Envíos recientes 

2026: Envíos recientes

Mostrando ítems 7-9 de 12

    • Multi-Class Dental CBCT Segmentation in Data- Constrained Scenarios Through Transformers 

      Giménez-Aguilar, Rafael C.; Paraíso-Medina, Sergio; García-Remesal, Miguel; Pradíes Ramiro, Guillermo Jesús; Bonfanti-Gris, Monica; Alonso-Calvo, Raúl (UNIR, 26/03/2026)
      Accurate segmentation of dental structures from cone-beam computed tomography (CBCT) images has become an active research field due to the widespread use of this technology in clinical practice. In recent years, contributions ...

    • Robust Federated Learning With Contrastive Learning and Meta-Learning 

      Zhang, Huan; Chen, Yuxian; Li, Kuanching; Li, Yuhui; Zhou, Sisi; Liang, Wei; Poniszewska-Maranda, Aneta (UNIR, 26/03/2026)
      Federated learning is regarded as an effective approach to addressing data privacy issues in the era of artificial intelligence. Still, it faces the challenges of unbalanced data distribution and client vulnerability to ...

    • PRESTO: A Recommender of Musical Collaborations Based on Heterogeneous Graph Neural Networks 

      Terroso-Saenz, Fernando; Soto, Jesús; Muñoz, Andrés; Roose, Philippe (UNIR, 26/02/2026)
      The music industry is now more complex and competitive than ever before. In recent years, the search for collaborations with other artists has become a common strategy for musicians to maintain their presence in the sector. ...