Research output per year
Research output per year
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.
Fingerprint
Dive into the research topics where Artificial Intelligence and Facial Recognition Research Group (GIIAR) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
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