Artificial Intelligence and Facial Recognition Research Group (GIIAR)

Address

  • Ecuador

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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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  • A framework for selecting classification models in the intruder detection system using topsis

    Martinez, M. A. Q., Leon Rugel, D. T., Espinoza Alcivar, C. J. & Vazquez, M. Y. L., 2021, Human Interaction, Emerging Technologies and Future Applications III - Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020. Ahram, T., Taiar, R., Langlois, K. & Choplin, A. (eds.). Springer, p. 173-179 7 p. (Advances in Intelligent Systems and Computing; vol. 1253 AISC).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • A Framework for Selecting Machine Learning Models Using TOPSIS

    Vazquezl, M. Y. L., Briones Peñafiel, L. A., Sanchez Muñoz, S. X. & Martinez, M. A. Q., 2021, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. Ahram, T. (ed.). Springer, p. 119-126 8 p. (Advances in Intelligent Systems and Computing; vol. 1213 AISC).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Decision Model for QoS in Networking Based on Hierarchical Aggregation of Information

    Leyva Vazquez, M. Y., Quiroz Martinez, M. A., Diaz Sanchez, J. H. & Aguilera Balseca, J. L., 2021, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. Ahram, T. (ed.). Springer, p. 361-368 8 p. (Advances in Intelligent Systems and Computing; vol. 1213 AISC).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review