Laura Morán-Fernández

29 papers B 9C 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Breaking boundaries: Low-precision conditional mutual information for efficient feature selection.
Pattern Recognit.
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Verónica Bolón-Canedo
2025 — conf
Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained Devices.
ICANN (1)
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2025 — conf
Fast and Frugal Transfer Learning via Precomputed Features and Adaptive Normalization.
IDEAL (1)
Daniel Vila-Cruz, Verónica Bolón-Canedo, Laura Morán-Fernández
2025 J jnl
Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding.
Expert Syst. J. Knowl. Eng.
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2025 J jnl
ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals.
IEEE Trans. Learn. Technol.
Javier Ortega-Morla, Antonio Leis, Alma Mallo, Laura Morán-Fernández, Sara Guerreiro-Santalla, Alejandro Paz-Lopez, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, Oscar Fontenla-Romero, Francisco Bellas
2024 J jnl
A review of green artificial intelligence: Towards a more sustainable future.
Neurocomputing
Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
2024 J jnl
CUDA acceleration of MI-based feature selection methods.
J. Parallel Distributed Comput.
Bieito Beceiro, Jorge González-Domínguez, Laura Morán-Fernández, Verónica Bolón-Canedo, Juan Touriño
2024 J jnl
Finding a needle in a haystack: insights on feature selection for classification tasks.
J. Intell. Inf. Syst.
Laura Morán-Fernández, Verónica Bolón-Canedo
2024 C conf
Mutual Information-Based Feature Selection for Federated Learning Environments.
ICMLA
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2023 J jnl
Do all roads lead to Rome? Studying distance measures in the context of machine learning.
Pattern Recognit.
Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo
2023 B conf
Efficient feature selection for domain adaptation using Mutual Information Maximization.
ESANN
Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
2023 J jnl
Feature selection for domain adaptation using complexity measures and swarm intelligence.
Neurocomputing
Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
2023 B conf
Green Machine Learning.
ESANN
Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
2023 B conf
Logarithmic division for green feature selection: an information-theoretic approach.
ESANN
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2023 J jnl
Machine Learning Methods for Predicting League of Legends Game Outcome.
IEEE Trans. Games
Juan Agustín Hitar-García, Laura Morán-Fernández, Verónica Bolón-Canedo
2022 — ch.
Feature Selection: From the Past to the Future.
Advances in Selected Artificial Intelligence Areas
Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Laura Morán-Fernández, Brais Cancela
2022 B conf
Feature selection for transfer learning using particle swarm optimization and complexity measures.
ESANN
Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández
2022 J jnl
How important is data quality? Best classifiers vs best features.
Neurocomputing
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2022 B conf
Less is more: Low-precision feature selection for wearables.
IJCNN
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2022 J jnl
Low-precision feature selection on microarray data: an information theoretic approach.
Medical Biol. Eng. Comput.
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2022 B conf
Reduced precision discretization based on information theory.
KES
Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo
2021 — conf
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?
IWANN (1)
Laura Morán-Fernández, Verónica Bolón-Canedo
2020 B conf
Do we need hundreds of classifiers or a good feature selection?
ESANN
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2020 J jnl
Feature selection with limited bit depth mutual information for portable embedded systems.
Knowl. Based Syst.
Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
2020 — conf
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information.
IoT Streams/ITEM@PKDD/ECML
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
2019 J jnl
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci.
Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos
2017 B conf
A distributed approach for classification using distance metrics.
ESANN
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2016 B conf
Data complexity measures for analyzing the effect of SMOTE over microarrays.
ESANN
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2016 — conf
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures.
CAEPIA
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos