Browsing by Subject "Learning systems"

Now showing items 21-35 of 35

    • Conference Object  

      Learning laws exponential error convergence for recurrent neural networks 

      Kosmatopoulos, Elias B.; Christodoulou, Manolis A.; Ioannou, Petros A. (Publ by IEEE, 1993)
      In this paper, we propose new learning laws for adjusting the weights of recurrent high order neural networks (RHONN) when they are used to system identification problems. The main advantages of these learning laws over ...
    • Article  

      Learning non-monotonic logic programs: Learning exceptions 

      Dimopoulos, Yannis; Kakas, Antonis C. (1995)
      In this paper we present a framework for learning non-monotonic logic programs. The method is parametric on a classical learning algorithm whose generated rules are to be understood as default rules. This means that these ...
    • Conference Object  

      Marine propeller design using artificial neural networks 

      Neocleous, Constantinos C.; Schizas, Christos N. (IEEE, 1999)
      The proper selection of marine propellers is in general an involved and time-consuming design task. It is mostly based on searching large mounts of experimental data in order to find a proper matching of performance ...
    • Conference Object  

      Multi feature texture analysis for the classification of carotid plaques 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Pantzaris, Marios C.; Tegos, Thomas J.; Nicolaïdes, Andrew N.; Elatrozy, Tarek S.; Sabetai, Michael; Dhanjil, S. (IEEE, 1999)
      The objective of this work was to develop a computer aided system which will facilitate the automated characterization of carotid plaques recorded from high resolution ultrasound images for the identification of individuals ...
    • Article  

      Personalized Driver/Vehicle Lane Change Models for ADAS 

      Butakov, V.; Ioannou, Petros A. (2015)
      Lane changes are stressful maneuvers for drivers, particularly during high-speed traffic flows. Advanced driver-assistance systems (ADASs) aim to assist drivers during lane change maneuvers. A system that is developed for ...
    • Conference Object  

      A preliminary study on learners' physiological measurements in educational hypermedia 

      Tsianos, Nikos; Lekkas, Zacharias; Mourlas, Constantinos; Germanakos, Panagiotis; Saliarou, A.; Samaras, George S. (2010)
      This paper presents the findings of a preliminary study about the use of bio-feedback sensors in the context of an educational hypermedia environment
    • 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 ...
    • Article  

      Report on the workshop on Metadata Management in Grid and Peer-to-Peer Systems, London, December 16 2003 

      Keenoy, K.; Poulovassilis, A.; Christophides, V.; Loizou, G.; Kokkinidis, G.; Samaras, George S.; Spyratos, N. (2004)
      A workshop on Metadata Management System in Grid and peer-to-Peer system was held in the Senete House of the University of London on December 16, 2003. The first session of the work shop contained three presentations on ...
    • Conference Object  

      A robotic cloud ecosystem for elderly care and ageing well: The GrowMeUp approach 

      Georgiadis, Dimosthenis; Christophorou, C.; Kleanthous, Styliani; Andreou, Panayiotis G.; Santos, L.; Christodoulou, Eleni; Samaras, George S. (Springer Verlag, 2016)
      Robotic systems in Ageing Well, like GrowMeUp, are among those assistive technologies, providing companionship and offering functionality related to the support of active and independent living, monitoring and maintaining ...
    • Conference Object  

      Scalable and dynamic global power management for multicore chips 

      Otoom, M.; Trancoso, Pedro; Almasaeid, H.; Alzubaidi, M. (Association for Computing Machinery, 2015)
      The design for continuous computer performance is increasingly becoming limited by the exponential increase in the power consumption. In order to improve the energy efficiency of multicore chips, we propose a novel global ...
    • Article  

      Sensitivity analysis of a neural network used for the forecasting of electric power load 

      Neocleous, Costas K.; Papazoglou, Thales M.; Schizas, Christos N.; Stratakis, Dimitrios I. (1999)
      A feedforward multilayer neural network has been used for the estimation of the four-hour-ahead electric load in Power Plant in the island of Crete. An attempt was made to use few variables for the input vector, while ...
    • Article  

      Training bidirectional recurrent neural network architectures with the scaled conjugate gradient algorithm 

      Agathocleous, Michalis; Christodoulou, Chris C.; Promponas, Vasilis J.; Kountouris, P.; Vassiliades, Vassilis (2016)
      Predictions on sequential data, when both the upstream and downstream information is important, is a difficult and challenging task. The Bidirectional Recurrent Neural Network (BRNN) architecture has been designed to deal ...
    • 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 ...
    • 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 ...
    • Article  

      Working memory span and E-learning: The effect of personalization techniques on learners' performance 

      Tsianos, Nikos; Germanakos, Panagiotis; Lekkas, Zacharias; Mourlas, Constantinos; Samaras, George S. (2010)
      This research paper presents the positive effect of incorporating individuals' working memory (WM) span as a personalization factor in terms of improving users' academic performance in the context of adaptive educational ...