• Approximate kNN Classification for Biomedical Data 

      Anagnostou P., Barbas P., Vrahatis A.G., Tasoulis S.K. (2020)
      We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increase, the need for new machine learning methods to handle this evolution ...
    • Bayesian uncertainty quantification and propagation in nonlinear structural dynamics 

      Giagopoulos, D.; Papadioti, D. C.; Papadimitriou, C.; Natsiavas, S. (2013)
      A Bayesian uncertainty quantification and propagation (UQ&P) framework is presented for identifying nonlinear models of dynamic systems using vibration measurements of their components. The measurements are taken to be ...
    • Bayesian uncertainty quantification and propagation in nonlinear structural dynamics 

      Giagopoulos, D.; Papadioti, D. C.; Papadimitriou, C.; Natsiavas, S. (2009)
      Nonlinear modelling and parametric identification of an experimental vehicle model, are employed in this paper. The composite structure of the vehicle model is split into a frame substructure and to four support substructures. ...