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ANDREOU, ANDREAS S. and ZOMBANAKIS, GEORGE A. and GEORGOPOULOS, E. F. and LIKOTHANASSIS, S. D. (1998): Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks. Published in: EUROPEAN RESEARCH STUDIES , Vol. 1, No. 4 (December 1998): pp. 5-33.
ANDREOU, ANDREAS S. and ZOMBANAKIS, GEORGE A. and GEORGOPOULOS, E. F. and LIKOTHANASSIS, S. D. (2000): In Search of a Warning Strategy Against Exchange-rate Attacks: Forecasting Tactics Using Artificial Neural Networks. Published in: DISCRETE DYNAMICS IN NATURE AND SOCIETY , Vol. 5, No. 2 : pp. 121-137.
Abounoori, Abbas Ali and Mohammadali, Hanieh and Gandali Alikhani, Nadiya and Naderi, Esmaeil (2012): Comparative study of static and dynamic neural network models for nonlinear time series forecasting.
Abounoori, Abbas Ali and Naderi, Esmaeil and Gandali Alikhani, Nadiya and Amiri, Ashkan (2013): Financial Time Series Forecasting by Developing a Hybrid Intelligent System. Published in: European Journal of Scientific Research , Vol. 98, No. 4 (4. March 2013): pp. 10-20.
Abounoori, Abbas Ali and Naderi, Esmaeil and Gandali Alikhani, Nadiya and Amiri, Ashkan (2013): Financial Time Series Forecasting by Developing a Hybrid Intelligent System. Published in: European Journal of Scientific Research , Vol. 98, No. 4 (4. March 2013): pp. 529-541.
Andreou, Andreas S. and ZOMBANAKIS, GEORGE A. (2001): A Neural Network Measurement of Relative Military Security: The Case of Greece and Cyprus. Published in: DEFENCE AND PEACE ECONOMICS , Vol. 12, No. 4 (2001): pp. 303-324.
Andreou, Andreas S. and Zombanakis, George A. (2000): Financial Versus Human Resources in the Greek-Turkish Arms Race: A Forecasting Investigation Using Artificial Neural Networks. Published in: Defence and Peace Economics , Vol. 11, No. 4 (2000): pp. 403-426.
Andreou, Andreas S. and Zombanakis, George A. (2010): Financial vs human resources in the Greek-Turkish arms race 10 years on. Published in: Defence and Peace Economics , Vol. Vol. 2, No. No. 4, 2011 : pp. 1-11.
Andreou, Andreas S. and Zombanakis, George A. (2003): Intelligent information systems for defence problems. Published in: (14. July 2003): pp. 1-163.
Antipov, Evgeny and Pokryshevskaya, Elena (2010): Applying a CART-based approach for the diagnostics of mass appraisal models.
Antipov, Evgeny and Pokryshevskaya, Elena (2010): Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics.
Bildirici, Melike and Ersin, Özgür (2012): Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models.
Chan, Tze-Haw and Lye, Chun Teck and Hooy, Chee-Wooi (2010): Forecasting Malaysian Exchange Rate: Do Artificial Neural Networks Work?
Cifter, Atilla and Ozun, Alper (2007): The Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks: Evidence from Emerging Markets.
Cifter, Atilla and Ozun, Alper (2007): Estimating the Effects of Interest Rates on Share Prices Using Multi-scale Causality Test in Emerging Markets: Evidence from Turkey.
Ciuiu, Daniel (2008): Pattern classification using polynomial and linear regression. Published in: Proceedings of International Conference Trends and Challenges in Applied Mathematics (2008): pp. 153-156.
Ciuiu, Daniel (2008): Pattern classification using principal components regression. Published in: Proceedings of International Conference Trends and Challenges in Applied Mathematics (2008): pp. 149-152.
Deetz, Marcus and Poddig, Thorsten and Varmaz, Armin (2009): Klassifizierung von Hedge-Fonds durch das k-means Clustering von Self-Organizing Maps: eine renditebasierte Analyse zur Selbsteinstufungsgüte und Stiländerungsproblematik.
Delavari, Majid and Gandali Alikhani, Nadiya and Naderi, Esmaeil (2012): Do Dynamic Neural Networks Stand a Better Chance in Fractionally Integrated Process Forecasting? Published in: International Journal of Economics and Financial Issues , Vol. 3, No. 2 (10. April 2013): pp. 447-465.
