Ricardo F. Alvear-Sandoval

According to our database, Ricardo F. Alvear-Sandoval authored at least 8 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal.

Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera

Inf. Fusion, 2020

A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error.

Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera

CoRR, 2020

2019

On improving CNNs performance: The case of MNIST.

Ricardo F. Alvear-Sandoval, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal

Inf. Fusion, 2019

2018

On building ensembles of stacked denoising auto-encoding classifiers and their further improvement - a correction.

Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal

Inf. Fusion, 2018

On building ensembles of stacked denoising auto-encoding classifiers and their further improvement.

Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal

Inf. Fusion, 2018

2016

Experiments in combining boosting and deep stacked networks.

Manuel Montoya-Catala, Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers.

Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Does diversity improve deep learning?

R. F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal

Proceedings of the 23rd European Signal Processing Conference, 2015