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 0 10
Fundamentals of Computing Science 0 8
Programming II 0 13
Software Design 0 29
Subject and involved studies Distance hours Total hours
Fundamentals of Computing Science
Degree in Nanoscience and Nanotechnology
0 14
Programming II
Degree in Computer Engineering
0 46

Defined tutoring by teacher for 2024/2025 academic course.

Faculty of Computer Science

Quarter Day Site
2nd quarter Tuesday
11:30 a 13:30
Laboratorio 3.2
2nd quarter Thursday
11:30 a 13:30
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.

Towards federated feature selection: Logarithmic division for resource-conscious methods

Authors Samuel Suárez-Marcote, Laura Morán-Fernández, V. Bolón-Canedo
Journal Neurocomputing

Selección de características eficiente en entornos federados
XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024)
National

Authors Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Coruña, A (España)

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