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2020 – today
- 2025
[j15]Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding. Expert Syst. J. Knowl. Eng. 42(3) (2025)- [j14]Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Verónica Bolón-Canedo:
Breaking boundaries: Low-precision conditional mutual information for efficient feature selection. Pattern Recognit. 162: 111375 (2025) - 2024
- [j13]Verónica Bolón-Canedo
, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos:
A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing 599: 128096 (2024) - [j12]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): 459-483 (2024) - [j11]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: 104901 (2024) - 2023
- [j10]Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo:
Feature selection for domain adaptation using complexity measures and swarm intelligence. Neurocomputing 548: 126422 (2023) - [j9]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: 109646 (2023) - [j8]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): 171-181 (2023) - [c14]Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos:
Green Machine Learning. ESANN 2023 - [c13]Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo:
Efficient feature selection for domain adaptation using Mutual Information Maximization. ESANN 2023 - [c12]Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Logarithmic division for green feature selection: an information-theoretic approach. ESANN 2023 - 2022
- [j7]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
How important is data quality? Best classifiers vs best features. Neurocomputing 470: 365-375 (2022) - [j6]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): 1333-1345 (2022) - [c11]Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández:
Feature selection for transfer learning using particle swarm optimization and complexity measures. ESANN 2022 - [c10]Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Less is more: Low-precision feature selection for wearables. IJCNN 2022: 1-8 - [c9]Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo:
Reduced precision discretization based on information theory. KES 2022: 887-896 - [p1]Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Laura Morán-Fernández, Brais Cancela:
Feature Selection: From the Past to the Future. Advances in Selected Artificial Intelligence Areas 2022: 11-34 - 2021
- [c8]Laura Morán-Fernández, Verónica Bolón-Canedo:
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? IWANN (1) 2021: 113-125 - 2020
- [j5]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: 105885 (2020) - [c7]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Do we need hundreds of classifiers or a good feature selection? ESANN 2020: 399-404 - [c6]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: 243-255
2010 – 2019
- 2019
- [j4]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: 431-450 (2019) - 2017
- [j3]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Can classification performance be predicted by complexity measures? A study using microarray data. Knowl. Inf. Syst. 51(3): 1067-1090 (2017) - [j2]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Centralized vs. distributed feature selection methods based on data complexity measures. Knowl. Based Syst. 117: 27-45 (2017) - [j1]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
On the use of different base classifiers in multiclass problems. Prog. Artif. Intell. 6(4): 315-323 (2017) - [c5]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A distributed approach for classification using distance metrics. ESANN 2017 - 2016
- [c4]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: 110-120 - [c3]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Data complexity measures for analyzing the effect of SMOTE over microarrays. ESANN 2016 - 2015
- [c2]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features. CAEPIA 2015: 245-254 - [c1]Verónica Bolón-Canedo, Laura Moran-Fernandez, Amparo Alonso-Betanzos:
An insight on complexity measures and classification in microarray data. IJCNN 2015: 1-8
Coauthor Index
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last updated on 2025-03-08 00:55 CET by the dblp team
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