Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification. - Andrés Herrera-Poyatos; Francisco Herrera (CoRR, 2017)

A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. - Siham Tabik; Daniel Peralta; Andrés Herrera-Poyatos; Francisco Herrera (Int. J. Comput. Intell. Syst., 2017)

The complexity of approximating the complex-valued Potts model. - Andreas Galanis; Leslie Ann Goldberg; Andrés Herrera-Poyatos (Comput. Complex., 2022)

Fast sampling of satisfying assignments from random k-SAT. - Andreas Galanis; Leslie Ann Goldberg; Heng Guo 001; Andrés Herrera-Poyatos (CoRR, 2022)

Cyclotomic exponent sequences of numerical semigroups. - Emil-Alexandru Ciolan; Pedro A. García-Sánchez; Andrés Herrera-Poyatos; Pieter Moree (Discret. Math., 2022)

The Complexity of Approximating the Complex-Valued Ising Model on Bounded Degree Graphs. - Andreas Galanis; Leslie Ann Goldberg; Andrés Herrera-Poyatos (SIAM J. Discret. Math., 2022)

An In-depth Analysis of Jailbreaking Through Domain Characterization of LLM Training Sets. - Carlos Peláez-González; Andrés Herrera-Poyatos; Francisco Herrera-Triguero (HAIS (2), 2024)

Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting. - Ignacio Aguilera-Martos; Andrés Herrera-Poyatos; Julián Luengo; Francisco Herrera (IJCNN, 2024)

Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. - David Herrera-Poyatos; Andrés Herrera-Poyatos; Rosana Montes-Soldado; Paloma de Palacios; Luis G. Esteban; Alberto García-Iruela; Francisco G. Fernández; Francisco Herrera (IJCNN, 2024)

Small data deep learning methodology for in-field disease detection. - David Herrera-Poyatos; Jacinto Domínguez-Rull; Rosana Montes; Inés Hernández; Ignacio Barrio; Carlos Poblete-Echeverría; Javier Tardáguila; Francisco Herrera; Andrés Herrera-Poyatos (CoRR, 2024)

Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting. - Ignacio Aguilera-Martos; Andrés Herrera-Poyatos; Julián Luengo; Francisco Herrera (CoRR, 2024)

Fast Sampling of Satisfying Assignments from Random ( boldsymbol{k} )-SAT with Applications to Connectivity. - Zongchen Chen; Andreas Galanis; Leslie Ann Goldberg; Heng Guo 001; Andrés Herrera-Poyatos; Nitya Mani; Ankur Moitra (SIAM J. Discret. Math., 2024)

GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species. - Rosana Montes; David Herrera-Poyatos; Andrés Herrera-Poyatos; Francisco Herrera; Paloma de Palacios; Alberto García-Iruela; G. Estevan Luis (Zenodo, 2024)

GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species. - Rosana Montes; David Herrera-Poyatos; Andrés Herrera-Poyatos; Francisco Herrera; Paloma de Palacios; Antonio de Marco Blanco; Alberto García-Iruela; Francisco G. Fernández; Luis G. Esteban (Zenodo, 2024)

Responsible Artificial Intelligence Systems: A Roadmap to Society's Trust through Trustworthy AI, Auditability, Accountability, and Governance. - Andrés Herrera-Poyatos; Javier Del Ser; Marcos López de Prado; Fei-Yue Wang 001; Enrique Herrera-Viedma; Francisco Herrera (CoRR, 2025)

The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning. - Virilo Tejedor; Cristina Zuheros; Carlos Peláez-González; David Herrera-Poyatos; Andrés Herrera-Poyatos; Francisco Herrera (CoRR, 2025)

An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability. - David Herrera-Poyatos; Carlos Peláez-González; Cristina Zuheros; Andrés Herrera-Poyatos; Virilo Tejedor; Francisco Herrera; Rosana Montes (CoRR, 2025)

A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models. - Carlos Peláez-González; Andrés Herrera-Poyatos; Cristina Zuheros; David Herrera-Poyatos; Virilo Tejedor; Francisco Herrera (CoRR, 2025)