| Surveying stock market forecasting techniques–Part II: Soft computing methods GS Atsalakis, KP Valavanis Expert Systems with applications 36 (3), 5932-5941, 2009 | 1069 | 2009 |
| Forecasting stock market short-term trends using a neuro-fuzzy based methodology GS Atsalakis, KP Valavanis Expert systems with Applications 36 (7), 10696-10707, 2009 | 453 | 2009 |
| Bitcoin price forecasting with neuro-fuzzy techniques GS Atsalakis, IG Atsalaki, F Pasiouras, C Zopounidis European Journal of Operational Research 276 (2), 770-780, 2019 | 222 | 2019 |
| Elliott Wave Theory and neuro-fuzzy systems, in stock market prediction: The WASP system GS Atsalakis, EM Dimitrakakis, CD Zopounidis Expert Systems with Applications 38 (8), 9196-9206, 2011 | 136 | 2011 |
| Using computational intelligence to forecast carbon prices GS Atsalakis Applied Soft Computing 43, 107-116, 2016 | 121 | 2016 |
| Surveying stock market forecasting techniques-Part I: Conventional methods GS Atsalakis, KP Valavanis Journal of Computational Optimization in Economics and Finance 2 (1), 45-92, 2010 | 75 | 2010 |
| Stock trend forecasting in turbulent market periods using neuro-fuzzy systems GS Atsalakis, EE Protopapadakis, KP Valavanis Operational Research 16, 245-269, 2016 | 51 | 2016 |
| Forecasting the success of a new tourism service by a neuro-fuzzy technique GS Atsalakis, IG Atsalaki, C Zopounidis European Journal of Operational Research 268 (2), 716-727, 2018 | 44 | 2018 |
| Forecasting unemployment rate using a neural network with fuzzy inference system G Atsalakis, CI Ucenic, C Skiadas Proceedings of the ICAP, 2007 | 34* | 2007 |
| Forecasting unemployment rate using a neural network with fuzzy inference system G Atsalakis, CI Ucenic, C Skiadas Proceedings of the ICAP, 2007 | 34* | 2007 |
| Gold price forecasting with a neuro-fuzzy-based inference system G Makridou, GS Atsalakis, C Zopounidis, K Andriosopoulos International Journal of Financial Engineering and Risk Management 2 1 (1 …, 2013 | 25 | 2013 |
| Daily irrigation water demand prediction using Adaptive Neuro-Fuzzy Inferences Systems (ANFIS). G Atsalakis, C Minoudaki Proceedings of the 3rd IASME/WSEAS International Conference on energy …, 2007 | 23 | 2007 |
| A neuro-fuzzy approach to forecast the electricity demand C Ucenic, A George Proceedings of the 2006 IASME/WSEAS international conference on energy …, 2006 | 23 | 2006 |
| Tourism demand forecasting based on a neuro-fuzzy model G Atsalakis, E Chnarogiannaki, C Zopounidis International Journal of Corporate Finance and Accounting (IJCFA) 1 (1), 60-69, 2014 | 15 | 2014 |
| Probability of trend prediction of exchange rate by ANFIS GS Atsalakis, CH Skiadas, I Braimis Recent advances in stochastic modeling and data analysis, 414-422, 2007 | 15 | 2007 |
| Probability of trend prediction of exchange rate by ANFIS GS Atsalakis, CH Skiadas, I Braimis Recent advances in stochastic modeling and data analysis, 414-422, 2007 | 15 | 2007 |
| Commodities’ price trend forecasting by a neuro-fuzzy controller G Atsalakis, D Frantzis, C Zopounidis Energy Systems 7, 73-102, 2016 | 13 | 2016 |
| Simulating annealing and neural networks for chaotic time series forecasting G Atsalakis, K Tsakalaki Chaotic Modeling and Simulation 1, 81-90, 2012 | 11 | 2012 |
| Fruit production forecasting by neuro-fuzzy techniques GS Atsalakis, IG Atsalakis | 10 | 2010 |
| Forecasting Chaotic time series by a Neural Network G Atsalakis, C Skiadas, D Nezis Proceedings of the 8th International Conference on Applied Stochastic Models …, 2008 | 10 | 2008 |
