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ORCIDAndrés Herrera-Poyatos
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2020 – today
- 2024
[c4]Carlos Peláez-González, Andrés Herrera-Poyatos, Francisco Herrera-Triguero:
An In-depth Analysis of Jailbreaking Through Domain Characterization of LLM Training Sets. HAIS (2) 2024: 116-127- [c3]Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera:
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting. IJCNN 2024: 1-8 - [c2]David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes-Soldado, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera:
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. IJCNN 2024: 1-8 - [d1]Rosana Montes
, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera, Paloma de Palacios, Alberto García-Iruela, G. Estevan Luis:
GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species. Zenodo, 2024
- [i7]David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera:
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. CoRR abs/2406.11772 (2024) - [i6]David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos:
Small data deep learning methodology for in-field disease detection. CoRR abs/2409.17119 (2024) - [i5]Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera:
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting. CoRR abs/2410.03805 (2024) - 2022
- [j4]Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The complexity of approximating the complex-valued Potts model. Comput. Complex. 31(1): 2 (2022) - [j3]Emil-Alexandru Ciolan, Pedro A. García-Sánchez, Andrés Herrera-Poyatos, Pieter Moree:
Cyclotomic exponent sequences of numerical semigroups. Discret. Math. 345(6): 112820 (2022) - [j2]Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The Complexity of Approximating the Complex-Valued Ising Model on Bounded Degree Graphs. SIAM J. Discret. Math. 36(3): 2159-2204 (2022) - [i4]Andreas Galanis, Leslie Ann Goldberg, Heng Guo, Andrés Herrera-Poyatos:
Fast sampling of satisfying assignments from random k-SAT. CoRR abs/2206.15308 (2022) - 2021
- [i3]Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The complexity of approximating the complex-valued Ising model on bounded degree graphs. CoRR abs/2105.00287 (2021) - 2020
- [c1]Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The Complexity of Approximating the Complex-Valued Potts Model. MFCS 2020: 36:1-36:14 - [i2]Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The complexity of approximating the complex-valued Potts model. CoRR abs/2005.01076 (2020)
2010 – 2019
- 2017
- [j1]Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, Francisco Herrera:
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. Int. J. Comput. Intell. Syst. 10(1): 555-568 (2017) - [i1]Andrés Herrera-Poyatos, Francisco Herrera:
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification. CoRR abs/1702.03594 (2017)
Coauthor Index
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