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1

Using deep learning for predicting the dynamic evolution of..:

Garcia-Moreno, Francisco M. ; Ruiz-Espigares, Jesús ; Gutiérrez-Naranjo, Miguel A..
Computers in Biology and Medicine. 180 (2024) - p. 108890 , 2024

Link: https://doi.org/10.1016/..

2

An in-depth analysis of data reduction methods for sustaina..:

Perera-Lago, Javier ; Toscano-Duran, Victor ; Paluzo-Hidalgo, Eduardo...
Open Research Europe. 4 (2024) - p. 101 , 2024

Link: https://doi.org/10.12688..

3

Trainable and explainable simplicial map neural networks:

Paluzo-Hidalgo, Eduardo ; Gonzalez-Diaz, Rocio ; Gutiérrez-Naranjo, Miguel A.
Information Sciences. 667 (2024) - p. 120474 , 2024

Link: https://doi.org/10.1016/..

4

Topology-based representative datasets to reduce neural net..:

Gonzalez-Diaz, Rocio ; Gutiérrez-Naranjo, Miguel A. ; Paluzo-Hidalgo, Eduardo
Neural Computing and Applications. 34 (2022) 17 - p. 14397-14413 , 2022

Link: https://doi.org/10.1007/..

5

Evolutionary game theory in a cell: A membrane computing ap..:

García-Victoria, Pedro ; Cavaliere, Matteo ; Gutiérrez-Naranjo, Miguel A..
Information Sciences. 589 (2022) - p. 580-594 , 2022

Link: https://doi.org/10.1016/..

6

ALLERDET: A novel web app for prediction of protein allerge..:

Garcia-Moreno, Francisco M. ; Gutiérrez-Naranjo, Miguel A.
Journal of Biomedical Informatics. 135 (2022) - p. 104217 , 2022

Link: https://doi.org/10.1016/..

7

PBIL for optimizing inception module in convolutional neura..:

García-Victoria, Pedro ; Gutiérrez-Naranjo, Miguel A ; Cárdenas-Montes, Miguel.
Logic Journal of the IGPL. 31 (2022) 2 - p. 325-337 , 2022

Link: https://doi.org/10.1093/..

8

Simplicial-Map Neural Networks Robust to Adversarial Exampl..:

Paluzo-Hidalgo, Eduardo ; Gonzalez-Diaz, Rocio ; Gutiérrez-Naranjo, Miguel A..
Mathematics. 9 (2021) 2 - p. 169 , 2021

Link: https://doi.org/10.3390/..

9

Optimizing the Simplicial-Map Neural Network Architecture:

Paluzo-Hidalgo, Eduardo ; Gonzalez-Diaz, Rocio ; Gutiérrez-Naranjo, Miguel A..
Journal of Imaging. 7 (2021) 9 - p. 173 , 2021

Link: https://doi.org/10.3390/..

10

Two-hidden-layer feed-forward networks are universal approx..:

Paluzo-Hidalgo, Eduardo ; Gonzalez-Diaz, Rocio ; Gutiérrez-Naranjo, Miguel A.
Neural Networks. 131 (2020) - p. 29-36 , 2020

Link: https://doi.org/10.1016/..

11

Logic Negation with Spiking Neural P Systems:

Rodríguez-Chavarría, Daniel ; Gutiérrez-Naranjo, Miguel A. ; Borrego-Díaz, Joaquín
Neural Processing Letters. 52 (2020) 2 - p. 1583-1599 , 2020

Link: https://doi.org/10.1007/..

12

PBIL for Optimizing Hyperparameters of Convolutional Neural..:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,

Vasco-Carofilis, Roberto A. ; Gutiérrez-Naranjo, Miguel A. ; Cárdenas-Montes, Miguel - p. 147-159 , 2020

Link: https://doi.org/10.1007/..

13

Membrane computing and image processing: a short survey:

Díaz-Pernil, Daniel ; Gutiérrez-Naranjo, Miguel A. ; Peng, Hong
Journal of Membrane Computing. 1 (2019) 1 - p. 58-73 , 2019

Link: https://doi.org/10.1007/..

14

Semantics of deductive databases with spiking neural P syst..:

Díaz-Pernil, Daniel ; Gutiérrez-Naranjo, Miguel A.
Neurocomputing. 272 (2018) - p. 365-373 , 2018

Link: https://doi.org/10.1016/..

15

Solving the 3-COL problem by using tissue P systems without..:

Díaz-Pernil, Daniel ; Christinal, Hepzibah A. ; Gutiérrez-Naranjo, Miguel A.
Information Sciences. 430-431 (2018) - p. 240-246 , 2018

Link: https://doi.org/10.1016/..

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