Listar por autor "Bobes-Bascarán, José"

Mostrando ítems 1-4 de 4

    • A classification and review of tools for developing and interacting with machine learning systems 

      Mosqueira-Rey, E.; Hernández-Pereira, Elena; Alonso Ríos, David; Bobes-Bascarán, José (Association for Computing Machinery, 2022)
      [Abstract] In this paper we aim to bring some order to the myriad of tools that have emerged in the field of Artificial Intelligence (AI), focusing on the field of Machine Learning (ML). For this purpose, we suggest a ...

    • 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 ...

    • Improving Medical Data Annotation Including Humans in the Machine Learning Loop 

      Bobes-Bascarán, José; Mosqueira-Rey, E.; Alonso Ríos, David (MDPI, 2021)
      [Abstract] At present, the great majority of Artificial Intelligence (AI) systems require the participation of humans in their development, tuning, and maintenance. Particularly, Machine Learning (ML) systems could greatly ...

    • Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment 

      Bobes-Bascarán, José; Fernández-Leal, Ángel; Mosqueira-Rey, E.; Alonso Ríos, David; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The increasing adoption of artificial intelligent systems at sensitive domains where humans are particularly, such as medicine, has provided the context to deeply explore ways of making machine learning models ...