• Conference Object  

      Continuous all k-nearest-neighbor querying in smartphone networks 

      Chatzimilioudis, Georgios; Zeinalipour-Yazdi, Constantinos D.; Lee, W. -C; Dikaiakos, Marios D. (2012)
      Consider a centralized query operator that identifies to every smart phone user its k geographically nearest neighbors at all times, a query we coin Continuous All k-Nearest Neighbor (CAkNN). Such an operator could be ...
    • Conference Object  

      Distributed in-memory processing of All K Nearest Neighbor queries 

      Chatzimilioudis, Georgios; Costa, Constantinos; Zeinalipour-Yazdi, Constantinos D.; Lee, W. -C; Pitoura, Evaggelia 1967- (Institute of Electrical and Electronics Engineers Inc., 2016)
      A wide spectrum of Internet-scale mobile applications, ranging from social networking, gaming and entertainment to emergency response and crisis management, all require efficient and scalable All k Nearest Neighbor (AkNN) ...
    • Article  

      Multi-scale AM-FM analysis for the classification of surface electromyographic signals 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S.; Kyriakides, Theodoros (2012)
      In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...
    • Conference Object  

      Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset 

      Karatsiolis, Savvas; Schizas, Christos N. (2012)
      The problem of diagnosing Pima Indian Diabetes from data obtained from the UCI Repository of Machine Learning Databases[6] is handled with a modified Support Vector Machine strategy. Performance comparison with previous ...