Browsing by Subject "Neural networks"

Now showing items 21-40 of 116

    • Conference Object  

      Automated segmentation of folk songs using artificial neural networks 

      Neocleous, Andreas C.; Petkov, N.; Schizas, Christos N. (INSTICC Press, 2014)
      Two different systems are introduced, that perform automated audio annotation and segmentation of Cypriot folk songs into meaningful musical information. The first system consists of three artificial neural networks (ANNs) ...
    • Article  

      Autoregressive and cepstral analyses of motor unit action potentials 

      Pattichis, Constantinos S.; Elia, Andreas G. (1999)
      Quantitative electromyographic signal analysis in the time domain for motor unit action potential (MUAP) classification and disease identification has been well documented over recent years. Considerable work has also been ...
    • Article  

      Behavioral plasticity through the modulation of switch neurons 

      Vassiliades, Vassilis; Christodoulou, Chris C. (2016)
      A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by ...
    • Article  

      Bid mark-up selection using artificial neural networks and an entropy metric 

      Christodoulou, Symeon E. (2010)
      The purpose of the paper is to perform bid mark-up optimisation through the use of artificial neural networks (ANN) and a metric of the selected bid mark-up's derived entropy. The scope is to provide an alternative, ...
    • Conference Object  

      A biologically inspired neural network composed of dissimilar single neuron models 

      Poirazi, Panayiota; Neocleous, Costas K.; Pattichis, Constantinos S.; Schizas, Christos N. (2001)
      A multilayer neural network has been developed that consists of slabs of single neuron models. Each slab is composed of a single type of neutrons, which differs between the slabs. The network was trained using a biologically ...
    • Article  

      Brain white matter lesion classification in multiple sclerosis subjects for the prognosis of future disability 

      Loizou, Christos P.; Kyriacou, Efthyvoulos C.; Seimenis, Ioannis; Pantzaris, Marios C.; Petroudi, Styliani; Karaolis, Minas A.; Pattichis, Constantinos S. (2013)
      This study investigates the application of classification methods for the prognosis of future disability on MRI-detectable brain white matter lesions in subjects diagnosed with clinical isolated syndrome (CIS) of multiple ...
    • Article  

      Classification capacity of a modular neural network implementing neurally inspired architecture and training rules 

      Poirazi, Panayiota; Neocleous, Costas K.; Pattichis, Constantinos S.; Schizas, Christos N. (2004)
      A three-layer neural network (NN) with novel adaptive architecture has been developed. The hidden layer of the network consists of slabs of single neuron models, where neurons within a slab-but not between slabs- have the ...
    • Article  

      Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images 

      Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Pattichis, Constantinos S.; Mavrommatis, A.; Christodoulou, Christodoulos I.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2009)
      The aim of this study was to investigate the usefulness of multilevel binary and gray scale morphological analysis in the assessment of atherosclerotic carotid plaques. Ultrasound images were recorded from 137 asymptomatic ...
    • Article  

      Classification of rainfall variability by using artificial neural networks 

      Michaelides, Silas C.; Pattichis, Constantinos S.; Kleovoulou, Georgia (2001)
      In this paper, the usefulness of artificial neural networks (ANNs) as a suitable tool for the study of the medium and long-term climatic variability is examined. A method for classifying the inherent variability of climate ...
    • Conference Object  

      Classification of satellite cloud imagery based on multi-feature texture analysis and neural networks 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S.; Kyriakou, Kyriaki (2001)
      The aim of this work was to develop a system based on modular neural networks and multi-feature texture analysis that will facilitate the automated interpretation of cloud images. This will speed up the interpretation ...
    • Article  

      Coefficient of variation vs. mean interspike interval curves: What do they tell use about the brain? 

      Christodoulou, Chris C.; Bugmann, G. (2001)
      A number of models have been produced recently to explain the high variability of natural spike trains (Softky and Koch, J. Neurosci. 13 (1) (1993) 334). These models use a range of different biological mechanisms including ...
    • Article  

      Cognitive modeling of dilution effects in visual search 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Neocleous, Costas K.; Schizas, Christos N. (2012)
      A biologically plausible neural network model of selective attention has been implemented to account for discrepant findings on the source of distractor interference in visual search tasks. The model successfully simulated ...
    • Conference Object  

      Color based texture - Classification of hysteroscopy images of the endometrium 

      Neofytou, Marios S.; Tanos, Vasilios; Pattichis, Marios S.; Pattichis, Constantinos S.; Kyriacou, Efthyvoulos C.; Pavlopoulos, Sotirios A. (2007)
      The objective of this study was to develop a CAD system for the classification of hysteroscopy images of the endometrium based on color texture analysis for the early detection of gynaecological cancer. A total of 416 ...
    • Conference Object  

      Color multiscale texture classification of hysteroscopy images of the endometrium 

      Neofytou, Marios S.; Tanos, Vasilios; Pattichis, Marios S.; Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Schizas, Christos N. (2008)
      The objective of this study was to investigate the diagnostic performance of a Computer Aided Diagnostic (CAD) system based on color multiscale texture analysis for the classification of hysteroscopy images of the endometrium, ...
    • Article  

      Comparing Different Classifiers for Automatic Age Estimation 

      Lanitis, A.; Draganova, C.; Christodoulou, Chris C. (2004)
      We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used ...
    • Article  

      A comparison of classical, neural and fuzzy control schemes for the position control of an underwater vehicle 

      Neokleous,Kleanthis C.; Neocleous, Costas K.; Schizas, Christos N. (2006)
      A comparative study for the automatic control of an underwater vehicle has been conducted. The vessel was equipped with only three thrusters (one on top, a second at port and a third at starboard) for the control of its ...
    • Conference Object  

      Computational intelligence in management of ATM networks: a survey of current state of research 

      Sekercioglu, Y. Ahmet; Pitsillides, Andreas; Vasilakos, Athanasios V. (1999)
      Today, a number of researchers are looking at alternative non-analytical control system design and modeling techniques that have the ability to devise effective, robust ATM network management schemes. Such schemes employ ...
    • Conference Object  

      Computational modeling of visual selective attention 

      Neokleous,Kleanthis C.; Schizas, Christos N. (2011)
      An overview of a nerocomputational model of visual selective attention that has been properly implemented is presented in this abstract. Visual selective attention is a fundamental function of human cognition and a highly ...
    • Article  

      Computer-aided diagnosis in hysteroscopic imaging 

      Neofytou, Marios S.; Tanos, Vasilios; Constantinou, Ioannis P.; Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Pattichis, Constantinos S. (2015)
      The paper presents the development of a computeraided diagnostic (CAD) system for the early detection of endometrial cancer. The proposed CAD system supports reproducibility through texture feature standardization, ...
    • Article  

      Congestion control in autonomous decentralized networks based on the lotka-volterra competition model 

      Antoniou, Pavlos Ch.; Pitsillides, Andreas (2009)
      Next generation communication networks are moving towards autonomous infrastructures that are capable of working unattended under dynamically changing conditions. The new network architecture involves interactions among ...