David Becerra-Alonso

Orcid: 0000-0001-5174-7743

According to our database1, David Becerra-Alonso authored at least 14 papers between 2010 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals.
IEEE Access, 2022

Comparison Between SVM and DistilBERT for Multi-label Text Classification of Scientific Papers Aligned with Sustainable Development Goals.
Proceedings of the Advances in Computational Intelligence, 2022

2021
Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

2020
Negative correlation learning in the extreme learning machine framework.
Neural Comput. Appl., 2020

Analysis of Student Achievement Scores via Cluster Analysis.
Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020

2019
Regularized ensemble neural networks models in the Extreme Learning Machine framework.
Neurocomputing, 2019

Analysis of Student Achievement Scores: A Machine Learning Approach.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2018
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Global Sensitivity Estimates for Neural Network Classifiers.
IEEE Trans. Neural Networks Learn. Syst., 2017

A two dimensional accuracy-based measure for classification performance.
Inf. Sci., 2017

2012
Evolutionary Extreme Learning Machine for Ordinal Regression.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers.
Proceedings of the Advances in Computational Intelligence, 2011

Numerical variable reconstruction from ordinal categories based on probability distributions.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
Deterministic chaos in Malkus' waterwheel.
PhD thesis, 2010


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