among the scientific literature, it has not been possible to find a consensus on the definition of the limits or properties that allow differentiating or grouping the cyber-physical systems (CPS) and the Internet of Things ...
    • 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 ...
    • Impacto de las emociones vertidas por diarios digitales en Twitter 

      Arce García, Sergio (1); Orviz Martínez, Natalia (1); Cuervo Carabel, Tatiana (1) (Profesional de la Información, 09/2020)
      The use of Twitter by newspapers is widespread and is a way to keep readers informed in real time. In this article, we analyze the discourse of the messages released by the ten main general information newspapers in Spain ...
    • Machine Learning and Student Activity to Predict Academic Grades in Online Settings in Latam 

      Moreno-Ger, Pablo (1); Burgos, Daniel (1) (Springer Science and Business Media Deutschland GmbH, 2021)
      In the past few years, interest in applying intelligent data-mining techniques to educational datasets has increased rapidly, with goals ranging from identifying students who need further support to being able to infer or ...
    • Mining Pre-Grade Academic and Demographic Data to Predict University Dropout 

      Martínez Navarro, Álvaro; Verdú, Elena (1); Moreno-Ger, Pablo (1) (Springer Science and Business Media Deutschland GmbH, 2021)
      Digital transformation is enabling institutions to enhance their processes by using data and technology. In education, digital transformation allows improving the learning experience as well as the institution processes. ...
    • 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 ...