Rocio Gonzalez Diaz

Rocio Gonzalez Diaz

Universidad de Sevilla

H-index: 17

Europe-Spain

About Rocio Gonzalez Diaz

Rocio Gonzalez Diaz, With an exceptional h-index of 17 and a recent h-index of 12 (since 2020), a distinguished researcher at Universidad de Sevilla, specializes in the field of Computational Topology, Discrete Geometry, Image Analysis, Neural Networks.

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

Trainable and explainable simplicial map neural networks

SIMAP: A simplicial-map layer for neural networks

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

A Topological Approach to Measuring Training Data Quality

Partial matchings induced by morphisms between persistence modules

Explainability in Simplicial Map Neural Networks

El proyecto «ODS-UCUBA+ UANDALUZAS. Cooperación para la implementación de la agenda 2030 en Cuba»

Abandoned Object Detection Using Persistent Homology

Rocio Gonzalez Diaz Information

University

Position

___

Citations(all)

1174

Citations(since 2020)

548

Cited By

916

hIndex(all)

17

hIndex(since 2020)

12

i10Index(all)

37

i10Index(since 2020)

18

Email

University Profile Page

Universidad de Sevilla

Google Scholar

View Google Scholar Profile

Rocio Gonzalez Diaz Skills & Research Interests

Computational Topology

Discrete Geometry

Image Analysis

Neural Networks

Top articles of Rocio Gonzalez Diaz

Title

Journal

Author(s)

Publication Date

Trainable and explainable simplicial map neural networks

Information Sciences

Eduardo Paluzo-Hidalgo

Miguel A. Gutiérrez-Naranjo

Rocio Gonzalez-Diaz

2024/5

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

A Topological Approach to Measuring Training Data Quality

arXiv preprint arXiv:2306.02411

Álvaro Torras-Casas

Eduardo Paluzo-Hidalgo

Rocio Gonzalez-Diaz

2023/6

Partial matchings induced by morphisms between persistence modules

Computational Geometry

Rocío Gonzalez-Diaz

Manuel Soriano-Trigueros

A Torras-Casas

2023/6/1

Explainability in Simplicial Map Neural Networks

arXiv preprint arXiv:2306.00010

Eduardo Paluzo-Hidalgo

Miguel A Gutiérrez-Naranjo

Rocio Gonzalez-Diaz

2023/5/29

El proyecto «ODS-UCUBA+ UANDALUZAS. Cooperación para la implementación de la agenda 2030 en Cuba»

Dámaso Ramón Ponvert Delisles

Edel B García Reyes

Rafael Godoy Rubio

María del Rocío González Díaz

2023

Abandoned Object Detection Using Persistent Homology

Javier Lamar Leon

Raúl Alonso Baryolo

Edel Garcia Reyes

Rocio Gonzalez Diaz

Pedro Salgueiro

2023/11/27

Characterizing slope regions

Journal of Combinatorial Optimization

Rocio Gonzalez-Diaz

Darshan Batavia

Rocio M Casablanca

Walter G Kropatsch

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

Continuous Well-Composedness Implies Digital Well-Composedness in n-D

Journal of Mathematical Imaging and Vision

Nicolas Boutry

Rocio Gonzalez-Diaz

Laurent Najman

Thierry Géraud

2022/2

A Step Towards Learning Contraction Kernels for Irregular Image Pyramid

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)(2022), pp. 60-70.

Darshan Batavia

María del Rocío González Díaz

Walter G Kropatsch

2022

Emotion recognition in talking-face videos using persistent entropy and neural networks

Electronic Research Archive

Eduardo Paluzo-Hidalgo

Rocío Gonzalez-Diaz

Guillermo Aguirre-Carrazana

2022/2/18

Strong Euler well-composedness

Journal of Combinatorial Optimization

Nicolas Boutry

Rocio Gonzalez-Diaz

Maria-Jose Jimenez

Eduardo Paluzo-Hidalgo

2021/12/23

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

Making Sullivan Algebras Minimal Through Chain Contractions

Mediterranean Journal of Mathematics

Antonio Garvin

Rocio Gonzalez-Diaz

Miguel Angel Marco

Belen Medrano

2021/4

Simplicial-map neural networks robust to adversarial examples

Mathematics

Eduardo Paluzo-Hidalgo

Rocio Gonzalez-Diaz

Miguel A Gutiérrez-Naranjo

Jónathan Heras

2021/1/15

Image= structure+ few colors

Darshan Batavia

Rocio Gonzalez-Diaz

Walter G Kropatsch

2021

Persistence Partial Matchings Induced by Morphisms between Persistence Modules

ArXiv. org, arXiv: 2107.04519

Rocío González Díaz

Manuel Soriano Trigueros

2021

Approximating lower-star persistence via 2D combinatorial map simplification

Pattern Recognition Letters

Guillaume Damiand

Eduardo Paluzo-Hidalgo

Ryan Slechta

Rocio Gonzalez-Diaz

2020/3/1

See List of Professors in Rocio Gonzalez Diaz University(Universidad de Sevilla)

Co-Authors

H-index: 40
Hamid Krim

Hamid Krim

North Carolina State University

H-index: 25
Miguel A. Gutiérrez Naranjo

Miguel A. Gutiérrez Naranjo

Universidad de Sevilla

H-index: 22
Pedro Real Jurado

Pedro Real Jurado

Universidad de Sevilla

H-index: 16
Helena Molina-Abril

Helena Molina-Abril

Universidad de Sevilla

H-index: 13
Maria-Jose Jimenez

Maria-Jose Jimenez

Universidad de Sevilla

H-index: 11
Nieves Atienza

Nieves Atienza

Universidad de Sevilla

academic-engine