Výsledky vyhledávání - "Zuheros, Cristina"

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FLEX: FLEXible Federated Learning Framework

Autor: Herrera, Francisco, Jiménez-López, Daniel, Argente-Garrido, Alberto, Rodríguez-Barroso, Nuria, Zuheros, Cristina, Aguilera-Martos, Ignacio, Bello, Beatriz, García-Márquez, Mario, Luzón, M. Victoria

In the realm of Artificial Intelligence (AI), the need for privacy and security in data processing has become paramount. As AI applications continue to expand, the collection and handling of sensitive data raise concerns about individual privacy prot

Externí odkaz: http://arxiv.org/abs/2404.06127

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An Interpretable Client Decision Tree Aggregation process for Federated Learning

Autor: Argente-Garrido, Alberto, Zuheros, Cristina, Luzón, M. Victoria, Herrera, Francisco

Trustworthy Artificial Intelligence solutions are essential in today's data-driven applications, prioritizing principles such as robustness, safety, transparency, explainability, and privacy among others. This has led to the emergence of Federated Le

Externí odkaz: http://arxiv.org/abs/2404.02510

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

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

Social Media and Internet have the potential to be exploited as a source of opinion to enrich Decision Making solutions. Crowd Decision Making (CDM) is a methodology able to infer opinions and decisions from plain texts, such as reviews published in

Externí odkaz: http://arxiv.org/abs/2403.15587

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Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool

Autor: Montes, Rosana, Zuheros, Cristina, Morales, Jeovani M., Zermeño, Noe, Duran, Jerónimo, Herrera, Francsico

Publikováno v: Open Access Volume 147 November 2023 Article number 110755

Classic Delphi and Fuzzy Delphi methods are used to test content validity of data collection tools such as questionnaires. Fuzzy Delphi takes the opinion issued by judges from a linguistic perspective reducing ambiguity in opinions by using fuzzy num

Externí odkaz: http://arxiv.org/abs/2402.01775

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Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviews

Autor: Zuheros, Cristina, Martínez-Cámara, Eugenio, Herrera-Viedma, Enrique, Herrera, Francisco

Decision making models are constrained by taking the expert evaluations with pre-defined numerical or linguistic terms. We claim that the use of sentiment analysis will allow decision making models to consider expert evaluations in natural language.

Externí odkaz: http://arxiv.org/abs/2008.00032

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