Andrés Herrera-Poyatos

24 papers B 3Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A domain-based taxonomy of jailbreak vulnerabilities in large language models.
Neurocomputing
Carlos Peláez-González, Andrés Herrera-Poyatos, Cristina Zuheros, David Herrera-Poyatos, Virilo Tejedor, Francisco Herrera
2026 J jnl
Deep learning methodology for the identification of wood species using high-resolution macroscopic images and patch-voting.
Appl. Intell.
David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera
2025 J jnl
A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models.
CoRR
Carlos Peláez-González, Andrés Herrera-Poyatos, Cristina Zuheros, David Herrera-Poyatos, Virilo Tejedor, Francisco Herrera
2025 J jnl
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability.
CoRR
David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Andrés Herrera-Poyatos, Virilo Tejedor, Francisco Herrera, Rosana Montes
2025 J jnl
An overview of model uncertainty and variability in LLM-based sentiment analysis: challenges, mitigation strategies, and the role of explainability.
Frontiers Artif. Intell.
David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Andrés Herrera-Poyatos, Virilo Tejedor, Francisco Herrera, Rosana Montes
2025 J jnl
DenoGrad: Deep Gradient Denoising Framework for Enhancing the Performance of Interpretable AI Models.
CoRR
J. Javier Alonso-Ramos, Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Francisco Herrera
2025 J jnl
Responsible Artificial Intelligence Systems: A Roadmap to Society's Trust through Trustworthy AI, Auditability, Accountability, and Governance.
CoRR
Andrés Herrera-Poyatos, Javier Del Ser, Marcos López de Prado, Fei-Yue Wang, Enrique Herrera-Viedma, Francisco Herrera
2025 J jnl
The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning.
CoRR
Virilo Tejedor, Cristina Zuheros, Carlos Peláez-González, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera
2024 — conf
An In-depth Analysis of Jailbreaking Through Domain Characterization of LLM Training Sets.
HAIS (2)
Carlos Peláez-González, Andrés Herrera-Poyatos, Francisco Herrera-Triguero
2024 B conf
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images.
IJCNN
David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes-Soldado, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera
2024 J jnl
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images.
CoRR
David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera
2024 J jnl
Fast Sampling of Satisfying Assignments from Random \(\boldsymbol{k}\)-SAT with Applications to Connectivity.
SIAM J. Discret. Math.
Zongchen Chen, Andreas Galanis, Leslie Ann Goldberg, Heng Guo, Andrés Herrera-Poyatos, Nitya Mani, Ankur Moitra
2024 J jnl
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting.
CoRR
Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera
2024 B conf
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting.
IJCNN
Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera
2024 J jnl
Small data deep learning methodology for in-field disease detection.
CoRR
David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos
2022 J jnl
Cyclotomic exponent sequences of numerical semigroups.
Discret. Math.
Emil-Alexandru Ciolan, Pedro A. García-Sánchez, Andrés Herrera-Poyatos, Pieter Moree
2022 J jnl
Fast sampling of satisfying assignments from random k-SAT.
CoRR
Andreas Galanis, Leslie Ann Goldberg, Heng Guo, Andrés Herrera-Poyatos
2022 J jnl
The Complexity of Approximating the Complex-Valued Ising Model on Bounded Degree Graphs.
SIAM J. Discret. Math.
Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos
2022 J jnl
The complexity of approximating the complex-valued Potts model.
Comput. Complex.
Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos
2021 J jnl
The complexity of approximating the complex-valued Ising model on bounded degree graphs.
CoRR
Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos
2020 B conf
The Complexity of Approximating the Complex-Valued Potts Model.
MFCS
Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos
2020 J jnl
The complexity of approximating the complex-valued Potts model.
CoRR
Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos
2017 J jnl
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST.
Int. J. Comput. Intell. Syst.
Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, Francisco Herrera
2017 J jnl
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification.
CoRR
Andrés Herrera-Poyatos, Francisco Herrera