Laboratorio de Inteligencia Artificial

 

La misión del Laboratorio de Inteligencia Artificial gira en torno a tres ejes:

  • La investigación científica de vanguardia que busca expandir las fronteras de lo posible gracias a las nuevas tecnologías
  • La educación en forma articulada con las materias de Inteligencia Artificial de la Licenciatura en Tecnología Digital y de otras carreras de la Universidad Torcuato Di Tella
  • La transferencia y aplicación de conocimientos en empresas de base tecnológica y en proyectos de diversas disciplinas relevantes para la sociedad

    • Colecciones en esta sección

    Envíos recientes

    • Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue 

      Ernst, Erik; Gálvez, Ramiro; Gravano, Agustín (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 

      Gravano, Agustín; González, Joaquín E.; Nieto, Nicolás; Brusco, Pablo; Kamienkowski, Juan E. (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 

      Romanisio, Alejandro; Gravano, Agustín (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 

      Meza, Martín; Gauder, Lara; Estienne, Lautaro; Barchi, Ricardo; Gravano, Agustín; Riera, Pablo; Ferrer, Luciana (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 

      Iarussi, Emmanuel; Thomsen, Felix S. L.; Borggrefe, Jan; Boyd, Steven K.; Wang, Yue; Battié, Michele C. (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 

      Gravano, Agustín; Pérez, Juan Manuel; Luque, Franco M; Zeyat, Demián; Kondratzky, Martín; Moro, Agustín; Serrati, Pablo Santiago; Zajac, Joaquín; Miguel, Paula; Debandi, Natalia; Cotik, Viviana (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 ...

    • Exploiting user-frequency information for mining regionalisms in Argentinian Spanish from Twitter 

      Gravano, Agustín; Pérez, Juan Manuel; Aleman, Damian E.; Kalinowski, Santiago N. (Procesamiento del Lenguaje Natural, Revista, 2022)
      The task of detecting regionalisms (expressions or words used in certain regions) has traditionally relied on the use of questionnaires and surveys, heavily depending on the expertise and intuition of the surveyor. The ...