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Ricardo F. Alvear-Sandoval

R. F. Alvear-Sandoval

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Journal Articles

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2020
[j4]
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  - journals/inffus/TabikARSFH20
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Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal. Inf. Fusion 62: 73-80 (2020)
2019
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Ricardo F. Alvear-Sandoval, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal:
On improving CNNs performance: The case of MNIST. Inf. Fusion 52: 106-109 (2019)
2018
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Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal:
On building ensembles of stacked denoising auto-encoding classifiers and their further improvement. Inf. Fusion 39: 41-52 (2018)
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Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal:
On building ensembles of stacked denoising auto-encoding classifiers and their further improvement - a correction. Inf. Fusion 40: 126 (2018)

Conference and Workshop Papers

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2016
[c3]
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Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal:
An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers. ESANN 2016
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  - conf/mlsp/Montoya-CatalaA16
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Manuel Montoya-Catala, Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal:
Experiments in combining boosting and deep stacked networks. MLSP 2016: 1-6
2015
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R. F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal:
Does diversity improve deep learning? EUSIPCO 2015: 2496-2500

Informal and Other Publications

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2020
[i1]
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  - journals/corr/abs-2001-11486
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Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error. CoRR abs/2001.11486 (2020)

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