Francisco Javier Pulgar

Orcid: 0000-0003-3558-3990

According to our database1, Francisco Javier Pulgar authored at least 8 papers between 2016 and 2021.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2021
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders.
Inf. Sci., 2021

2020
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines.
Inf. Fusion, 2020

2019
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction.
Int. J. Comput. Intell. Syst., 2019

2018
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst., 2017

A Transformation Approach Towards Big Data Multilabel Decision Trees.
Proceedings of the Advances in Computational Intelligence, 2017

On the Impact of Imbalanced Data in Convolutional Neural Networks Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

2016
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016


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