Publicaciones en las que colabora con Federico Divina (39)
2024
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A stacking ensemble learning for Iberian pigs activity prediction: a time series forecasting approach
AIMS Mathematics, Vol. 9, Núm. 5, pp. 13358-13384
2023
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Dataset of fundus images for the diagnosis of ocular toxoplasmosis
Data in Brief
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Evolutionary feature selection on high dimensional data using a search space reduction approach
Engineering Applications of Artificial Intelligence, Vol. 117
2022
2021
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A multi-GPU biclustering algorithm for binary datasets
Journal of Parallel and Distributed Computing, Vol. 147, pp. 209-219
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A trust-based methodology to evaluate deep learning models for automatic diagnosis of ocular toxoplasmosis from fundus images
Diagnostics, Vol. 11, Núm. 11
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Adjacent Inputs with Different Labels and Hardness in Supervised Learning
IEEE Access, Vol. 9, pp. 162487-162498
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Advanced optimization methods and big data applications in energy demand forecast
Applied Sciences (Switzerland)
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Analysis of Student Achievement Scores via Cluster Analysis
The 11th International Conference on EUropean Transnational Educational: (ICEUTE 2020)
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Analysis of student achievement scores via cluster analysis
Advances in Intelligent Systems and Computing
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Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images with Residual Neural Networks
Studies in health technology and informatics, Vol. 281, pp. 173-177
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Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility
PLoS Computational Biology, Vol. 17, Núm. 1 January
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Ocular Toxoplasmosis Fundus Images Dataset
Zenodo
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Ocular Toxoplasmosis Fundus Images Dataset
Zenodo
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Ocular Toxoplasmosis Fundus Images Dataset
Zenodo
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Scatter search for high-dimensional feature selection using feature grouping
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
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Technical analysis strategy optimization using a machine learning approach in stock market indices[Formula presented]
Knowledge-Based Systems, Vol. 225
2020
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A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactions
Genes, Vol. 11, Núm. 9, pp. 1-17
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Analysis of Student Achievement Scores: A Machine Learning Approach
Advances in Intelligent Systems and Computing