Browsing by Subject "Forecasting"

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 ...