| 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 | 69 | 2023 |
| 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 | 45 | 2020 |
| 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 | 9 | 2019 |
| 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 | 8 | 2020 |
| 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 | 7 | 2016 |
| Representative datasets for neural networks R Gonzalez-Diaz, E Paluzo-Hidalgo, MA Gutiérrez-Naranjo Electronic Notes in Discrete Mathematics 68, 89-94, 2018 | 5 | 2018 |
| Simplicial-Map Neural Networks Robust to Adversarial Examples E Paluzo-Hidalgo, R Gonzalez-Diaz, MA Gutierrez-Naranjo, J Heras Mathematics 9 (2), 169, 2021 | 4 | 2021 |
| Optimizing the Simplicial-Map Neural Network Architecture E Paluzo-Hidalgo, R Gonzalez-Diaz, MA Gutiérrez-Naranjo, J Heras Journal of Imaging 7 (9), 2021 | 3 | 2021 |
| 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 | 3 | 2020 |
| 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 | 2 | 2024 |
| 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 | 2 | 2020 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Strong Euler well-composedness N Boutry, R Gonzalez-Diaz, MJ Jimenez, E Paluzo-Hidalgo Journal of Combinatorial Optimization, 1-18, 2021 | 1 | 2021 |
| 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 | 1 | 2019 |
| 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 |
Rocio Gonzalez-DiazUniversity of Sevilleایمیل تأیید شده در us.es
