Tipo de publicación: journal-article

A fuzzy rule-based system to predict energy consumption of genetic programming algorithms

Deep learning networks and ensembles for the treatment of high dimensionality and imbalance in supervised learning

Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU

MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments – A MapReduce Solution.

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

A first approach to face dimensionality reduction through denoising autoencoders

AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction

On the Impact of Imbalanced Data in Convolutional Neural Networks Performance

Uso de dispositivos FPGA como apoyo a la ensenanza de asignaturas de arquitectura de computadores

Generative Adversarial Networks for Improved Model Training in the Context of the Digital Twin