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Browsing by Subject "machine learning"

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    • 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 ...

    • 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 comparative study on filtering protein secondary structure prediction 

      Kountouris, P.; Agathocleous, Michalis; Promponas, Vasilis J.; Christodoulou, Georgia; Hadjicostas, S.; Vassiliades, Vassilis; Christodoulou, Chris C. (2012)
      Filtering of Protein Secondary Structure Prediction (PSSP) aims to provide physicochemically realistic results, while it usually improves the predictive performance. We performed a comparative study on this challenging ...

    • 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  

      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 ...

    • Article  

      Prediction of blood:air and fat:Air partition coefficients of volatile organic compounds for the interpretation of data in breath gas analysis 

      Kramer, C.; Mochalski, Paweł; Unterkofler, K.; Agapiou, Agapios; Ruzsanyi, V.; Liedl, K. R. (2016)
      In this article, a database of blood:air and fat:air partition coefficients (λ b:a and λ f:a) is reported for estimating 1678 volatile organic compounds recently reported to appear in the volatilome of the healthy human. ...

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