Dev, Pritha (2010): Identity and Fragmentation in Networks.
de Rigo, Daniele (2013): Software uncertainty in integrated environmental modelling: the role of semantics and open science. Forthcoming in: Geophysical Research Abstracts , Vol. 15, (2013)
de Rigo, Daniele (2013): Software uncertainty in integrated environmental modelling: the role of semantics and open science. Forthcoming in: Geophysical Research Abstracts , Vol. 15, (2013)
de Rigo, Daniele and Corti, Paolo and Caudullo, Giovanni and McInerney, Daniel and Di Leo, Margherita and San-Miguel-Ayanz, Jesús (2013): Toward open science at the European scale: geospatial semantic array programming for integrated environmental modelling. Forthcoming in: Geophysical Research Abstracts , Vol. 15, (2013)
de Rigo, Daniele and Rizzoli, Andrea Emilio and Soncini-Sessa, Rodolfo and Weber, Enrico and Zenesi, Pietro (2001): Neuro-dynamic programming for the efficient management of reservoir networks. Published in: Proceedings of MODSIM 2001, International Congress on Modelling and Simulation , Vol. 4, (December 2001): pp. 1949-1954.
du Jardin, Philippe (2008): Bankruptcy prediction and neural networks: The contribution of variable selection methods. Published in: Proceedings of the Second European Symposium on Time Series Prediction (Estsp 2008), Helsinki University of Technology, Porvoo, Finland, (2008): pp. 271-284.
du Jardin, Philippe (2009): Bankruptcy prediction models: How to choose the most relevant variables? Published in: Bankers, Markets & Investors No. 98 (January 2009): pp. 39-46.
du Jardin, Philippe (2010): Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy. Published in: Neurocomputing , Vol. 73, No. 10-12 (2010): pp. 2047-2060.
du Jardin, Philippe (2012): The influence of variable selection methods on the accuracy of bankruptcy prediction models. Published in: Bankers, Markets & Investors No. 116 (January 2012): pp. 20-39.
du Jardin, Philippe and Séverin, Eric (2010): Dynamic analysis of the business failure process: A study of bankruptcy trajectories. Published in: Proceedings of the 6th Portuguese Finance Network Conference, Ponta Delgada, Azores , Vol. 2010, (1. July 2010)
Filippou, Miltiades and Zervopoulos, Panagiotis (2011): Developing a hybrid comparative optimization model for short-term forecasting: an ‘idle time interval’ roadmap for operational units’ strategic planning.
Filippou, Miltiades and Zervopoulos, Panagiotis (2011): Developing a short-term comparative optimization forecasting model for operational units’ strategic planning.
Gelhausen, Marc Christopher (2007): A Generalized Neural Logit Model for Airport and Access Mode Choice in Germany. Published in: Proceedings of the 11th Air Transport Research Society World Conference (2007): pp. 1-42.
Gelhausen, Marc Christopher and Wilken, Dieter (2006): Airport and Access Mode Choice : A Generalized Nested Logit Model Approach. Published in: Proceedings of the 10th Air Transport Research Society World Conference (2006): pp. 1-30.
Giovanis, Eleftherios (2008): Additional Smoothing Transition Autoregressive Models.
Giovanis, Eleftherios (2008): Applications of Least Mean Square (LMS) Algorithm Regression in Time-Series Analysis.
Giovanis, Eleftherios (2009): Bootstrapping Fuzzy-GARCH Regressions on the Day of the Week Effect in Stock Returns: Applications in MATLAB.
Giovanis, Eleftherios (2008): Neuro-Fuzzy approach for the predictions of economic crisis.
Giovanis, Eleftherios (2008): Smoothing Transition Autoregressive (STAR) Models with Ordinary Least Squares and Genetic Algorithms Optimization.
Giovanis, Eleftherios (2008): A panel data analysis for the greenhouse effects in fifteen countries of European Union.
Giovanis, eleftheios (2008): A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods.
Jackwerth, Jens Carsten (1997): Artificial Stupidity: A Reply. Published in: Journal of Portfolio Management , Vol. 27, No. 1 : pp. 120-121.
