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ORCIDEduardo Paluzo-Hidalgo
Person information
- affiliation: Universidad de Sevilla, Spain
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2020 – today
- 2024
[j8]Eduardo Paluzo-Hidalgo
, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo:
Trainable and explainable simplicial map neural networks. Inf. Sci. 667: 120474 (2024)- [c4]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. xAI (4) 2024: 384-395 - [i10]Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo:
SIMAP: A simplicial-map layer for neural networks. CoRR abs/2403.15083 (2024) - [i9]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 abs/2403.15150 (2024) - [i8]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 abs/2404.09541 (2024) - 2023
- [j7]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): 14069-14080 (2023) - [c3]Aurelio Barrera-Vicent, Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo:
The Metric-aware Kernel-width Choice for LIME. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 117-122 - [i7]Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo, Rocío González-Díaz:
Explainability in Simplicial Map Neural Networks. CoRR abs/2306.00010 (2023) - [i6]Álvaro Torras-Casas, Eduardo Paluzo-Hidalgo, Rocío González-Díaz:
A Topological Approach to Measuring Training Data Quality. CoRR abs/2306.02411 (2023) - 2022
- [j6]Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo:
Strong Euler well-composedness. J. Comb. Optim. 44(4): 3038-3055 (2022) - [j5]Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo:
Topology-based representative datasets to reduce neural network training resources. Neural Comput. Appl. 34(17): 14397-14413 (2022) - 2021
- [j4]Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Jónathan Heras:
Optimizing the Simplicial-Map Neural Network Architecture. J. Imaging 7(9): 173 (2021) - [i5]Eduardo Paluzo-Hidalgo, Guillermo Aguirre-Carrazana, Rocío González-Díaz:
Emotion recognition in talking-face videos using persistent entropy and neural networks. CoRR abs/2110.13571 (2021) - 2020
- [j3]Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo:
Two-hidden-layer feed-forward networks are universal approximators: A constructive approach. Neural Networks 131: 29-36 (2020) - [j2]Guillaume Damiand, Eduardo Paluzo-Hidalgo, Ryan Slechta, Rocío González-Díaz:
Approximating lower-star persistence via 2D combinatorial map simplification. Pattern Recognit. Lett. 131: 314-321 (2020) - [c2]Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo:
Euler Well-Composedness. IWCIA 2020: 3-19
2010 – 2019
- 2019
- [c1]Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada:
Towards Emotion Recognition: A Persistent Entropy Application. CTIC 2019: 96-109 - [i4]Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo:
Representative Datasets: The Perceptron Case. CoRR abs/1903.08519 (2019) - [i3]Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo:
Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach. CoRR abs/1907.11457 (2019) - [i2]Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo:
Towards a Philological Metric through a Topological Data Analysis Approach. CoRR abs/1912.09253 (2019) - 2018
- [j1]Rocío González-Díaz, Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo:
Representative datasets for neural networks. Electron. Notes Discret. Math. 68: 89-94 (2018) - [i1]Rocío González-Díaz, Eduardo Paluzo-Hidalgo, José F. Quesada:
Towards Emotion Recognition: A Persistent Entropy Application. CoRR abs/1811.09607 (2018)
Coauthor Index
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