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Browsing by Subject "Forecasting"

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    • Conference Object  

      Application of artificial neural networks in the prediction of earnings 

      Falas, Tasos; Charitou, Andreas; Charalambous, Chris (IEEE, 1994)
      The feasibility of using artificial neural networks (ANNs) for predicting future earnings by stock market and capital market investors was evaluated. A multilayer perceptron feedforward neural network architecture with an ...

    • Article  

      Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals 

      Moustra, M.; Avraamides, Marios N.; Christodoulou, Chris C. (2011)
      The aim of this study is to evaluate the performance of artificial neural networks in predicting earthquakes occurring in the region of Greece with the use of different types of input data. More specifically, two different ...

    • Article  

      Artificial neural networks to investigate the importance and the sensitivity to various parameters used for the prediction of chromosomal abnormalities 

      Neocleous, Andreas C.; Nicolaides, Kypros H.; Syngelaki, A.; Neokleous, Kleanthis C.; Loizou, G.; Neocleous, Costas K.; Schizas, Christos N. (2012)
      A selection of artificial neural network models were built and implemented for systematically study the contribution and the sensitivity of the main influencing parameters as important contributing factors for the non-invasive ...

    • Conference Object  

      Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities 

      Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N.; Neocleous, Andreas C. (2011)
      A systematic approach has been done, to investigate different neural network structures for the appraisal of the significance of the free b-human chorionic gonadotrophin (b-hCG) and the pregnancy associated plasma protein-A ...

    • Article  

      Assessment of stroke risk based on morphological ultrasound image analysis with conformal prediction 

      Lambrou, Alexandra; Papadopoulos, Harris; Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Pattichis, Marios S.; Gammerman, A.; Nicolaïdes, Andrew N. (2010)
      Non-invasive ultrasound imaging of carotid plaques allows for the development of plaque image analysis in order to assess the risk of stroke. In our work, we provide reliable confidence measures for the assessment of stroke ...

    • Article  

      Bootstrap prediction intervals for linear, nonlinear and nonparametric autoregressions 

      Pan, L.; Politis, Dimitris Nicolas (2016)
      In order to construct prediction intervals without the cumbersome-and typically unjustifiable-assumption of Gaussianity, some form of resampling is necessary. The regression set-up has been well-studied in the literature ...

    • Article  

      Bootstrap prediction intervals for Markov processes 

      Pan, L.; Politis, Dimitris Nicolas (2014)
      Given time series data X1,…,Xn, the problem of optimal prediction of Xn+1 has been well-studied. The same is not true, however, as regards the problem of constructing a prediction interval with prespecified coverage ...

    • Article  

      Brownian-like kinematics of ball milling for particulate structural modeling 

      Doumanidis, C. C.; Kaabi, H. A. Al; Alzaabi, A. S. M.; Gunduz, I. E.; Rebholz, Claus; Doumanidis, C. C. (2016)
      Ball milling motion has been previously studied through computationally expensive, off-line experimental video processing and numerical simulations by the discrete element method. This research establishes a more efficient ...

    • Article  

      Computational predictions of the tensile properties of electrospun fibre meshes: Effect of fibre diameter and fibre orientation 

      Barocas, V. Η; Stylianopoulos, T.; Bashur, C. A.; Goldstein, A. S.; Guelcher, S. A. (2008)
      The mechanical properties of biomaterial scaffolds are crucial for their efficacy in tissue engineering and regenerative medicine. At the microscopic scale, the scaffold must be sufficiently rigid to support cell adhesion, ...

    • Article  

      Criminological psychology in the twenty-first century 

      Farrington, David P. /Kapardis,Andreas. (2004)
      Background: This article aims to review key issues that criminological psychologists should address in the twenty-first century, especially in relation to why people become offenders, why people commit offences, and the ...

    • Article  

      The Cyprus Coastal Ocean Forecasting and Observing System 

      Zodiatis, George; Lardner, R.; Georgiou, Georgios C.; Demirov, E.; Pinardi, N.; Manzella, G. (2003)
      The countries surrounding the Mediterranean Sea have joined together in several multi-national initiatives to conduct long-term, integrated, operational oceanographic observations and modelling of this important region. A ...

    • Conference Object  

      Deriving quantitative structure-activity relationship models using genetic programming for drug discovery 

      Neophytou, K.; Nicolaou, Christos A.; Pattichis, Constantinos S.; Schizas, Christos N. (2008)
      Genetic Programming is a heuristic search algorithm inspired by evolutionary techniques that has been shown to produce satisfactory solutions to problems related to several scientific domains [1]. Presented here is a ...

