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Eduardo Paluzo-Hidalgo
Eduardo Paluzo-Hidalgo
Postdoctoral Fellow, Universidad de Sevilla
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A survey of vectorization methods in topological data analysis
D Ali, A Asaad, MJ Jimenez, V Nanda, E Paluzo-Hidalgo, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12 …, 2023
692023
Two-hidden-layer feed-forward networks are universal approximators: A constructive approach
E Paluzo-Hidalgo, R Gonzalez-Diaz, MA Gutiérrez-Naranjo
Neural Networks 131, 29-36, 2020
452020
Topology-based representative datasets to reduce neural network training resources
R Gonzalez-Diaz, MA Gutiérrez-Naranjo, E Paluzo-Hidalgo
Neural Computing and Applications, 2022
10*2022
Towards emotion recognition: a persistent entropy application
R Gonzalez-Diaz, E Paluzo-Hidalgo, JF Quesada
Computational Topology in Image Context: 7th International Workshop, CTIC …, 2019
92019
Neural-Network-Based Curve Fitting Using Totally Positive Rational Bases
R Gonzalez-Diaz, E Mainar, E Paluzo-Hidalgo, B Rubio
Mathematics 8 (12), 2197, 2020
82020
Jugueteando con grafos
R Núñez Santiago, J Núñez Valdés, E Paluzo-Hidalgo, E Salguero Quirós
Unión: revista iberoamericana de educación matemática 46, 188-204, 2016
72016
Representative datasets for neural networks
R Gonzalez-Diaz, E Paluzo-Hidalgo, MA Gutiérrez-Naranjo
Electronic Notes in Discrete Mathematics 68, 89-94, 2018
52018
Simplicial-Map Neural Networks Robust to Adversarial Examples
E Paluzo-Hidalgo, R Gonzalez-Diaz, MA Gutierrez-Naranjo, J Heras
Mathematics 9 (2), 169, 2021
42021
Optimizing the Simplicial-Map Neural Network Architecture
E Paluzo-Hidalgo, R Gonzalez-Diaz, MA Gutiérrez-Naranjo, J Heras
Journal of Imaging 7 (9), 2021
32021
Approximating lower-star persistence via 2D combinatorial map simplification
G Damiand, E Paluzo-Hidalgo, R Slechta, R Gonzalez-Diaz
Pattern Recognition Letters 131, 314-321, 2020
32020
Summary and Distance between Sets of Texts based on Topological Data Analysis
E Paluzo-Hidalgo, R Gonzalez-Diaz, MA Gutiérrez-Naranjo
arXiv preprint arXiv:1912.09253, 2019
3*2019
An in-depth analysis of data reduction methods for sustainable deep learning
J Perera-Lago, V Toscano-Duran, E Paluzo-Hidalgo, R Gonzalez-Diaz, ...
Open Research Europe 4, 101, 2024
22024
Trainable and Explainable Simplicial Map Neural Networks
E Paluzo-Hidalgo, MA Gutiérrez-Naranjo, R Gonzalez-Diaz
Information Sciences, 2024
2*2024
Euler Well-Composedness
N Boutry, R Gonzalez-Diaz, MJ Jimenez, E Paluzo-Hidalgo
Combinatorial Image Analysis: 20th International Workshop, IWCIA 2020, Novi …, 2020
22020
The metric-aware kernel-width choice for LIME
A Barrera-Vicent, E Paluzo-Hidalgo, MA Gutiérrez-Naranjo
1st World Conference on eXplainable Artificial Intelligence (xAI-2023) 3554 …, 2023
12023
Emotion recognition in talking-face videos using persistent entropy and neural networks
E Paluzo-Hidalgo, R Gonzalez-Diaz, G Aguirre-Carrazana
Electronic Research Archive 30 (2), 644-660, 2022
12022
Strong Euler well-composedness
N Boutry, R Gonzalez-Diaz, MJ Jimenez, E Paluzo-Hidalgo
Journal of Combinatorial Optimization, 1-18, 2021
12021
TWO-HIDDEN-LAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS: A CONSTRUCTIVE APPROACH
R Gonzalez-Diaz, MA Gutiérrez-Naranjo, E Paluzo-Hidalgo
arXiv preprint arXiv:1907.11457, 2019
12019
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data
J Perera-Lago, V Toscano-Duran, E Paluzo-Hidalgo, S Narteni, M Rucco
World Conference on Explainable Artificial Intelligence, 384-395, 2024
2024
Topological data quality via 0-dimensional persistence matching
Á Torras-Casas, E Paluzo-Hidalgo, R Gonzalez-Diaz
arXiv preprint arXiv:2306.02411, 2024
2024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20