Laboratorio de Inteligencia Artificial
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La misión del Laboratorio de Inteligencia Artificial gira en torno a tres ejes:
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Actas de conferencias, simposios, reuniones y seminarios
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Artículos presentados, aceptados y publicados
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Recent Submissions
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DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
(CVPR 2024, Conference on Computer Vision and Pattern Recognition, 2024-06-19)In recent years, there has been a growing interest in training Neural Networks to approximate Unsigned Distance Fields (UDFs) for representing open surfaces in the context of 3D reconstruction. However, UDFs are ... -
Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue
(IBERAMIA 2024. 18th Ibero-American Conference on Artificial Intelligence, 2024-11)Speech entrainment, particularly acoustic-prosodic (a/p) entrainment, has gained significant interest in recent years for its implications on social interaction and dialogue systems. However, measuring a/p entrainment ... -
Speech-induced suppression during natural dialogue
(Communications Biology (ISSN 2399-3642), 2024)When engaged in a conversation, one receives auditory information from the other’s speech but also from their own speech. However, this information is processed differently by an effect called Speech-Induced Suppression. ... -
Predicción de la satisfacción del usuario a partir de chats de atención al cliente
(Memorias de las JAIIO, 2023)Los servicios de atención al cliente son determinantes de la experiencia de usuario de las empresas Fintech. Este trabajo busca entender, empleando técnicas de machine learning, qué factores llevan a ... -
Teamwork Quality Prediction Using Speech-Based Features
(SMM23, Workshop on Speech, Music and Mind 2023, 2023)This paper describes a novel protocol for annotating teamwork quality and related variables, based only on the speech signal. Our protocol was designed to annotate a Spanish version of the Objects Games corpus, a publicly ... -
Bone-GAN: Generation of virtual bone microstructure of high resolution peripheral quantitative computed tomography
(Medical PhysicsAmerican Association of Physicists in Medicine, 2023)Background:Data-driven development of medical biomarkers of bone requires a large amount of image data but physical measurements are generally too restricted in size and quality to perform a robust training. Purpose: ... -
Assessing the Impact of Contextual Information in Hate Speech Detection
(2023)Social networks and other digital media deal with huge amounts of user-generated contents where hate speech has become a problematic more and more relevant. A great effort has been made to develop automatic tools for its ...