Browsing by Subject "Classification algorithm"

Now showing items 1-5 of 5

    • Conference Object  

      CogniMouse: On detecting users' task completion difficulty through computer mouse interaction 

      Belk, Marios; Portugal, D.; Christodoulou, Eleni; Samaras, George S. (Association for Computing Machinery, 2015)
      This paper presents a method for analyzing users' computer mouse interaction data with the aim to implicitly identify task completion difficulty while interacting with a system. Computer mouse motion streams and users' ...
    • Article  

      Creating and utilizing section-level Web service tags in service replaceability 

      Kapitsaki, Georgia M. (2017)
      Web Services are used as reusable components in different types of applications. The correct discovery, combination and sequential use are main problems in Web service-based applications. In order to solve these issues, ...
    • Conference Object  

      Effects of stress on fricatives: Evidence from Standard Modern Greek 

      Themistocleous, Charalambos; Savva, Angelandria; Aristodemou, Andrie (International Speech and Communication Association, 2016)
      This study investigates the effects of stress on the spectral properties of fricative noise in Standard Modern Greek (SMG). Twenty female speakers of SMG participated in the study. Fricatives were produced in stressed and ...
    • Article  

      Feature mapping through maximization of the atomic interclass distances 

      Karatsiolis, Savvas; Schizas, Christos N. (2015)
      We discuss a way of implementing feature mapping for classification problems by expressing the given data through a set of functions comprising of a mixture of convex functions. In this way, a certain pattern’s potential ...
    • 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 ...