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Browsing by Subject "support vector machine"

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    • Article  

      A combined LS-SVM & MLR QSAR workflow for predicting the inhibition of CXCR3 receptor by quinazolinone analogs 

      Afantitis, Antreas; Melagraki, G.; Sarimveis, H.; Koutentis, Panayiotis Andreas; Igglessi-Markopoulou, O.; Kollias, G. (2010)
      AnovelQSARworkflowis constructed that combines MLR with LS-SVM classification techniques for the identification of quinazolinone analogs as "active" or "nonactive" CXCR3 antagonists. The accuracy of the LS-SVM classification ...

    • Article  

      A Comparison of Ultrasound Intima-Media Thickness Measurements of the Left and Right Common Carotid Artery 

      Loizou, Christos P.; Nicolaïdes, Andrew N.; Kyriacou, Efthyvoulos C.; Georghiou, N.; Griffin, Maura B.; Pattichis, Constantinos S. (2015)
      The intima-media thickness (IMT) of the common carotid artery (CCA) is an established indicator of cardiovascular disease (CVD). There have been reports about the difference between the left and the right sides of the CCA ...

    • Article  

      First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach 

      Neocleous, Andreas C.; Nicolaides, Kypros H.; Schizas, Christos N. (2016)
      The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for ...

    • 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  

      Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening 

      Melagraki, G.; Afantitis, Antreas; Sarimveis, H.; Koutentis, Panayiotis Andreas; Markopoulos, J.; Igglessi-Markopoulou, O. (2007)
      This paper presents the results of an optimization study on biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists, which was accomplished by using quantitative-structure activity relationships (QSARs), ...

    • Article  

      Prediction of high-risk asymptomatic carotid plaques based on ultrasonic image features 

      Kyriacou, Efthyvoulos C.; Petroudi, Styliani; Pattichis, Constantinos S.; Pattichis, Marios S.; Griffin, Maura B.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2012)
      Carotid plaques have been associated with ipsilateral neurological symptoms. High-resolution ultrasound can provide information not only on the degree of carotid artery stenosis but also on the characteristics of the ...

    • Conference Object  

      Prediction of the time period of stroke based on ultrasound image analysis of initially asymptomatic carotid plaques 

      Kyriacou, Efthyvoulos C.; Vogazianos, Paris; Christodoulou, Chris C.; Loizou, Christos P.; Panayides, Andreas S.; Petroudi, Styliani; Pattichis, Marios S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N.; Pattichis, Constantinos S. (Institute of Electrical and Electronics Engineers Inc., 2015)
      Non-invasive ultrasound imaging of carotid plaques can provide information on the characteristics of the arterial wall including the size, morphology and texture of the atherosclerotic plaques. Several studies were carried ...

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