5 citations · 16 across the 13 of their papers we have counts for
17 papers
Statistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence
Carlos Peláez-González, Francisco Herrera, Andrés Herrera-Poyatos
Large Language Models (LLMs) are increasingly used as recommendation generators in conversational recommender systems (RS) via retrieval-augmented generation (RAG). This flexible d…
DenoGrad: A Gradient-Based Framework for Data Refinement in Tabular and Time-Series Learning
J. Javier Alonso-Ramos, Ignacio Aguilera-Martos, Francisco Herrera +1
In the Data-Centric Artificial Intelligence (AI) paradigm, improving data quality is essential for robust machine learning. However, many denoising methods rely on rigid statistica…
A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models
Carlos Peláez-González, Andrés Herrera-Poyatos, Cristina Zuheros +3
The study of large language models (LLMs) is a key area in open-world machine learning. Although LLMs demonstrate remarkable natural language processing capabilities, they also fac…
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 +4
Large Language Models (LLMs) have significantly advanced sentiment analysis, yet their inherent uncertainty and variability pose critical challenges to achieving reliable and consi…
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 +3
Large Language Models (LLMs) offer powerful capabilities in text generation and are increasingly adopted across a wide range of domains. However, their open accessibility and fine-…
A Framework for Responsible AI Systems: Building Societal Trust through Domain Definition, Trustworthy AI Design, Auditability, Accountability, and Governance
Andrés Herrera-Poyatos, Javier Del Ser, Marcos López de Prado +3
Responsible Artificial Intelligence (RAI) addresses the ethical and regulatory challenges of deploying AI systems in high-risk scenarios. This paper proposes a comprehensive framew…
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo +1
Transformers have become the leading choice in natural language processing over other deep learning architectures. This trend has also permeated the field of time series analysis,…
Small data deep learning methodology for in-field disease detection
David Herrera-Poyato, Jacinto Domínguez-Rull, Rosana Montes +6
Early detection of diseases in crops is essential to prevent harvest losses and improve the quality of the final product. In this context, the combination of machine learning and p…
Fast sampling of satisfying assignments from random -SAT with applications to connectivity
Zongchen Chen, Andreas Galanis, Leslie Ann Goldberg +4
We give a nearly linear-time algorithm to approximately sample satisfying assignments in the random -SAT model when the density of the formula scales exponentially with . The…
The complexity of approximating the complex-valued Ising model on bounded degree graphs
Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos
We study the complexity of approximating the partition function of the Ising model in terms of the relation between the edge interaction and a parame…
Cyclotomic exponent sequences of numerical semigroups
Alexandru Ciolan, Pedro A. García-Sánchez, Andrés Herrera-Poyatos +1
We study the cyclotomic exponent sequence of a numerical semigroup and we compute its values at the gaps of the elements of with unique representations in terms of mi…
Cyclotomic numerical semigroup polynomials with at most two irreducible factors
Alessio Borzì, Andrés Herrera-Poyatos, Pieter Moree
A numerical semigroup is cyclotomic if its semigroup polynomial is a product of cyclotomic polynomials. The number of irreducible factors of (with multiplicity) is…
The complexity of approximating the complex-valued Potts model
Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos
We study the complexity of approximating the partition function of the -state Potts model and the closely related Tutte polynomial for complex values of the underlying parameter…
Coefficients and higher order derivatives of cyclotomic polynomials: old and new
Andrés Herrera-Poyatos, Pieter Moree
The cyclotomic polynomial is the minimal polynomial of an primitive root of unity. Its coefficients are the subject of intensive study and some formulas…
Isolated factorizations and their applications in simplicial affine semigroups
Pedro A. García-Sánchez, Andrés Herrera-Poyatos
We introduce the concept of isolated factorizations of an element of a commutative monoid and study its properties. We give several bounds for the number of isolated factorizations…
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification
Andrés Herrera-Poyatos, Francisco Herrera
The lack of diversity in a genetic algorithm's population may lead to a bad performance of the genetic operators since there is not an equilibrium between exploration and exploitat…
Cyclotomic polynomials at roots of unity
Bartlomiej Bzdega, Andres Herrera-Poyatos, Pieter Moree
The cyclotomic polynomial is the minimal polynomial of an primitive root of unity. Hence is trivially zero at primitive roots of unity.…