    • Article  

      Evaluation of the risk of stroke with confidence predictions based on ultrasound carotid image analysis 

      Lambrou, Alexandra; Papadopoulos, Harris; Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Pattichis, Marios S.; Gammerman, A.; Nicolaïdes, Andrew N. (2012)
      Conformal Predictors (CPs) are Machine Learning algorithms that can provide reliable confidence measures to their predictions. In this work, we make use of the Conformal Prediction framework for the assessment of stroke ...

    • Article  

      Financial time series and volatility prediction using NoVaS transformations 

      Politis, Dimitris Nicolas; Thomakos, D. D. (2008)
      We extend earlier work on the NoVaS transformation approach introduced by Politis (2003a, 2003b). The proposed approach is model-free and especially relevant when making forecasts in the context of model uncertainty and ...

    • Article  

      Hindcast of oil-spill pollution during the Lebanon crisis in the Eastern Mediterranean, July-August 2006 

      Coppini, G.; De Dominicis, M.; Zodiatis, George; Lardner, R.; Pinardi, N.; Santoleri, R.; Colella, S.; Bignami, F.; Hayes, D. R.; Soloviev, D.; Georgiou, Georgios C.; Kallos, George B. (2011)
      MOON (Mediterranean Operational Oceanography Network http://www.moon-oceanforecasting.eu) provides near-real-time information on oil-spill detection (ocean color and SAR) and predictions [ocean forecasts (MFS and CYCOFOS) ...

    • Conference Object  

      IEEE ICDM 2010 Contest: TomTom Traffic prediction for intelligent GPS Navigation 

      Wojnarski, M.; Gora, P.; Szczuka, M.; Nguyen, H. S.; Swietlicka, J.; Zeinalipour-Yazdi, Constantinos D. (2010)
      In this foreword, we summarize the IEEE ICDM 2010 Contest: "

    • Article  

      Implementation intention and planning interventions in Health Psychology: Recommendations from the Synergy Expert Group for research and practice 

      Hagger, Martin S.; Luszczynska, Aleksandra; de Wit, John; Benyamini, Yael; Burkert, Silke; Chamberland, Pier-Eric; Chater, A.; Dombrowski, Stephan U.; van Dongen, Anne; French, David P.; Gauchet, Aurelie; Hankonen, Nelli; Karekla, Maria; Kinney, Anita Y.; Kwasnicka, Dominika; Hing Lo, Siu; López-Roig, Sofía; Meslot, C.; Marques, Marta Moreira; Neter, Efrat; Plass, A. M.; Potthoff, S.; Rennie, L.; Scholz, U.; Stadler, G.; Stolte, E.; Ten Hoor, G.; Verhoeven, A.; Wagner, M.; Oettingen, G.; Sheeran, P.; Gollwitzer, P. M. (2016)
      The current article details a position statement and recommendations for future research and practice on planning and implementation intentions in health contexts endorsed by the Synergy Expert Group. The group comprised ...

    • Article  

      Improving branch prediction by considering affectors and affectees correlations 

      Sazeides, Yiannakis; Moustakas, Andreas; Constantinides, Kypros; Kleanthous, Marios M. (2011)
      This work investigates the potential of direction-correlations to improve branch prediction. There are two types of direction-correlation: affectors and affectees. This work considers for the first time their implications ...

    • Article  

      Inference for Some Multivariate ARCH and GARCH Models 

      Vrontos, Ioannis D.; Dellaportas, Petros; Politis, Dimitris Nicolas (2003)
      Multivariate time-varying volatility models have attracted a lot of attention in modern finance theory. We provide an empirical study of some multivariate ARCH and GARCH models that already exist in the literature and have ...

    • Article  

      Integration and use of diesel engine, driveline and vehicle dynamics models for heavy duty truck simulation 

      Assanis, D.; Bryzik, W.; Chalhoub, N.; Filipi, Z.; Henein, N.; Jung, D.; Liu, X.; Louca, Loucas S.; Moskwa, J.; Munns, S.; Overholt, J.; Papalambros, P.; Riley, S.; Rubin, Z.; Sendur, P.; Stein, J.; Zhang, G. (1999)
      An integrated vehicle system simulation has been developed to take advantage of advances in physical process and component models, flexibility of graphical programming environments (such as MATLAB-SIMULINK), and ever ...

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