Miguel A. Gutiérrez Naranjo

Miguel A. Gutiérrez Naranjo

Universidad de Sevilla

H-index: 25

Europe-Spain

About Miguel A. Gutiérrez Naranjo

Miguel A. Gutiérrez Naranjo, With an exceptional h-index of 25 and a recent h-index of 12 (since 2020), a distinguished researcher at Universidad de Sevilla, specializes in the field of Computer Science, Artificial Intelligence, Natural Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

SIMAP: A simplicial-map layer for neural networks

An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning

Trainable and explainable simplicial map neural networks

A Membrane Computing Approach to the Generalized Nash Equilibrium

Prediction of head and neck cancer with Deep Active Learning

The metric-aware kernel-width choice for LIME

Explainability in Simplicial Map Neural Networks

PBIL for optimizing inception module in convolutional neural networks

Miguel A. Gutiérrez Naranjo Information

University

Position

___

Citations(all)

2168

Citations(since 2020)

640

Cited By

1828

hIndex(all)

25

hIndex(since 2020)

12

i10Index(all)

58

i10Index(since 2020)

14

Email

University Profile Page

Universidad de Sevilla

Google Scholar

View Google Scholar Profile

Miguel A. Gutiérrez Naranjo Skills & Research Interests

Computer Science

Artificial Intelligence

Natural Computing

Top articles of Miguel A. Gutiérrez Naranjo

Title

Journal

Author(s)

Publication Date

SIMAP: A simplicial-map layer for neural networks

arXiv preprint arXiv:2403.15083

Rocio GonzalezDiaz

Miguel A Gutiérrez-Naranjo

Eduardo Paluzo-Hidalgo

2024/3

An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning

arXiv preprint arXiv:2403.15150

Víctor Toscano-Durán

Javier Perera-Lago

Rocio Paluzo-Hidalgo

Eduardo

Gonzalez-Diaz

...

2024/3

Trainable and explainable simplicial map neural networks

Information Sciences

Eduardo Paluzo-Hidalgo

Miguel A. Gutiérrez-Naranjo

Rocio Gonzalez-Diaz

2024/5

A Membrane Computing Approach to the Generalized Nash Equilibrium

arXiv preprint arXiv:2404.17671

Alejandro Luque-Cerpa

Miguel A Gutiérrez-Naranjo

2024/4/26

Prediction of head and neck cancer with Deep Active Learning

Enrique Arroyo Escribano

Miguel Angel Gutiérrez Naranjo

Miguel Cárdenas Montes

2023/1/8

The metric-aware kernel-width choice for LIME

Aurelio Barrera Vicen

Eduardo Paluzo Hidalgo

Miguel Ángel Gutiérrez Naranjo

2023

Explainability in Simplicial Map Neural Networks

arXiv preprint arXiv:2306.00010

Eduardo Paluzo-Hidalgo

Miguel A Gutiérrez-Naranjo

Rocio Gonzalez-Diaz

2023/5/29

PBIL for optimizing inception module in convolutional neural networks

Logic Journal of the IGPL

Pedro García-Victoria

Miguel A Gutiérrez-Naranjo

Miguel Cárdenas-Montes

Roberto A Vasco-Carofilis

2023/4

Deep learning applied to intracranial hemorrhage detection

Journal of Imaging

Luis Cortés-Ferre

Miguel Angel Gutiérrez-Naranjo

Juan José Egea-Guerrero

Soledad Pérez-Sánchez

Marcin Balcerzyk

2023/2/7

Dynamic Price of Parking Service based on Deep Learning

arXiv preprint arXiv:2201.04188

Alejandro Luque-Cerpa

Miguel A Gutiérrez-Naranjo

Miguel Cárdenas-Montes

2022/1/11

ALLERDET: a novel web app for prediction of protein allergenicity

Journal of Biomedical Informatics

Francisco M Garcia-Moreno

Miguel A Gutiérrez-Naranjo

2022/11/1

Topology-based representative datasets to reduce neural network training resources

Neural Computing and Applications

Rocio Gonzalez-Diaz

Miguel A Gutiérrez-Naranjo

Eduardo Paluzo-Hidalgo

2022/9

Evolutionary game theory in a cell: A membrane computing approach

Information Sciences

Pedro García-Victoria

Matteo Cavaliere

Miguel A Gutiérrez-Naranjo

Miguel Cárdenas-Montes

2022/4/1

Nature-Inspired Computation: two cases

Pedro García Victoria

Miguel Angel Gutiérrez Naranjo

Miguel Cárdenas Montes

2021/12/7

Optimizing the simplicial-map neural network architecture

Journal of Imaging

Eduardo Paluzo-Hidalgo

Rocio Gonzalez-Diaz

Miguel A Gutiérrez-Naranjo

Jónathan Heras

2021/9/1

Simplicial-map neural networks robust to adversarial examples

Mathematics

Eduardo Paluzo-Hidalgo

Rocio Gonzalez-Diaz

Miguel A Gutiérrez-Naranjo

Jónathan Heras

2021/1/15

Optimización Automática de Hiperparámetros en Modelos de Aprendizaje Automático mediante PBIL

Roberto Andrés Vasco Carofilis

Miguel Angel Gutiérrez Naranjo

Miguel Cárdenas Montes

2020/12/3

PBIL for optimizing hyperparameters of convolutional neural networks and STL decomposition

Roberto A Vasco-Carofilis

Miguel A Gutiérrez-Naranjo

Miguel Cárdenas-Montes

2020/11/4

Two-hidden-layer feed-forward networks are universal approximators: A constructive approach

Neural Networks

Eduardo Paluzo-Hidalgo

Rocio Gonzalez-Diaz

Miguel A Gutiérrez-Naranjo

2020/7/22

Logic negation with spiking neural P systems

Neural Processing Letters

Daniel Rodríguez-Chavarría

Miguel A Gutiérrez-Naranjo

Joaquín Borrego-Díaz

2020/10

See List of Professors in Miguel A. Gutiérrez Naranjo University(Universidad de Sevilla)

Co-Authors

H-index: 34
Agustín Riscos Núñez

Agustín Riscos Núñez

Universidad de Sevilla

H-index: 32
Francisco J. Romero-Campero

Francisco J. Romero-Campero

Universidad de Sevilla

H-index: 28
Yanhe Zhu

Yanhe Zhu

Harbin Institute of Technology

H-index: 27
Alberto Leporati

Alberto Leporati

Università degli Studi di Milano-Bicocca

H-index: 26
Claudio Zandron

Claudio Zandron

Università degli Studi di Milano-Bicocca

H-index: 24
Ignacio Perez-Hurtado

Ignacio Perez-Hurtado

Universidad de Sevilla

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