Laura Moran-Fernandez
Orcid: 0000-0001-6703-1846
According to our database1,
Laura Moran-Fernandez
authored at least 30 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding.
Expert Syst. J. Knowl. Eng., March, 2025
Breaking boundaries: Low-precision conditional mutual information for efficient feature selection.
Pattern Recognit., 2025
2024
Finding a needle in a haystack: insights on feature selection for classification tasks.
J. Intell. Inf. Syst., April, 2024
J. Parallel Distributed Comput., 2024
Neurocomputing, 2024
2023
Do all roads lead to Rome? Studying distance measures in the context of machine learning.
Pattern Recognit., September, 2023
IEEE Trans. Games, June, 2023
Feature selection for domain adaptation using complexity measures and swarm intelligence.
Neurocomputing, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Efficient feature selection for domain adaptation using Mutual Information Maximization.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
Low-precision feature selection on microarray data: an information theoretic approach.
Medical Biol. Eng. Comput., 2022
Neurocomputing, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Feature selection for transfer learning using particle swarm optimization and complexity measures.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the Advances in Selected Artificial Intelligence Areas, 2022
2021
Proceedings of the Advances in Computational Intelligence, 2021
2020
Feature selection with limited bit depth mutual information for portable embedded systems.
Knowl. Based Syst., 2020
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci., 2019
2017
Prog. Artif. Intell., 2017
Centralized vs. distributed feature selection methods based on data complexity measures.
Knowl. Based Syst., 2017
Can classification performance be predicted by complexity measures? A study using microarray data.
Knowl. Inf. Syst., 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features.
Proceedings of the Advances in Artificial Intelligence, 2015