K. K., Suresh and K., Pradeepa Veerakumari (2007): Construction and Evaluation of Performance Measures for Bayesian Chain Sampling Plan (BChSP-1). Published in: Acta Ciencia Indica , Vol. 33, No. 4 (2007): pp. 16-35.
Kahloul, Ines and Ben Mabrouk, Anouar and Hallara, Salah-Eddine (2009): Wavelet-Based Prediction for Governance, Diversi cation and Value Creation Variables.
Kaizoji, Taisei (2012): A Note on Stability of Self-Consistent Equilibrium in an Asynchronous Model of Discrete-Choice with Social Interaction.
Klein, Achim and Urbig, Diemo and Kirn, Stefan (2008): Who drives the Market? Estimating a heterogeneous Agent-based Financial Market Model using a Neural Network Approach.
Leonidas, Spiliopoulos (2009): Learning backward induction: a neural network agent approach. Published in: Agent-Based Approaches in Economic and Social Complex Systems VI, edn. 2011, Springer, Japan (2011)
Malliaris, A.G. and Malliaris, Mary (2011): Are foreign currency markets interdependent? evidence from data mining technologies. Forthcoming in: Stochastics: Finance and Risk No. 2012
Mateou, Nicos H. and Zombanakis, George A. (2009): Fuzzy cognitive maps face the question of the Greek current account deficit sustainability.
Matkovskyy, Roman (2012): Forecasting the Index of Financial Safety (IFS) of South Africa using neural networks.
Mishra, SK (2009): The most representative composite rank ordering of multi-attribute objects by the particle swarm optimization.
Nazarian, Rafik and Gandali Alikhani, Nadiya and Naderi, Esmaeil and Amiri, Ashkan (2013): Forecasting Stock Market Volatility: A Forecast Combination Approach.
Nguefack-Tsague, Georges and Zucchini, Walter (2011): Modeling hierarchical relationships in epidemiological studies: a Bayesian networks approach.
Nowotarski, Jakub and Tomczyk, Jakub and Weron, Rafal (2012): Robust estimation and forecasting of the long-term seasonal component of electricity spot prices.
Ozun, Alper and Cifter, Atilla (2007): Modeling Long-Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets.
Pena Centeno, Tonatiuh and Martinez Jaramillo, Serafin and Abudu, Bolanle (2009): Predicción de bancarrota: Una comparación de técnicas estadísticas y de aprendizaje supervisado para computadora.
Pereira, Robert (1999): Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-optimised Technical Trading Rules.
Pereira, Robert (2000): Genetic Algorithm Optimisation for Finance and Investments.
Photis, Yorgos N. and Grekoussis, George (2003): Assesing demand in stochastic locational planning problems: An Artificial Intelligence approach for emergency service systems. Published in: Conference Proceedings of the 2005 Conference on Computers in Urban Planning and Urban Management (CUPUM 05) , Vol. 373, No. 05 (2003): pp. 1-16.
Photis, Yorgos N. and Manetos, Panos and Grekoussis, George (2003): Modeling urban evolution by identifying spatiotemporal patterns and applying methods of artificial intelligence.Case study: Athens, Greece. Published in: Proceedings of the 3rd Euroconference: The European City in Transition , Vol. 1, No. 1 (29. November 2003): pp. 96-108.
Pugalendhi, Subburethina Bharathi and Nakkeeran, Senthil kumar (2011): Mind mapping management. Published in: The observer of Management Education , Vol. Volume, No. Issue 9 (1. September 2011): pp. 10-13.
Saltoglu, Burak and Yenilmez, Taylan (2010): Analyzing Systemic Risk with Financial Networks An Application During a Financial Crash.
Spiliopoulos, Leonidas (2009): Neural networks as a learning paradigm for general normal form games.
Su, EnDer and Fen, Yu-Gin (2011): Applying the structural equation model rule-based fuzzy system with genetic algorithm for trading in currency market.
Wilken, Dieter and Berster, Peter and Gelhausen, Marc Christopher (2005): Airport Choice in Germany - New Empirical Evidence of the German Air Traveller Survey 2003. Published in: Proceedings of the 9th Air Transport Research Society World Congress (2005): pp. 1-29.
