Eduardo Paluzo-Hidalgo

According to our database, Eduardo Paluzo-Hidalgo authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Trainable and explainable simplicial map neural networks.

Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo

Inf. Sci., 2024

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

Víctor Toscano-Durán, Javier Perera-Lago, Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Matteo Rucco

CoRR, 2024

SIMAP: A simplicial-map layer for neural networks.

Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo

CoRR, 2024

Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data.

Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco

Proceedings of the Explainable Artificial Intelligence, 2024

2023

A Survey of Vectorization Methods in Topological Data Analysis.

Dashti Ali, Aras Asaad, María José Jiménez, Vidit Nanda, Eduardo Paluzo-Hidalgo, Manuel Soriano-Trigueros

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A Topological Approach to Measuring Training Data Quality.

Álvaro Torras-Casas, Eduardo Paluzo-Hidalgo, Rocío González-Díaz

CoRR, 2023

Explainability in Simplicial Map Neural Networks.

Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo, Rocío González-Díaz

CoRR, 2023

The Metric-aware Kernel-width Choice for LIME.

Aurelio Barrera-Vicent, Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

2022

Topology-based representative datasets to reduce neural network training resources.

Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo

Neural Comput. Appl., 2022

Strong Euler well-composedness.

Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo

J. Comb. Optim., 2022

2021

Optimizing the Simplicial-Map Neural Network Architecture.

Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Jónathan Heras

J. Imaging, 2021

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

Eduardo Paluzo-Hidalgo, Guillermo Aguirre-Carrazana, Rocío González-Díaz

CoRR, 2021

2020

Approximating lower-star persistence via 2D combinatorial map simplification.

Guillaume Damiand, Eduardo Paluzo-Hidalgo, Ryan Slechta, Rocío González-Díaz

Pattern Recognit. Lett., 2020

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

Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo

Neural Networks, 2020

Euler Well-Composedness.

Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo

Proceedings of the Combinatorial Image Analysis - 20th International Workshop, 2020

2019

Towards a Philological Metric through a Topological Data Analysis Approach.

Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo

CoRR, 2019

Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach.

Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo

CoRR, 2019

Representative Datasets: The Perceptron Case.

Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo

CoRR, 2019

Towards Emotion Recognition: A Persistent Entropy Application.

Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada

Proceedings of the Computational Topology in Image Context - 7th International Workshop, 2019

2018

Representative datasets for neural networks.

Rocío González-Díaz, Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo

Electron. Notes Discret. Math., 2018