1 code implementation • 9 Apr 2024 • Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez-Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, M. Victoria Luzón
In the realm of Artificial Intelligence (AI), the need for privacy and security in data processing has become paramount.
no code implementations • 3 Apr 2024 • Alberto Argente-Garrido, Cristina Zuheros, M. Victoria Luzón, Francisco Herrera
In this paper, we propose an Interpretable Client Decision Tree Aggregation process for Federated Learning scenarios that keeps the interpretability and the precision of the base decision trees used for the aggregation.
no code implementations • 22 Mar 2024 • Cristina Zuheros, David Herrera-Poyatos, Rosana Montes, Francisco Herrera
This paper analyzes the use of ChatGPT based on prompt design strategies to assist in CDM processes to extract opinions and make decisions.
no code implementations • 1 Feb 2024 • Rosana Montes, Cristina Zuheros, Jeovani M. Morales, Noe Zermeño, Jerónimo Duran, Francsico Herrera
Considering the real need to evaluate a b-learning educational experience with a consensual questionnaire, we present a Decision Making model for questionnaire validation that solves it.
1 code implementation • 31 Jul 2020 • Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera
We claim that the use of sentiment analysis will allow decision making models to consider expert evaluations in natural language.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1