Artificial Intelligence and Facial Recognition Research Group (GIIAR)

  • Ecuador

Organization profile

Organization profile

The Artificial Intelligence Research Group (GIIAR) aims to develop technological proposals that include the creation of embedded software solutions and the Internet of Things (IoT), based on a theoretical deepening of the techniques of Machine Learning, Computer Vision and Natural Language Processing, which are of fundamental interest to the society of Guayaquil.

In addition, the methodology for the transfer of the results will be designed in a simple and safe way. The development of the research will make it possible to enter into the change of the productive matrix contributing to eliminate the tendency to import technology from developed countries.

Coordinator:

Miguel Angel Quiroz, Ph.D.

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    Projects

    Research Output

    Análisis comparativo para seleccionar una herramienta de reconocimiento de emociones aplicando el modelo AHP

    Translated title of the contribution: Comparative analysis to select an emotion recognition tool applying the AHP modelQuiroz Martinez, M. A., 13 Jun 2019, In : UNIANDES - Episteme. 6, 3, p. 453-463

    Research output: Contribution to journalArticle

  • Análisis de algoritmos de detección de objetos para la creación de un prototipo basado en la fusión de dos modelos de reconocimiento

    Translated title of the contribution: Analysis of object detection algorithms for the creation of a prototype based on the fusion of two recognition modelsQuiroz Martinez, M. A., 29 Mar 2019, In : ProSciences - Revista de Producción, Ciencias e Investigación. 3, 20, 6 p.

    Research output: Contribution to journalArticle

  • Analysis of e-government strategy implementation in Ecuador

    Valverde Landívar, G. E., 1 Jan 2019, Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Botto-Tobar, M., D’Armas, M., Zúñiga Sánchez, M., Zúñiga-Prieto, M. & Pizarro, G. (eds.). Springer Verlag, p. 697-706 10 p. (Communications in Computer and Information Science; vol. 895).

    Research output: Chapter in Book/Report/Conference proceedingChapter