Andrés Herrera-Poyatos
Orcid: 0000-0001-9183-5262
According to our database1,
Andrés Herrera-Poyatos authored at least 20 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Deep learning methodology for the identification of wood species using high-resolution macroscopic images and patch-voting.
Appl. Intell., April, 2026
Neurocomputing, 2026
2025
DenoGrad: Deep Gradient Denoising Framework for Enhancing the Performance of Interpretable AI Models.
CoRR, November, 2025
The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning.
CoRR, April, 2025
Responsible Artificial Intelligence Systems: A Roadmap to Society's Trust through Trustworthy AI, Auditability, Accountability, and Governance.
CoRR, March, 2025
An overview of model uncertainty and variability in LLM-based sentiment analysis: challenges, mitigation strategies, and the role of explainability.
Frontiers Artif. Intell., 2025
2024
GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species.
Dataset, June, 2024
GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species.
Dataset, April, 2024
Fast Sampling of Satisfying Assignments from Random \(\boldsymbol{k}\)-SAT with Applications to Connectivity.
SIAM J. Discret. Math., 2024
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting.
CoRR, 2024
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images.
Proceedings of the International Joint Conference on Neural Networks, 2024
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2024
An In-depth Analysis of Jailbreaking Through Domain Characterization of LLM Training Sets.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024
2022
The Complexity of Approximating the Complex-Valued Ising Model on Bounded Degree Graphs.
SIAM J. Discret. Math., September, 2022
2020
Proceedings of the 45th International Symposium on Mathematical Foundations of Computer Science, 2020
2017
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST.
Int. J. Comput. Intell. Syst., 2017
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification.
CoRR, 2017