Listar por tema "Inteligencia artificial explicable"
Mostrando ítems 1-3 de 3
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Aprendizaje positivo sin etiquetas (PU Learning) para la mejora de la explicabilidad
(2023)[Resumen]: El objetivo de este trabajo consiste en establecer una nueva metodología que mediante el uso de datos de mayor calidad, permita que los sistemas de recomendación sean más precisos, explicables y personalizados. ... -
Explanation algorithm for anomalies in mixed categorical-continuous spaces using local explainability techniques
(2023)[Abstract] In this project, we present the use of the local explainability techniques Local Interpretable Model-agnostic Explanation (LIME) and SHapley Additive exPlanations (SHAP) for creating a new layer of explanations ... -
Personalization in Recommender Systems through Explainable Machine Learning
(2021)[Abstract]: Recommender Systems have become ubiquitously utilized tools in multiple fields such as media streaming services, travelling and tourism business, e-commerce, and numerous others. However, in practice they ...