• Conference Object  

      An overview of quantitative magnetic resonance imaging analysis studies in the assessment of alzheimer’s disease 

      Leandrou, Stephanos; Petroudi, Styliani; Kyriacou, Panicos A.; Reyes-Aldasoro, C. C.; Pattichis, Constantinos S. (Springer Verlag, 2016)
      Medical image analysis and visualization, can contribute in quantitative and qualitative analysis of Magnetic Resonance Imaging (MRI) towards an earlier diagnosis of Alzheimer’s disease (AD). Moreover, the early detection ...
    • Article  

      A probabilistic reasoning approach for discovering web crawler sessions 

      Stassopoulou, Athena; Dikaiakos, Marios D. (2007)
      In this paper we introduce a probabilistic-reasoning approach to detect Web robots (crawlers) from human visitors of Web sites. Our approach employs a Naive Bayes network to classify the HTTP sessions of a Web-server access ...
    • Conference Object  

      The protein structure prediction module of the prot-grid information system 

      Vogiatzis, Dimitrios G.; Frosyniotis, Dimitrios; Papadopoulos, George Angelos (Escola Superior de Tecnologia do Instituto Politecnico de Setubal, 2003)
      In this work, we describe the protein secondary structure prediction module of a distributed bio-informatics system. Protein databases contain over a million of sequenced proteins, however there is structuring information ...
    • Conference Object  

      A requirements engineering methodology based on natural language syntax and semantics 

      Georgiades, M. G.; Andreou, Andreas S.; Pattichis, Constantinos S. (2005)
      The present paper proposes a methodology for engineering requirements in a precise, comprehensive, understandable and time-saving way based on concepts and principles of Natural Language Syntax and Semantics (NLSS). The ...
    • Conference Object  

      Securing mobile healthcare systems based on information classification: DITIS case study 

      Stavrou, Eliana; Pitsillides, Andreas (2006)
      Healthcare applications require special attention regarding security issues since healthcare is associated with mission critical services that are connected with the well being of life. Security raises special considerations ...
    • 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 ...