E-LIB Suche - Ergebnisse für: Gutiérrez Naranjo, Miguel Ángel

1

Deep Learning Applied to Intracranial Hemorrhage Detection:

Cortés-Ferre, Luis ; Gutiérrez-Naranjo, Miguel Angel ; Egea-Guerrero, Juan José..
Journal of Imaging. 9 (2023) 2 - p. 37 , 2023

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

2

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

Paluzo Hidalgo, Eduardo ; González Díaz, Rocío ; Gutiérrez Naranjo, Miguel Ángel
Neural Networks, 131, 29-36.. , 2023

Link: https://idus.us.es/handl..

3

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

González Díaz, Rocío ; Gutiérrez Naranjo, Miguel Ángel ; Paluzo Hidalgo, Eduardo
Neural Computing and Applications, May 2022. , 2022

Link: https://idus.us.es/handl..

4

An Approach to the Bio-Inspired Control of Self-reconfigura..:

Bie, Dongyang ; Gutiérrez Naranjo, Miguel Ángel ; Zhao, Jie.
BIC-TAC 2017: 12th International Conference on Bio-Inspired Computing: Theories and Applications (2017), pp. 24-38.. , 2021

Link: https://idus.us.es/handl..

5

ILP Operators for Propositional Connectionist Networks:

Gutiérrez Naranjo, Miguel Ángel ; Hitzler, Pascal
WLP 2002: Workshop Logische Programmierung (2002), pp. 103-108.. , 2021

Link: https://idus.us.es/handl..

6

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

Paluzo Hidalgo, Eduardo ; González Díaz, Rocío ; Gutiérrez Naranjo, Miguel Ángel.
Mathematics, 9(2) (169), 1-1-16-16.. , 2021

Link: https://idus.us.es/handl..

7

First Steps Towards a CPU Made of Spiking Neural P Systems:

Gutiérrez Naranjo, Miguel Ángel ; Leporati, Alberto
International Journal of Computers Communications and Control, 4 (3), 244-252.. , 2021

Link: https://idus.us.es/handl..

8

A Cellular Solution to Subset Sum Using Division of Non-ele..:

Díaz Pernil, Daniel ; Gutiérrez Naranjo, Miguel Ángel ; Pérez Jiménez, Mario de Jesús.
WMC 2007: 8th Workshop on Membrane Computing (2007), pp. 301-315.. , 2021

Link: https://idus.us.es/handl..

9

Some Notes on Membrane Computing and Image Processing:

Díaz Pernil, Daniel ; Gutiérrez Naranjo, Miguel Ángel ; Peng, Hong
The Bulletin of International Membrane Computing Society, 2 (December 2016), 103-128.. , 2021

Link: https://idus.us.es/handl..

10

Skeletonizing Digital Images with Cellular Automata:

Díaz Pernil, Daniel ; Peña Cantillana, Francisco ; Gutiérrez Naranjo, Miguel Ángel...
Cellular Automata in Image Processing and Geometry. , 2021

Link: https://idus.us.es/handl..

11

Searching Partially Bounded Regions with P Systems:

Christinal, Hepzibah A ; Berciano, Ainhoa ; Díaz Pernil, Daniel.
SocProS 2013: Third International Conference on Soft Computing for Problem Solving (2014), pp. 45-54.. , 2021

Link: https://idus.us.es/handl..

12

Logic Negation with Spiking Neural P Systems:

Rodríguez Chavarría, Daniel ; Gutiérrez Naranjo, Miguel Ángel ; Borrego Díaz, Joaquín
Neural Processing Letters, 52, 1583-1599.. , 2021

Link: https://idus.us.es/handl..

13

Recognizer P Systems with Antimatter:

Díaz Pernil, Daniel ; Alhazov, Artiom ; Freund, Rudolf..
Romanian Journal of Information Science and Technology (ROMJIST), 18 (3), 201-217.. , 2021

Link: https://idus.us.es/handl..

14

Optimizing the Simplicial-Map Neural Network Architecture:

Paluzo Hidalgo, Eduardo ; González Díaz, Rocío ; Gutiérrez Naranjo, Miguel Ángel.
Journal of Imaging, 7 (9). , 2021

Link: https://idus.us.es/handl..

15

A membrane computing framework for self-reconfigurable robo..:

Bie, Dongyang ; Gutiérrez Naranjo, Miguel Ángel ; Zhao, Jie.
Natural Computing, 18 (3), 635-646.. , 2021

Link: https://idus.us.es/handl..