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Gutiérrez-Naranjo, Miguel A.
593  Ergebnisse:
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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/..
 
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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..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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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