Publicaciones (70) Publicaciones de Vicente Garcia Diaz

2020

  1. A CNN-based Stock Price Trend Prediction with Futures and Historical Price

    Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020

  2. A Fundamental Overview of Different Algorithms and Performance Optimization for Swarm Intelligence

    Swarm Intelligence Optimization: Algorithms and Applications (wiley), pp. 1-19

  3. A Review on Intrusion Detection Systems and Techniques

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 28, Núm. Supp02, pp. 65-91

  4. A case study for a big data and machine learning platform to improve medical decision support in population health management

    Algorithms, Vol. 13, Núm. 4

  5. A holistic methodology for improved RFID network lifetime by advanced cluster head selection using dragonfly algorithm

    IJIMAI, Vol. 6, Núm. 2, pp. 48-55

  6. A novel hybrid approach of SVM combined with NLP and probabilistic neural network for email phishing

    International Journal of Electrical and Computer Engineering, Vol. 10, Núm. 1, pp. 486-493

  7. An artificial neural network approach for predicting hypertension using NHANES data

    Scientific Reports, Vol. 10, Núm. 1

  8. Decentralized navigation model for multiagent cooperative robotic systems

    Journal of Ambient Intelligence and Smart Environments, Vol. 12, Núm. 6, pp. 547-548

  9. Editor’s Note

    IJIMAI, Vol. 6, Núm. 4, pp. 4-6

  10. JGraphs: A Toolset to Work with Monte-Carlo Tree Search-Based Algorithms

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 28, Núm. Supp02, pp. 1-22

  11. Mejora de la coordinación de las asignaturas a través de la generación automática de actas basadas en la comunicación vía email

    Revista de innovación y buenas prácticas docentes, Vol. 9, Núm. 2, pp. 82-91

  12. Midgar: Creation of a Graphic Domain-Specific Language to Generate Smart Objects for Internet of Things Scenarios Using Model-Driven Engineering

    IEEE Access, Vol. 8, pp. 141872-141894

  13. Performance estimation of machine learning algorithms in the factor analysis of COVID-19 dataset

    Computers, Materials and Continua, Vol. 66, Núm. 2, pp. 1921-1936