Browsing by Subject "Classification (of information)"

Now showing items 1-20 of 27

    • Article  

      Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG 

      Istenic, R.; Kaplanis, P. A.; Pattichis, Constantinos S.; Zazula, D. (2008)
      This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, ...
    • Conference Object  

      Annotating web service sections with combined classification 

      Kapitsaki, Georgia M. (Institute of Electrical and Electronics Engineers Inc., 2014)
      Web services are considered reusable elements that can be exploited stand-alone or as part of wider, generic or domain-specific, applications. With a vast variety of Web Services being offered by service providers, annotation ...
    • Conference Object  

      Automated tagging for the retrieval of software resources in grid and cloud infrastructures 

      Katakis, I.; Pallis, George C.; Dikaiakos, Marios D.; Onoufriou, O. (2012)
      A key challenge for Grid and Cloud infrastructures is to make their services easily accessible and attractive to end-users. In this paper we introduce tagging capabilities to the Miner soft system, a powerful tool for ...
    • Conference Object  

      Bounds on the probability of misclassification among hidden Markov models 

      Keroglou, C.; Hadjicostis, Christoforos N. (2011)
      Given a sequence of observations, classification among two known hidden Markov models (HMMs) can be accomplished with a classifier that minimizes the probability of error (i.e., the probability of misclassification) by ...
    • 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 ...
    • Conference Object  

      Combination of different texture features for mammographic breast density classification 

      Liasis, G.; Pattichis, Constantinos S.; Petroudi, Styliani (2012)
      Mammographic breast density refers to the prevalence of fibroglandular tissue as it appears on a mammogram. Breast density is not only an important risk for developing breast cancer but can also mask abnormalities. Breast ...
    • 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 ...
    • Conference Object  

      Comparison of AM-FM features with standard features for the classification of surface electromyographic signals 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S. (2010)
      In this work AM-FM features extracted from surface electromyographic (SEMG) signals were compared with standard time and frequency domain features, for the classification of neuromuscular disorders at different force levels. ...
    • 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  

      Efficient training of neural network models in classification of electromyographic data 

      Pattichis, Constantinos S.; Charalambous, Chris; Middleton, Lefkos T. (1995)
    • Article  

      Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities 

      Aristidou, Andreas; Charalambous, Panayiotis; Chrysanthou, Yiorgos L. (2015)
      The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good ...
    • Conference Object  

      Evaluation of spatial dependence matrices on multiscale instantaneous amplitude for mammogram classification 

      Petroudi, Styliani; Constantinou, Ioannis P.; Pattichis, Marios S.; Tziakouri, Chrysa H.; Tziakouri, Chrysa H.; Pattichis, Constantinos S. (Springer Verlag, 2015)
      Breast cancer is the most common cancer in women. Mammography is the only breast cancer screening method that has proven to be effective. Mammographic breast density is increasingly assessed towards the development of more ...
    • Article  

      Feature mapping through maximization of the atomic interclass distances 

      Karatsiolis, Savvas; Schizas, Christos N. (2015)
      We discuss a way of implementing feature mapping for classification problems by expressing the given data through a set of functions comprising of a mixture of convex functions. In this way, a certain pattern’s potential ...
    • Conference Object  

      Hidden markov model classification based on empirical frequencies of observed symbols 

      Keroglou, C.; Hadjicostis, Christoforos N. (IFAC Secretariat, 2014)
      Given a sequence of observations, classification among two known hidden Markov models (HMMs) can be accomplished with a classifier that minimizes the probability of error (i.e., the probability of misclassification) by ...
    • Article  

      Identifying context information in datasets 

      Kapitsaki, Georgia M.; Kalaitzidou, Giouliana; Mettouris, Christos; Achilleos, Achilleas P.; Papadopoulos, George Angelos (2015)
      Datasets are used in various applications assisting in performing reasoning and grouping actions on available data (e.g., clustering, classification, recommendations). Such sources of information may contain aspects relevant ...
    • Conference Object  

      Intelligent classification and retrieval of software components 

      Andreou, Andreas S.; Vogiatzis, Dimitrios G.; Papadopoulos, George Angelos (2006)
      This work proposes a new methodology for intelligent classification and retrieval of software components based on user-defined requirements. The classification scheme utilizes a dedicated genetic algorithm which evolves a ...
    • 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 ...
    • Article  

      Multifeature Texture Analysis for the Classification of Clouds in Satellite Imagery 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S. (2003)
      The aim of this work was to develop a system based on multifeature texture analysis and modular neural networks that will facilitate the automated interpretation of satellite cloud images. Such a system will provide a ...
    • Conference Object  

      Neural networks to investigate the effects of smoking and alcohol abuse on the risk for preeclampsia 

      Neocleous, Costas K.; Nikolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2009)
      Following the application of a large number of neural network schemes that have been applied to a large data base of pregnant women, aiming at generating a predictor for the risk of preeclampsia occurrence at an early ...
    • Conference Object  

      New technique for the classification and decomposition of EMG signals 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S. (IEEE, 1995)
      The shapes and firing rates of motor unit action potentials (MUAPs) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...