David Herrera-Poyatos

According to our database, David Herrera-Poyatos authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep learning methodology for the identification of wood species using high-resolution macroscopic images and patch-voting.

David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera

Appl. Intell., April, 2026

TAXAL framework: Triadic fusion of cognitive, functional, and causal dimensions for explainability in agentic LLMs.

David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Virilo Tejedor, Rosana Montes, Francisco Herrera

Inf. Fusion, 2026

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

Neurocomputing, 2026

2025

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework.

David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Virilo Tejedor, Rosana Montes, Francisco Herrera

CoRR, September, 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, April, 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

Frontiers Artif. Intell., 2025

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

Dataset, June, 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

Dataset, April, 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

Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges.

Cristina Zuheros, David Herrera-Poyatos, Rosana Montes, Francisco Herrera

CoRR, 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

Proceedings of the International Joint Conference on Neural Networks, 2024