Samuel Suárez Marcote  

Contratado predoutoral (PC-PD)

Department Computer Science and Information Technologies
Knowledgment area Computational Science and Artificial Intelligence
Research  Research group Laboratorio de Investigación y Desarrollo en Inteligencia Artificial
Research lines No data available from Curriculum Management System at UDC. (SUXI).
Contacto UDC directory

Teaching

Subjects taught

This section shows the teaching given in degrees, masters and other officers studies in last 6 years.

Subject and involved studies Distance hours Total hours
Computer Science Preliminaries
Degree in Computer Engineering
0 10
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
0 8
Programming II
Degree in Computer Engineering
0 42
Subject and involved studies Distance hours Total hours
Fundamentals of Computing Science 0 14
Programming II 0 46

Defined tutoring by teacher for 2023/2024 academic course.

Faculty of Computer Science

Quarter Day Site
2nd quarter Tuesday
11:30 a 13:30
Laboratorio 3.2
2nd quarter Thursday
09:00 a 10:30
Laboratorio 3.2

EOG works and final master thesis directed

No available EOG works or final master thesis directed by current teacher since 2013 year.

Research results

Select merit type and year to query research merits.

Less is more: Low-precision feature selection for wearables
International Joint Conference on Neural Networks (IJCNN 2022)
International

Authors Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Padua (Italia)
DOI https://doi.org/10.1109/ijcnn55064.2022.9892143