Browsing by Subject "Algorithms"

Now showing items 21-40 of 364

    • Article  

      Association rule analysis for the assessment of the risk of coronary heart events. 

      Karaolis, Minas A.; Moutiris, Joseph Antoniou; Papaconstantinou, L.; Pattichis, Constantinos S. (2009)
      Although significant progress has been made in the diagnosis and treatment of coronary heart disease (CHD), further investigation is still needed. The objective of this study was to develop a data mining system using ...
    • Article  

      Asynchronous gossip 

      Georgiou, Chryssis; Gilbert, S.; Guerraoui, R.; Kowalski, D. R. (2013)
      We study the complexity of gossip in an asynchronous, message-passing fault-prone distributed system. We show that an adaptive adversary can significantly hamper the spreading of a rumor, while an oblivious adversary cannot. ...
    • Article  

      Atemplate-based modeling approach for system design: Theory and implementation 

      Stein, J. L.; Louca, Loucas S. (1996)
      Previous research has developed search algorithms for deducing Proper Models (minimum complexity models with physically meaningful parameters) of dynamic systems. It has also been proposed that these Proper Models can be ...
    • Conference Object  

      Atherosclerotic carotid plaque segmentation 

      Loizou, Christos P.; Pattichis, Constantinos S.; Istepanian, Robert Sh Habib; Pantzaris, Marios C.; Nicolaïdes, Andrew N. (2004)
      Atherosclerosis is the major cause of heart attack and stroke in the western world. In this paper we present a computerized method for segmenting the athrerosclerotic carotid plaque from ultrasound images. The method uses ...
    • Article  

      Atherosclerotic plaque ultrasound video encoding, wireless transmission, and quality assessment using H.264 

      Panayides, Andreas S.; Pattichis, Marios S.; Pattichis, Constantinos S.; Loizou, Christos P.; Pantzaris, Marios C.; Pitsillides, Andreas (2011)
      We propose a unifying framework for efficient encoding, transmission, and quality assessment of atherosclerotic plaque ultrasound video. The approach is based on a spatially varying encoding scheme, where video-slice ...
    • Article  

      Average consensus in the presence of delays in directed graph topologies 

      Hadjicostis, Christoforos N.; Charalambous, T. (2014)
      Classical distributed algorithms for asymptotic average consensus typically assume timely and reliable exchange of information between neighboring components of a given multi-component system. These assumptions are not ...
    • Article  

      Bank filters for ML parameter estimation via the Expectation-Maximization algorithm: The continuous-time case 

      Charalambous, Charalambos D.; Logothetis, Andrew; Elliott, Robert J. (1998)
      In this paper we consider continuous-time partially observed systems in which the parameters are unknown. We employ conditional moment generating functions of integrals and stochastic integrals to derive new maximum-likelihood ...
    • 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  

      A Biophysical Model of Endocannabinoid-Mediated Short Term Depression in Hippocampal Inhibition 

      Zachariou, Margarita; Alexander, S. P. H.; Coombes, S.; Christodoulou, Chris C. (2013)
      Memories are believed to be represented in the synaptic pathways of vastly interconnected networks of neurons. The plasticity of synapses, that is, their strengthening and weakening depending on neuronal activity, is ...
    • Article  

      Block Scheduling of Iterative Algorithms and Graph-Level Priority Scheduling in a Simulated Data-Flow Multiprocessor 

      Evripidou, Paraskevas; Gaudiot, J. -L (1993)
      While data-flow principles permit the utilization of large-scale multiprocessor systems with high programmability and good efficiency, they also introduce much overhead at runtime. In this paper, we have studied an important ...
    • Conference Object  

      Bounds on max-product algorithms for multiple fault diagnosis in graphs with loops 

      Le, T.; Hadjicostis, Christoforos N. (Institute of Electrical and Electronics Engineers Inc., 2007)
      In this paper, we analyze the performance of algorithms that use belief propagation max-product iterations to solve the generalized multiple fault diagnosis (GMFD) problem. The GMFD problem is described by a bipartite ...
    • Conference Object  

      Breaking the walls: Scene partitioning and portal creation 

      Lerner, A.; Chrysanthou, Yiorgos L.; Cohen-Or, D. (IEEE Computer Society, 2003)
      In this paper, we revisit the cells-and-portals visibility methods, originally developed for the special case of architectural interiors. We define an effectiveness measure for a cells-and-portals partitioning, and introduce ...
    • Article  

      Brief announcement: Algorithmic mechanisms for internet-based computing under unreliable communication 

      Christoforou, Evgenia; Fernández Anta, Antonio; Georgiou, Chryssis; Mosteiro, Miguel A. (2011)
      This work, using a game-theoretic approach, considers Internet-based computations, where a master processor assigns, over the Internet, a computational task to a set of untrusted worker processors, and collects their ...
    • Conference Object  

      Brief Announcement: Optimally work-competitive scheduling for cooperative computing with merging groups 

      Georgiou, Chryssis; Russell, A.; Shvartsman, A. A. (2002)
      The development of algorithms with guaranteed work efficiency for any pattern of fragmentations and merges of the underlying network is addressed. Current results are discussed for the abstract setting where asynchronous ...
    • Article  

      Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence 

      Tasoulis, Dimitris K.; Spyridonos, Panagiota; Plagianakos, Vassilis P.; Ravazoula, Panagiota; Nikiforidis, Georgios; Vrahatis, Michael N. (2006)
      OBJECTIVE: The paper aims at improving the prediction of superficial bladder recurrence. To this end, feedforward neural networks (FNNs) and a feature selection method based on unsupervised clustering, were employed. ...
    • Conference Object  

      Ceteris paribus preference elicitation with predictive guarantees 

      Dimopoulos, Yannis; Michael, Loizos; Athienitou, F. (2009)
      CP-networks have been proposed as a simple and intuitive graphical tool for representing conditional ceteris paribus preference statements over the values of a set of variables. While the problem of reasoning with CP-networks ...
    • Conference Object  

      Classification and data mining for hysteroscopy imaging in gynaecology 

      Neofytou, Marios S.; Loizou, A.; Tanos, Vasilios; Pattichis, Marios S.; Pattichis, Constantinos S. (2008)
      The objective of this study was to develop a CAD system for the classification of hysteroscopy images of the endometrium (with suspicious areas of cancer), based on two data mining procedures, the C4.5 and the Hybrid ...
    • 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 ...
    • Conference Object  

      Classification performance of motor unit action potential features 

      Pattichis, Constantinos S.; Elia, Avraam; Schizas, Christos N.; Middleton, Lefkos T. (IEEE, 1994)
      The objective of this study is to examine the classification performance of the following motor unit action potential (MUAP) feature sets: i) time domain measures, ii) frequency measures, iii) autoregressive coefficients ...