Listar Information Retrieval Lab (IRlab) por autor "Barreiro, Álvaro"

Mostrando ítems 1-4 de 4

    • Automatic depression score estimation with word embedding models 

      Pérez, Anxo; Parapar, Javier; Barreiro, Álvaro (Elsevier, 2022)
      [Abstract]: Depression is one of the most common mental health illnesses. The biggest obstacle lies in an efficient and early detection of the disorder. Self-report questionnaires are the instruments used by medical experts ...

    • Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost 

      Otero, David; Valcarce, Daniel; Parapar, Javier; Barreiro, Álvaro (M D P I AG, 2019-08-01)
      [Abstract] Information Retrieval is not any more exclusively about document ranking. Continuously new tasks are proposed on this and sibling fields. With this proliferation of tasks, it becomes crucial to have a cheap way ...

    • Priors for Diversity and Novelty on Neural Recommender Systems 

      Landin, Alfonso; Valcarce, Daniel; Parapar, Javier; Barreiro, Álvaro (M D P I AG, 2019-07-31)
      [Abstract] PRIN is a neural based recommendation method that allows the incorporation of item prior information into the recommendation process. In this work we study how the system behaves in terms of novelty and diversity ...

    • 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 ...