Listar por autor "Losada, David E."

Mostrando ítems 1-4 de 4

    • Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries 

      Aragón, Mario Ezra; Parapar, Javier; Losada, David E. (Association for Computational Linguistics, 2024-03)
      [Abstract]: Depression is a global concern suffered by millions of people, significantly impacting their thoughts and behavior. Over the years, heightened awareness, spurred by health campaigns and other initiatives, has ...

    • eRisk 2020: autolesiones y desafíos de la depresión 

      Losada, David E.; Crestani, Fabio; Parapar, Javier (Springer, 2020-04-08)
      [Abstract] This paper describes eRisk, the CLEF lab on early risk prediction on the Internet. eRisk started in 2017 as an attempt to set the experimental foundations of early risk detection. Over the last three editions ...

    • Using machine learning techniques to predict adolescents’ involvement in family conflict 

      López-Larrosa, Silvia; Sánchez Souto, Vanesa; Losada, David E.; Parapar, Javier; Barreiro, Álvaro; Ha, Anh P.; Cummings, E. Mark (2022)
      [Abstract] Many cases of violence against children occur in homes and other close environments. Machine leaning is a novel approach that addresses important gaps in ways of examining this socially significant issue, ...

    • Using score distributions to compare statistical significance tests for information retrieval evaluation 

      Parapar, Javier; Losada, David E.; Presedo-Quindimil, Manuel-Antonio; Barreiro, Álvaro (Willey, 2019-01-11)
      [Abstract] Statistical significance tests can provide evidence that the observed difference in performance between two methods is not due to chance. In Information Retrieval, some studies have examined the validity and ...