Eduardo Paluzo-Hidalgo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Positive Semi Definite

Number Of Hidden Layers

Top Venues

J. Comb. Optim.

Electron. Notes Discret. Math.

Publications

Víctor Toscano-Durán, Javier Perera-Lago, Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Matteo Rucco
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning. CoRR (2024)
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data. CoRR (2024)
Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
SIMAP: A simplicial-map layer for neural networks. CoRR (2024)
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo
Trainable and explainable simplicial map neural networks. Inf. Sci. 667 (2024)
Dashti Ali, Aras Asaad, María José Jiménez, Vidit Nanda, Eduardo Paluzo-Hidalgo, Manuel Soriano-Trigueros
A Survey of Vectorization Methods in Topological Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Aurelio Barrera-Vicent, Eduardo Paluzo-Hidalgo, Miguel A. Gutiérrez-Naranjo
The Metric-aware Kernel-width Choice for LIME. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Eduardo Paluzo-Hidalgo, Miguel A. Gutiérrez-Naranjo, Rocio González-Díaz
Explainability in Simplicial Map Neural Networks. CoRR (2023)
Álvaro Torras-Casas, Eduardo Paluzo-Hidalgo, Rocío González-Díaz
A Topological Approach to Measuring Training Data Quality. CoRR (2023)
Rocío González-Díaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
Topology-based representative datasets to reduce neural network training resources. Neural Comput. Appl. 34 (17) (2022)
Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo
Strong Euler well-composedness. J. Comb. Optim. 44 (4) (2022)
Eduardo Paluzo-Hidalgo, Guillermo Aguirre-Carrazana, Rocío González-Díaz
Emotion recognition in talking-face videos using persistent entropy and neural networks. CoRR (2021)
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel A. Gutiérrez-Naranjo, Jónathan Heras
Optimizing the Simplicial-Map Neural Network Architecture. J. Imaging 7 (9) (2021)
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel A. Gutiérrez-Naranjo
Two-hidden-layer feed-forward networks are universal approximators: A constructive approach. Neural Networks 131 (2020)
Nicolas Boutry, Rocío González-Díaz, Maria Jose Jimenez, Eduardo Paluzo-Hidalgo
Euler Well-Composedness. IWCIA (2020)
Guillaume Damiand, Eduardo Paluzo-Hidalgo, Ryan Slechta, Rocío González-Díaz
Approximating lower-star persistence via 2D combinatorial map simplification. Pattern Recognit. Lett. 131 (2020)
Rocío González-Díaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach. CoRR (2019)
Rocío González-Díaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
Representative Datasets: The Perceptron Case. CoRR (2019)
Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel A. Gutiérrez-Naranjo
Towards a Philological Metric through a Topological Data Analysis Approach. CoRR (2019)
Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada
Towards Emotion Recognition: A Persistent Entropy Application. CTIC (2019)
Rocío González-Díaz, Eduardo Paluzo-Hidalgo, Miguel A. Gutiérrez-Naranjo
Representative datasets for neural networks. Electron. Notes Discret. Math. 68 (2018)
Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada
Towards Emotion Recognition: A Persistent Entropy Application. CoRR (2018)