Laura Morán-Fernández

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Mutual Information

Feature Selection

Complexity Measures

Top Venues

IoT Streams/ITEM@PKDD/ECML

Publications

Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing 599 (2024)
Bieito Beceiro, Jorge González-Domínguez, Laura Morán-Fernández, Verónica Bolón-Canedo, Juan Touriño
CUDA acceleration of MI-based feature selection methods. J. Parallel Distributed Comput. 190 (2024)
Laura Morán-Fernández, Verónica Bolón-Canedo
Finding a needle in a haystack: insights on feature selection for classification tasks. J. Intell. Inf. Syst. 62 (2) (2024)
Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
Feature selection for domain adaptation using complexity measures and swarm intelligence. Neurocomputing 548 (2023)
Juan Agustín Hitar-García, Laura Morán-Fernández, Verónica Bolón-Canedo
Machine Learning Methods for Predicting League of Legends Game Outcome. IEEE Trans. Games 15 (2) (2023)
Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
Efficient feature selection for domain adaptation using Mutual Information Maximization. ESANN (2023)
Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
Green Machine Learning. ESANN (2023)
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
Logarithmic division for green feature selection: an information-theoretic approach. ESANN (2023)
Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo
Do all roads lead to Rome? Studying distance measures in the context of machine learning. Pattern Recognit. 141 (2023)
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
Less is more: Low-precision feature selection for wearables. IJCNN (2022)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
How important is data quality? Best classifiers vs best features. Neurocomputing 470 (2022)
Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo
Reduced precision discretization based on information theory. KES (2022)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Low-precision feature selection on microarray data: an information theoretic approach. Medical Biol. Eng. Comput. 60 (5) (2022)
Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández
Feature selection for transfer learning using particle swarm optimization and complexity measures. ESANN (2022)
Laura Morán-Fernández, Verónica Bolón-Canedo
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? IWANN (1) (2021)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Do we need hundreds of classifiers or a good feature selection? ESANN (2020)
Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
Feature selection with limited bit depth mutual information for portable embedded systems. Knowl. Based Syst. 197 (2020)
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information. IoT Streams/ITEM@PKDD/ECML (2020)
Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos
Distributed classification based on distances between probability distributions in feature space. Inf. Sci. 496 (2019)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
A distributed approach for classification using distance metrics. ESANN (2017)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Data complexity measures for analyzing the effect of SMOTE over microarrays. ESANN (2016)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures. CAEPIA (2016)