Laura Moran-Fernandez

Orcid: 0000-0001-6703-1846

According to our database1, Laura Moran-Fernandez authored at least 22 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Do all roads lead to Rome? Studying distance measures in the context of machine learning.
Pattern Recognit., September, 2023

Machine Learning Methods for Predicting League of Legends Game Outcome.
IEEE Trans. Games, June, 2023

Feature selection for domain adaptation using complexity measures and swarm intelligence.
Neurocomputing, 2023

2022
Low-precision feature selection on microarray data: an information theoretic approach.
Medical Biol. Eng. Comput., 2022

How important is data quality? Best classifiers vs best features.
Neurocomputing, 2022

Reduced precision discretization based on information theory.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Less is more: Low-precision feature selection for wearables.
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

Feature Selection: From the Past to the Future.
Proceedings of the Advances in Selected Artificial Intelligence Areas, 2022

2021
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?
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

Do we need hundreds of classifiers or a good feature selection?
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
On the use of different base classifiers in multiclass problems.
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

A distributed approach for classification using distance metrics.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Data complexity measures for analyzing the effect of SMOTE over microarrays.
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
An insight on complexity measures and classification in microarray data.
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


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