Eduardo Paluzo-Hidalgo

24 papers C 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases.
CoRR
Eduardo Paluzo-Hidalgo, Yuichi Ike
2025 J jnl
Latent Space Topology Evolution in Multilayer Perceptrons.
CoRR
Eduardo Paluzo-Hidalgo
2024 J jnl
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning.
CoRR
Víctor Toscano-Durán, Javier Perera-Lago, Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Matteo Rucco
2024 — conf
Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data.
xAI (4)
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
2024 J jnl
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data.
CoRR
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
2024 J jnl
SIMAP: A simplicial-map layer for neural networks.
CoRR
Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
2024 J jnl
Trainable and explainable simplicial map neural networks.
Inf. Sci.
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo
2023 J jnl
A Survey of Vectorization Methods in Topological Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Dashti Ali, Aras Asaad, María José Jiménez, Vidit Nanda, Eduardo Paluzo-Hidalgo, Manuel Soriano-Trigueros
2023 J jnl
A Topological Approach to Measuring Training Data Quality.
CoRR
Álvaro Torras-Casas, Eduardo Paluzo-Hidalgo, Rocío González-Díaz
2023 J jnl
Explainability in Simplicial Map Neural Networks.
CoRR
Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo, Rocío González-Díaz
2023 — conf
The Metric-aware Kernel-width Choice for LIME.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Aurelio Barrera-Vicent, Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo
2022 J jnl
Strong Euler well-composedness.
J. Comb. Optim.
Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo
2022 J jnl
Topology-based representative datasets to reduce neural network training resources.
Neural Comput. Appl.
Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
2021 J jnl
Emotion recognition in talking-face videos using persistent entropy and neural networks.
CoRR
Eduardo Paluzo-Hidalgo, Guillermo Aguirre-Carrazana, Rocío González-Díaz
2021 J jnl
Optimizing the Simplicial-Map Neural Network Architecture.
J. Imaging
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Jónathan Heras
2020 J jnl
Approximating lower-star persistence via 2D combinatorial map simplification.
Pattern Recognit. Lett.
Guillaume Damiand, Eduardo Paluzo-Hidalgo, Ryan Slechta, Rocío González-Díaz
2020 C conf
Euler Well-Composedness.
IWCIA
Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo
2020 J jnl
Two-hidden-layer feed-forward networks are universal approximators: A constructive approach.
Neural Networks
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo
2019 J jnl
Representative Datasets: The Perceptron Case.
CoRR
Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
2019 — conf
Towards Emotion Recognition: A Persistent Entropy Application.
CTIC
Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada
2019 J jnl
Towards a Philological Metric through a Topological Data Analysis Approach.
CoRR
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo
2019 J jnl
Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach.
CoRR
Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
2018 J jnl
Representative datasets for neural networks.
Electron. Notes Discret. Math.
Rocío González-Díaz, Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo
2018 J jnl
Towards Emotion Recognition: A Persistent Entropy Application.
CoRR
Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada