Escuela de Negocios: Envíos recientes

Mostrando ítems 36-42 de 146

    • Learning normal asymmetry representations for homologous brain structures 

      Bendersky, Mariana; Iarussi, Emmanuel; Deangeli, Duilio; Princich, Juan Pablo; Larrabide, Ignacio; Orlando, José Ignacio (Universidad Torcuato Di Tella, 2023)
      Although normal homologous brain structures are approximately symmetrical by definition, they also have shape differences due to e.g. natural ageing. On the other hand, neurodegenerative conditions induce their own changes ...

    • VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis 

      Feldman, Paula; Fainstein, Miguel; Siless, Viviana; Iarussi, Emmanuel; Delrieux, Claudio (Universidad Torcuato Di Tella, 2023)
      We present a data-driven generative framework for synthesizing blood vessel 3D geometry. This is a challenging task due to the complexity of vascular systems, which are highly variating in shape, size, and structure. ...

    • 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 ...

    • Demand Estimation under Uncertain Consideration Sets 

      Vulcano, Gustavo; Jagabathula, Srikanth; Mitrofanov, Dmitry (Operations Research (ISSN: 0030-364X), 2023-09)
      To estimate customer demand, choice models rely both on what the individuals do and do not purchase. A customer may not purchase a product because it was not offered but also because it was not considered. To account for ...

    • Partisanship predicts COVID-19 vaccine brand preference: the case of Argentina 

      Fumagalli, Elena; Krick, Candelaria Belén; Dolmatzian, Marina Belén; del Negro, Julieta Edith; Navajas, Joaquin (Humanities and Social Sciences Communications (Humanit Soc Sci Commun) ISSN 2662-9992 (online), 2023)
      The COVID-19 pandemic underscored the significance of overcoming vaccine adoption resistance and addressing real and perceived barriers for efficient vaccination campaigns. One major problem faced by health systems around ...

    • Interactive Crowdsourcing to Fact-check Politicians 

      Espina Mairal, Santos; Bustos, Florencia; Solovey, Guillermo; Navajas, Joaquin (Journal of Experimental Psychology: Applied, 2023)
      The discourse of political leaders often contains false information that can misguide the public. Fact-checking agencies around the world try to reduce the negative influence of politicians by verifying their words. However, ...