• Conference Object  

      Convergence of belief propagation algorithms on binary pairwise Gibbs random fields 

      Le, T.; Hadjicostis, Christoforos N. (2011)
      In this paper, we study the convergence of belief propagation algorithms (BPAs) on binary pairwise Gibbs random fields (BP-GRFs). Exploiting the equivalence of BPA on the graph associated with BP-GRF and the corresponding ...
    • Conference Object  

      Crawler detection: A Bayesian approach 

      Stassopoulou, Athena; Dikaiakos, Marios D. (2006)
      In this paper, we introduce a probabilistic modeling approach for addressing the problem of Web robot detection from Web-server access logs. More specifically, we construct a Bayesian network that classifies automatically ...
    • Article  

      Position and velocity tracking in mobile networks using particle and Kalman filtering with comparison 

      Olama, M. M.; Djouadi, S. M.; Papageorgiou, I. G.; Charalambous, Charalambos D. (2008)
      This paper presents several methods based on signal strength and wave scattering models for tracking a user. The received-signal level method is first used in combination with maximum likelihood (ML) estimation and ...
    • Article  

      Temporal abstraction and temporal Bayesian networks in clinical domains: a survey 

      Orphanou, Kalia; Stassopoulou, Athena; Keravnou-Papailiou, Elpida T. (2014)
      Objectives: Temporal abstraction (TA) of clinical data aims to abstract and interpret clinical data into meaningful higher-level interval concepts. Abstracted concepts are used for diagnostic, prediction and therapy planning ...
    • Article  

      Web robot detection: A probabilistic reasoning approach 

      Stassopoulou, Athena; Dikaiakos, Marios D. (2009)
      In this paper, we introduce a probabilistic modeling approach for addressing the problem of Web robot detection from Web-server access logs. More specifically, we construct a Bayesian network that classifies automatically ...