Envíos recentes

  • PlayNet: real-time handball play classification with Kalman embeddings and neural networks 

    Mures, Omar A.; Taibo, Javier; Padrón, Emilio J.; Iglesias-Guitián, José A. (Springer, 2024)
    [Abstract] Real-time play recognition and classification algorithms are crucial for automating video production and live broadcasts of sporting events. However, current methods relying on human pose estimation and deep ...
  • A comprehensive handball dynamics dataset for game situation classification 

    Mures, Omar A.; Taibo, Javier; Padrón, Emilio J.; Iglesias-Guitián, José A. (Elsevier, 2023)
    [Abstract] This article presents a comprehensive dataset of labeled game situations obtained from multiple professional handball matches, which corresponds to the research paper entitled “PlayNet: Real-time Handball Play ...
  • Ensemble and continual federated learning for classification tasks 

    Casado, Fernando E.; Lema, Dylan; Iglesias, Roberto; Regueiro, Carlos V.; Barro, Senén (Springer, 2023-09)
    [Abstract]: Federated learning is the state-of-the-art paradigm for training a learning model collaboratively across multiple distributed devices while ensuring data privacy. Under this framework, different algorithms have ...
  • Land consolidation through parcel exchange among landowners using a distributed Spark-based genetic algorithm 

    Teijeiro, Diego; Amor, Margarita; Doallo, Ramón; Corbelle-Rico, Eduardo; Porta, Juan; Parapar López, Jorge (Springer, 2022-12)
    [Abstract]: Land consolidation is an essential tool for public administrations to reduce the fragmentation of land ownership. In particular, parcel exchange shows promising potential for restructuring parcel holdings, even ...
  • EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences 

    Barbera, Pierre; Kozlov, Alexey M.; Czech, Lucas; Morel, Benoit; Darriba, Diego; Flouri, Tomas; Stamatakis, Alexandros (Oxford University Press, 2019-03-01)
    [Abstract]: Next generation sequencing (NGS) technologies have led to a ubiquity of molecular sequence data. This data avalanche is particularly challenging in metagenetics, which focuses on taxonomic identification of ...

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