According to our database1, Laura Moran-Fernandez authored at least 8 papers between 2015 and 2017.
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On the use of different base classifiers in multiclass problems.
Progress in AI, 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
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
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