Pedro Antonio Gutiérrez

Pedro Antonio Gutiérrez

Universidad de Córdoba

H-index: 35

Europe-Spain

About Pedro Antonio Gutiérrez

Pedro Antonio Gutiérrez, With an exceptional h-index of 35 and a recent h-index of 26 (since 2020), a distinguished researcher at Universidad de Córdoba, specializes in the field of Artificial Neural Networks, Evolutionary Algorithms, Ordinal Regression, Ordinal Classification, Machine Learning.

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

Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers

Fusion of standard and ordinal dropout techniques to regularise deep models

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target

Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds

A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment

Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors

Pedro Antonio Gutiérrez Information

University

Position

Assistant Professor of Computer Science (Spain)

Citations(all)

4744

Citations(since 2020)

2913

Cited By

2962

hIndex(all)

35

hIndex(since 2020)

26

i10Index(all)

101

i10Index(since 2020)

67

Email

University Profile Page

Universidad de Córdoba

Google Scholar

View Google Scholar Profile

Pedro Antonio Gutiérrez Skills & Research Interests

Artificial Neural Networks

Evolutionary Algorithms

Ordinal Regression

Ordinal Classification

Machine Learning

Top articles of Pedro Antonio Gutiérrez

Title

Journal

Author(s)

Publication Date

Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers

IEEE Transactions on Neural Networks and Learning Systems

Riccardo Rosati

Luca Romeo

Víctor Manuel Vargas

Pedro Antonio Gutiérrez

Emanuele Frontoni

...

2024/2/12

Fusion of standard and ordinal dropout techniques to regularise deep models

Information Fusion

Francisco Bérchez-Moreno

Juan C Fernández

César Hervás-Martínez

Pedro A Gutiérrez

2024/2/10

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target

Engineering Applications of Artificial Intelligence

Antonio M Gómez-Orellana

David Guijo-Rubio

Pedro A Gutiérrez

César Hervás-Martínez

Víctor M Vargas

2024/7/1

Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds

Sensors

Alejandro Morales-Martín

Francisco-Javier Mesas-Carrascosa

Pedro Antonio Gutiérrez

Fernando-Juan Pérez-Porras

Víctor Manuel Vargas

...

2024/3/28

A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks

Scientific Reports

Francisco Bérchez-Moreno

Antonio M Durán-Rosal

César Hervás Martínez

Pedro A Gutiérrez

Juan C Fernández

2024/3/23

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

Knowledge-Based Systems

C Peláez-Rodríguez

J Pérez-Aracil

CM Marina

L Prieto-Godino

C Casanova-Mateo

...

2024/3/1

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment

Applied Soft Computing

Víctor Manuel Vargas

Pedro Antonio Gutiérrez

Riccardo Rosati

Luca Romeo

Emanuele Frontoni

...

2023/5/1

Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors

Marcos Rivera-Gavilán

Víctor Manuel Vargas

Pedro Antonio Gutiérrez

Javier Briceño

César Hervás-Martínez

...

2023/6/19

Soft labelling based on triangular distributions for ordinal classification

Information Fusion

Víctor Manuel Vargas

Pedro Antonio Gutiérrez

Javier Barbero-Gómez

César Hervás-Martínez

2023/5/1

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models

Javier Barbero-Gómez

Ricardo Cruz

Jaime S Cardoso

Pedro A Gutiérrez

César Hervás-Martínez

2023/6/19

One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques

Atmospheric Research

Antonio Manuel Gómez-Orellana

David Guijo-Rubio

Jorge Pérez-Aracil

Pedro Antonio Gutiérrez

Sancho Salcedo-Sanz

...

2023/3/15

Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification

Víctor Manuel Vargas

Rafael Ayllón-Gavilán

Antonio Manuel Durán-Rosal

Pedro Antonio Gutiérrez

César Hervás-Martínez

...

2023/6/19

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation

Information Sciences

Víctor Manuel Vargas

Antonio Manuel Durán-Rosal

David Guijo-Rubio

Pedro Antonio Gutiérrez

César Hervás-Martínez

2023/11/1

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment

Computers in Industry

Víctor Manuel Vargas

Pedro Antonio Gutiérrez

Riccardo Rosati

Luca Romeo

Emanuele Frontoni

...

2023/1/1

A Dictionary-Based Approach to Time Series Ordinal Classification

Rafael Ayllón-Gavilán

David Guijo-Rubio

Pedro Antonio Gutiérrez

César Hervás-Martínez

2023/6/19

Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2

Expert Systems with Applications

Miguel Díaz-Lozano

David Guijo-Rubio

Pedro Antonio Gutiérrez

César Hervás-Martínez

2023/9/1

Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study

IEEE Transactions on Neural Networks and Learning Systems

Víctor Manuel Vargas

Pedro Antonio Gutiérrez

Javier Barbero-Gómez

César Hervás-Martínez

2021/8/24

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification

arXiv preprint arXiv:2306.10084

Rafael Ayllón-Gavilán

David Guijo-Rubio

Pedro Antonio Gutiérrez

Anthony Bagnall

César Hervás-Martínez

2023/6/16

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data

Engineering Applications of Artificial Intelligence

Víctor Manuel Vargas

Riccardo Rosati

César Hervás-Martínez

Adriano Mancini

Luca Romeo

...

2023/8/1

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

Expert Systems with Applications

Miguel Díaz-Lozano

David Guijo-Rubio

Pedro Antonio Gutiérrez

Antonio Manuel Gómez-Orellana

Isaac Túñez

...

2022/11/30

See List of Professors in Pedro Antonio Gutiérrez University(Universidad de Córdoba)

Co-Authors

H-index: 53
Sancho Salcedo-Sanz

Sancho Salcedo-Sanz

Universidad de Alcalá

H-index: 49
César Hervás Martínez

César Hervás Martínez

Universidad de Córdoba

H-index: 44
Peter Tino

Peter Tino

University of Birmingham

H-index: 26
Francisco Fernández-Navarro

Francisco Fernández-Navarro

Universidad Loyola Andalucía

H-index: 23
Maria Perez-Ortiz

Maria Perez-Ortiz

University College London

H-index: 21
Javier Sánchez-Monedero

Javier Sánchez-Monedero

Universidad de Córdoba

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