Listar GI-LIDIA - Artigos por autor "Bobes-Bascarán, José"

Mostrando ítems 1-2 de 2

    • Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach 

      Mosqueira-Rey, E.; Hernández-Pereira, Elena; Bobes-Bascarán, José; Alonso Ríos, David; Pérez-Sánchez, Alberto; Fernández-Leal, Ángel; Moret-Bonillo, Vicente; Vidal-Ínsua, Yolanda; Vázquez-Rivera, Francisca (Springer Nature, 2023-11)
      [Abstract]: Any machine learning (ML) model is highly dependent on the data it uses for learning, and this is even more important in the case of deep learning models. The problem is a data bottleneck, i.e. the difficulty ...

    • Human-in-the-loop machine learning: a state of the art 

      Mosqueira-Rey, E.; Hernández-Pereira, Elena; Alonso Ríos, David; Bobes-Bascarán, José; Fernández-Leal, Ángel (Springer Nature, 2023-04)
      [Abstract]: Researchers are defining new types of interactions between humans and machine learning algorithms generically called human-in-the-loop machine learning. Depending on who is in control of the learning process, ...