PhD Laura Morán Fernández  

Profesora axudante doutora (AXU-DR)

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 Feature selection, Machine learning
Research merits evaluation 1 six years period(s)
Contacto UDC directory
Orcid id0000-0001-6703-1846 ResearcherIDI-7902-2018 Scopus57205359013

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
Final Year Dissertation
Degree in Data Science and Engineering
0 4
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
0 4
Final Year Dissertation. Mention in Information Technology
Degree in Computer Engineering
0 1.5
Final Year Dissertation. Mention in Software Engineering
Degree in Computer Engineering
0 2.5
Master's Dissertation
Master in Bioinformatics for Health Sciences
0 5.5
Subject and involved studies Distance hours Total hours
Computer Science 0 30
Computer Science Preliminaries 0 10
Final Year Dissertation. Mention in Computer Science 0 1
Final Year Dissertation. Mention in Information Systems 0 0.5
Foundations of Artificial Intelligence 0 28
Knowledge Representation and Automatic Reasoning 0 42
Knowledge Representation and Reasoning 0 40
Large Scale Machine Learning 0 9
Programming II 0 48
Subject and involved studies Distance hours Total hours
Computer Science
Automation and Industrial Electronics Engineering
Degree in Electrical Engineering
Industrial Engineering
0 30
Computer Science Preliminaries
Degree in Computer Engineering
0 10
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
0 4
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 49
Large Scale Machine Learning
Degree in Data Science and Engineering
0 6
Programming II
Degree in Computer Engineering
0 77
Software Design
Degree in Computer Engineering
0 53
Subject and involved studies Distance hours Total hours
Computer Science
Automation and Industrial Electronics Engineering
Degree in Electrical Engineering
Industrial Engineering
0 30
Computer Science Preliminaries
Degree in Computer Engineering
0 10
Final Year Dissertation. Mention in Computer Science
Degree in Computer Engineering
0 4
Programming II
Degree in Computer Engineering
0 110
Software Design
Degree in Computer Engineering
0 63
Subject and involved studies Distance hours Total hours
Computer Science
Automation and Industrial Electronics Engineering
Degree in Electrical Engineering
Industrial Engineering
0 30
Computer Science Preliminaries
Degree in Computer Engineering
0 12
Programming II
Degree in Computer Engineering
0 98
Software Design
Degree in Computer Engineering
0 90
Subject and involved studies Distance hours Total hours
Computational Intelligence for High Dimensional Data
Master in Bioinformatics for Health Sciences
0 11
Computer Science
Automation and Industrial Electronics Engineering
Degree in Electrical Engineering
0 39
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
0 27
Programming II
Degree in Computer Engineering
0 143
Software Design
Degree in Computer Engineering
0 80

Defined tutoring by teacher for 2023/2024 academic course.

Faculty of Computer Science

Quarter Day Site
1st quarter Tuesday
09:30 a 11:30
vía Microsoft Teams
1st quarter Thursday
15:30 a 17:30
vía Microsoft Teams
2nd quarter Tuesday
10:30 a 12:30
D3.12 (Área Científica) o Teams
2nd quarter Thursday
15:30 a 17:30
D3.12 (Área Científica) o Teams

Research results

Select merit type and year to query research merits.

AXUDAS PARA A CONSOLIDACIÓN E ESTRUTURACIÓN DE UNIDADES DE INVESTIGACIÓN COMPETITIVAS.GRC 2022

Funding entity Consellería de Educación
Main researches Amparo Alonso Betanzos
Type Proyecto Programas Autonomicos
Dates From 01/01/2022 to 20/11/2025

Tutor de programación inteligente mediante robótica simulada

Funding entity Ministerio de Ciencia e Innovación
Main researches Francisco Javier Bellas Bouza (IP1) / Óscar Fontenla Romero (IP2)
Type Proyecto Programas Nacionales
Dates From 01/12/2022 to 30/11/2024

Algoritmos de selección de características verdes y rápidos

Funding entity Ministerio de Ciencia e Innovación
Main researches Verónica Bolón Canedo
Type Proyecto Programas Nacionales
Dates From 01/12/2022 to 30/11/2024

SMART PRE2: Inteligencia Artificial aplicada a la predicción y prevención de enfermedades profesionales

Funding entity Red.es
Main researches José Luis Calvo Rolle ; Óscar Fontenla Romero
Type Proyecto Programas Nacionales
Dates From 01/09/2022 to 30/04/2024

ASIMETRÍAS DE GÉNERO EN LA COMUNICACIÓN POLÍTICA DIGITAL. PRÁCTICAS, ESTRUCTURAS DE PODER Y VIOLENCIAS EN LA TUITESFERA ESPAÑOLA

Funding entity INSTITUTO DE LA MUJER. MINISTERIO DE IGUALDAD
Main researches María Teresa Piñeiro Otero
Type Proyecto Otros Programas
Dates From 01/01/2022 to 31/12/2023

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

How important is data quality? Best classifiers vs best features

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal Neurocomputing Vol. 470 (pages 365 to 375)

