Envíos recientes

  • Proteomic profiling of human menisci from mild joint degeneration and end-stage osteoarthritis versus healthy controls 

    Paz-González, Rocío; Turkiewicz, Aleksandra; Ali, Neserin; Ruiz-Romero, Cristina; Blanco García, Francisco J; Englund, Martin; Önnerfjord, Patrik (Elsevier, 2023-12)
    [Abstract] Objective. To gain new insight into the molecular changes of the meniscus by comparing the proteome profiles of healthy controls with mild degeneration and end-stage osteoarthritis (OA). Method. We obtained ...
  • Wearable Postural Control System for Low Back Pain Therapy 

    Rodriguez, Alvaro; Rabuñal, Juan R.; Pazos, A.; Rodríguez-Sotillo, A.; Ezquerra, Norberto (IEEE, 2021-02)
    [Abstract]: Treatment of low back pain usually includes exercise, analgesics, prostheses, and, in severe cases, surgery. Early treatments based on postural control are essential to prevent low back pain and mitigate permanent ...
  • A review of 28 free animal tracking software: current features and limitations 

    Panadeiro Castro, Verónica; Rodriguez, Alvaro; Henry, Jason; Wlodkowic, Donald; Andersson, Magnus (Springer Nature, 2021-09)
    [Abstract]: Well-quantified laboratory studies can provide a fundamental understanding of animal behavior in ecology, ethology and ecotoxicology research. These types of studies require observation and tracking of each ...
  • On developing an automatic threshold applied to feature selection ensembles 

    Seijo Pardo, Borja; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (Elsevier, 2019-01)
    [Abstract]: Feature selection ensemble methods are a recent approach aiming at adding diversity in sets of selected features, improving performance and obtaining more robust and stable results. However, using an ensemble ...
  • Distributed correlation-based feature selection in spark 

    Palma-Mendoza, Raul-Jose; de-Marcos, Luis; Rodriguez, Daniel; Alonso-Betanzos, Amparo (Elsevier, 2019-09)
    [Abstract]: Feature selection (FS) is a key preprocessing step in data mining. CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains. We ...