LOYOLA
Research

Oferta científica
y grupos de investigación


EDUARDO PALUZO HIDALGO

EDUARDO PALUZO HIDALGO

Categoría: Profesor/a Adjunto/a
Área de conocimiento:
ORCID iD: 0000-0002-4280-5945
Grupo de Investigación: Métodos de Investigación Cuantitativa y aplicaciones (MICA)

Publicaciones

I finished my undergraduate studies in Mathematics in 2017 and obtained an MSc in Logic, Computation and Artificial Intelligence in 2018 at the University of Sevilla. Then, I began my research career with a young researcher position funded by the European Fund 2014-20 at the University of Sevilla and obtained my PhD in 2021 under the supervisión of Prof. Rocío González Díaz and Prof. Miguel Ángel Gutiérrez Naranjo. My thesis was devoted to topology-aware data reduction in the context of Machine Learning, as well as theoretical approaches from a Computational Topology perspective to the universal approximation capabilities of Artificial Neural Networks (ANNs) and their robustness against adversarial examples by defining a new flavour of ANN based on simplicial maps. From October 2019 to December 2024, I held a substitute teaching position at the Applied Math I department at the University of Sevilla. In the summer of 2023, I did research stays at Kyushu University and Kyoto University, both in Japan. My research is mainly devoted to ANNs and Computational Topology. Since January 2024, I have been an Assistant Professor at the Universidad Loyola (Campus Sevilla). I have participated in three national and one European project (Rexasi-Pro).

Artículos o Reviews

Publicación
Trainable and explainable simplicial map neural networks
PALUZO HIDALGO, EDUARDO, Gonzalez-Diaz R. , Gutiérrez-Naranjo M.A.
01/01/2024
Article
A Survey of Vectorization Methods in Topological Data Analysis
Ali, Dashti , Asaad, Aras , Jimenez, Maria-Jose , Nanda, Vidit , PALUZO HIDALGO, EDUARDO, Soriano-Trigueros, Manuel
01/12/2023
Article
Strong Euler well-composedness
Boutry, Nicolas , Gonzalez-Diaz, Rocio , Jimenez, Maria-Jose , PALUZO HIDALGO, EDUARDO
01/11/2022
Article
Topology-based representative datasets to reduce neural network training resources
Gonzalez-Diaz, Rocio , Gutierrez-Naranjo, Miguel A. , PALUZO HIDALGO, EDUARDO
01/09/2022
Article
Emotion recognition in talking-face videos using persistent entropy and neural networks
PALUZO HIDALGO, EDUARDO, Gonzalez-Diaz, Rocio , Aguirre-Carrazana, Guillermo
01/01/2022
Article
Optimizing the Simplicial-Map Neural Network Architecture
PALUZO HIDALGO, EDUARDO, Gonzalez-Diaz, Rocio , Gutierrez-Naranjo, Miguel A. , Heras, Jonathan
01/09/2021
Article
Simplicial-Map Neural Networks Robust to Adversarial Examples
PALUZO HIDALGO, EDUARDO, Gonzalez-Diaz, Rocio , Gutierrez-Naranjo, Miguel A. , Heras, Jonathan
01/01/2021
Article
Neural-Network-Based Curve Fitting Using Totally Positive Rational Bases
Gonzalez-Diaz, Rocio , Mainar, E. , PALUZO HIDALGO, EDUARDO, Rubio, B.
01/12/2020
Article
Two-hidden-layer feed-forward networks are universal approximators: A constructive approach
PALUZO HIDALGO, EDUARDO, Gonzalez-Diaz, Rocio , Gutierrez-Naranjo, Miguel A.
01/11/2020
Article
Approximating lower-star persistence via 2D combinatorial map simplification
Damiand, Guillaume , PALUZO HIDALGO, EDUARDO, Slechta, Ryan , Gonzalez-Diaz, Rocio
01/03/2020
Article

Conference Paper o Proceedings Paper o Ponencia del congreso o Abstract de un congreso

Publicación
Algebraically-informed deep networks for associative evolution algebras
Fernández-Ternero , Gómez-Sousa , Núñez-Valdes , PALUZO HIDALGO, EDUARDO
01/04/2024
Abstract de un Congreso
Towards Emotion Recognition: A Persistent Entropy Application
González Díaz, Rocío , PALUZO HIDALGO, EDUARDO, Quesada Moreno, José Francisco
24/01/2019
Ponencia del Congreso
Towards Emotion Recognition: A Persistent Entropy Application
Gonzalez-Diaz, Rocio , PALUZO HIDALGO, EDUARDO, Quesada, Jose F.
01/01/2019
Proceedings Paper
Aplicaciones de la topología a las redes neuronales
PALUZO HIDALGO, EDUARDO
16/10/2018
Ponencia del Congreso
Neural Networks and Topology
PALUZO HIDALGO, EDUARDO
11/09/2018
Ponencia del Congreso

Proyectos externos de investigación

Proyecto externo
Topología Computacional para el ahorro de energía y la optimización de métodos de aprendizaje profundo para alcanzar soluciones verdes de Inteligencia Artificial
Fecha de inicio del proyecto: 01/12/2022
REliable & eXplAinable Swarm Intelligence for People with Reduced mObility
Fecha de inicio del proyecto: 01/10/2022
Advances in topics on computational topology and its relationship with neural networks
Fecha de inicio del proyecto: 05/10/2021
Advances in Topología Computacional y Aplicaciones
Fecha de inicio del proyecto: 01/06/2020

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