• Conference Object  

      Towards a versatile Surface Electromyography classification system 

      Barmpakos, D.; Strimpakos, N.; Karkanis, S. A.; Pattichis, Constantinos S. (Springer Verlag, 2016)
      The use of sEMG signals for the movement classification plays an important role in various applications from robotics to effective prosthetic limbs control. The performance of the classification scheme is severely influenced ...
    • Conference Object  

      Variable target values neural network for dealing with extremely imbalanced datasets 

      Karatsiolis, Savvas; Schizas, Christos N. (Springer Verlag, 2016)
      An original classification algorithm is proposed for dealing with extremely imbalanced datasets that often appear in biomedical problems. Its originality comes from the way a neural network is trained in order to get a ...