Laura Morán Fernández  

(INT-SU)

Department Computer Science
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 Total hours
Computational Intelligence for High Dimensional Data 21
Computer Science Preliminaries 12
Human Machine Interfaces 60
Intelligent Systems 95
Software Design 34
Subject and involved studies Total hours
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
28
Programming II
Degree in Computer Engineering
127

Defined tutoring by teacher for 2018/2019 academic course.

Faculty of Computer Science

Quarter Day Site
1st quarter Monday
16:00 a 18:00
Laboratorio 3.2
1st quarter Tuesday
10:00 a 12:00
Laboratorio 3.2
1st quarter Friday
10:00 a 12:00
Laboratorio 3.2
2nd quarter Monday
16:00 a 18:00
Laboratorio 3.2
2nd quarter Thursday
09:30 a 11:30
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.

Axudas para a consolidación e estruturación de unidades de investigación competitivas.GRC

Funding entity Consellería de Cultura, Educación e Ordenación Universitaria
Main researches Amparo Alonso Betanzos
Type Proyecto Programas Autonomicos
Dates From 01/01/2019 to 20/11/2021

On the use of different base classi ers in multiclass problems

Authors María Amparo Alonso Betanzos, Verónica Bolón Canedo, Laura Morán Fernández
Journal PROGRESS IN ARTIFICIAL INTELLIGENCE

Centralized vs. distributed feature selection methods based on data complexity measures

Authors Laura Morán Fernández, Verónica Bolón Canedo, María Amparo Alonso Betanzos
Journal Knowledge-Based Systems Vol. 117 (pages 27 to 45)
DOI https://doi.org/10.1016/j.knosys.2016.09.022

Can classi cation performance be predicted by complexity measures? A study using microarray data.

Authors A. Alonso-Betanzos, Verónica Bolón Canedo, Laura Morán Fernández
Journal KNOWLEDGE AND INFORMATION SYSTEMS Vol. 51 (pages 1067 to 1090)
DOI https://doi.org/10.1007/s10115-016-1003-3

Can classification performance be predicted by complexity measures? A study using microarray data

Authors Laura Morán Fernández, Verónica Bolón Canedo, María Amparo Alonso Betanzos
Journal KNOWLEDGE AND INFORMATION SYSTEMS Vol. 51 Num. 3 (pages 1067 to 1090)
DOI https://doi.org/10.1007/s10115-016-1003-3

Preprocessing in high dimensional datasets

Authors A. Alonso-Betanzos. Verónica Bolón Canedo. Carlos Eiras Franco. Laura Morán Fernández. Borja Seijo Pardo
Book Advances in Biomedical Informatics
Vol. 139 Publishing: Springer - Verlag.
ISBN: 978-3-319-67512-1
Pages From 145 to 195

Positions

Academic or management positions held by teacher.

Comité de Dirección de la EIDUDC

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