Machine Learning Methods for Predicting League of Legends Game Outcome

Authors Juan-Agustín Hitar-García, Laura Morán-Fernández, Verónica Bolón-Canedo
Journal IEEE Transactions on Games
DOI https://doi.org/10.1109/tg.2022.3153086

Low-precision feature selection on microarray data: an information theoretic approach

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING Vol. 60 (pages 1333 to 1345)
DOI https://doi.org/10.1007/s11517-022-02508-0

Feature selection with limited bit depth mutual information for portable embedded systems

Authors Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
Journal Knowledge-Based Systems Vol. 197
DOI https://doi.org/10.1016/j.knosys.2020.105885

Distributed classification based on distances between probability distributions in feature space

Authors Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José A. Vilar, Amparo Alonso-Betanzos
Journal Information Sciences Vol. 496 (pages 431 to 450)

On the use of different base classifiers in multiclass problems

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal PROGRESS IN ARTIFICIAL INTELLIGENCE Vol. 6 (pages 315 to 323)
DOI https://doi.org/10.1007/s13748-017-0126-4

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

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, 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, 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

On the use of different base classifiers in multiclass problems

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Journal PROGRESS IN ARTIFICIAL INTELLIGENCE Vol. 6 Num. 4 (pages 315 to 323)
DOI https://doi.org/10.1007/s13748-017-0126-4

A Review of Microarray Datasets: Where to Find Them and Specific characteristics

Authors Amparo Alonso-Betanzos. Verónica Bolón-Canedo. Laura Morán-Fernández. Noelia Sánchez-Maroño
Book Microarray Bioinformatics
Publishing: Springer.
ISBN: 978-1-4939-9441-0
Pages From 65 to 85

Feature selecion applied to microarray data

Authors Amparo Alonso-Betanzos. Verónica Bolón-Canedo. Laura Morán-Fernández. Borja Seijo-Pardo
Book Microarray Bioinformatics
Publishing: Springer.
ISBN: 978-1-4939-9441-0
Pages From 123 to 152

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. 137 Publishing: Springer - Verlag.
ISBN: 978-3-319-67512-1
Pages From 247 to 271

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

Feature selection for transfer learning using particle swarm optimization and complexity measures
30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022)
International

Authors Guillermo Castillo-García, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Brujas (Bélgica)
DOI https://doi.org/10.14428/esann/2022.es2022-57

Reduced precision discretization based on information theory
26th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2022)
International

Authors Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo
Organization KES International
Place Verona (Italia)
DOI https://doi.org/10.1016/j.procs.2022.09.144

Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?
International Work-Conference on Artificial Neural Networks (IWANN 2021). Lecture Notes in Computer Science
International

Authors Laura Morán-Fernández, Verónica Bolón-Canedo
Place Granada (España)

Do we need hundreds of classifiers of a good feature selection?
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2020)
International

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Bruselas (Bélgica)

When size matters: Markov Blanket with limited bit depth conditional mutual information
Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2020) - In conjunction with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)
International

Authors Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
Place Gante (Bélgica)

Feature selection with limited bit depth mutual information for embedded systems
XoveTIC 2018
Autonomous

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Organization Centro de Investigación en Tecnoloxías da Información e as Comunicacións (CITIC)
Place Coruña, A (España)

Análisis de algoritmos de cuantificación basados en ajuste de distribuciones
IX Simposio de Teoría y Aplicaciones de la Minería de Datos - CAEPIA
National

Authors Alberto Castaño, Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Granada (España)

A distributed approach for classi cation using distance metrics
25th European symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2017) .
International

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Brujas (Bélgica)

Data complexity measures for analyzing the effect of SMOTE over microarrays
25th European symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2017) .
International

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Brujas (Bélgica)

A distributed approach for classification using distance metrics
25th European symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2017) .
International

Authors Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Place Brujas (Bélgica)

Selection of the best base classi er in one-versus-one using data complexity measures
CAEPIA 2015. Conference of the Spanish Association for Artificial Intelligence.
International

Authors Amparo Alonso-Betanzos, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Albacete (España)

A time efficient approach for distributed feature selection partitioning by features
CAEPIA 2015. Conference of the Spanish Association for Artificial Intelligence.
International

Authors Amparo Alonso-Betanzos, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Albacete (España)

An insight on complexity measures and classi cation in micro- array data
IJCNN 2015 - 2015 International Joint Conference on Neural Networks
International

Authors Amparo Alonso-Betanzos, Laura Morán-Fernández, Verónica Bolón-Canedo
Place Killarney (Irlanda)
DOI https://doi.org/10.1109/ijcnn.2015.7280302

Positions

Academic or management positions held by teacher.

Xunta da Facultade de Informática

Vocal PDI

From 15/03/2023.

Consello do Departamento Ciencias da Computación e Tecnoloxías da Información

PDI (Membros Natos)

From 15/03/2023.

Consello do Departamento Ciencias da Computación e Tecnoloxías da Información

PDI (Membros Natos)

From 10/03/2021 to 14/03/2023.

Comité de Dirección de la EIDUDC

Representantes de los Estudiantes