Laboratorio de Investigación e Desenvolvemento en Intelixencia Artificial (LIDIA): Envíos recentes
Mostrando ítems 6-10 de 90
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Mujeres en Ciencias de la Computación: presencial desigual y tipos de enseñanza
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2022)[Abstract]: Teaching is a historically feminized profession, however, the presence of women is unequal according to educational levels, academic subjects or decision-making positions. The differences by educational segment ... -
Towards federated feature selection: Logarithmic division for resource-conscious methods
(Elsevier, 2024)[Abstract]: Feature selection is a popular preprocessing step to reduce the dimensionality of the data while preserving the important information. In this paper, we propose an efficient and green feature selection method ... -
A review of green artificial intelligence: Towards a more sustainable future
(Elsevier B.V., 2024-09-28)[Abstract]: Green artificial intelligence (AI) is more environmentally friendly and inclusive than conventional AI, as it not only produces accurate results without increasing the computational cost but also ensures that ... -
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability
(Elsevier B.V., 2024-11)[Abstract]: Recommender Systems have become crucial in the modern world, commonly guiding users towards relevant content or products, and having a large influence over the decisions of users and citizens. However, ensuring ... -
Gamifying Machine Teaching: Human-in-the-Loop Approach for Diphthong and Hiatus Identification in Spanish Language
(Elsevier B.V., 2023)[Abstract]: Human-in-the-Loop Machine Learning (HITL-ML) is a set of techniques that attempt to actively involve experts into the learning loop of machine learning (ML) models. One of these techniques is Machine Teaching ...