Stock performance modeling using neural networks: A comparative study with regression models. - Apostolos-Paul Nicholas Refenes; Achilleas Zapranis; Gavin Francis (Neural Networks, 1994)

Financial time series modelling with discounted least squares backpropagation. - Apostolos-Paul Nicholas Refenes; Yves Bentz; Derek W. Bunn; A. Neil Burgess; Achilleas Zapranis (Neurocomputing, 1997)

Testing the Random Walk Hypothesis with Neural Networks. - Achilleas Zapranis (ICANN (2), 2006)

Can Neural Networks Learn the "Head and Shoulders" Technical Analysis Price Pattern? Towards a Methodology for Testing the Efficient Market Hypothesis. - Achilleas Zapranis; Evi Samolada (ICANN (2), 2007)

Modeling and Forecasting CAT and HDD Indices for Weather Derivative Pricing. - Achilleas Zapranis; Antonis Alexandridis 002 (EANN, 2009)

Model Identification in Wavelet Neural Networks Framework. - Achilleas Zapranis; Antonis Alexandridis 002 (AIAI, 2009)

Weather derivatives pricing: Modeling the seasonal residual variance of an Ornstein-Uhlenbeck temperature process with neural networks. - Achilleas Zapranis; Antonis Alexandridis 002 (Neurocomputing, 2009)

Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks. - Achilleas Zapranis; Prodromos Tsinaslanidis (ICANN (3), 2010)

Modeling and forecasting cumulative average temperature and heating degree day indices for weather derivative pricing. - Achilleas Zapranis; Antonis Alexandridis 002 (Neural Comput. Appl., 2011)

A novel, rule-based technical pattern identification mechanism: Identifying and evaluating saucers and resistant levels in the US stock market. - Achilleas Zapranis; Prodromos Tsinaslanidis (Expert Syst. Appl., 2012)

Wavelet neural networks: A practical guide. - Antonis Alexandridis 002; Achilleas Zapranis (Neural Networks, 2013)