Genetic Programming Bibliography entries for Akbar Esfahanipour
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GP coauthors/coeditors:
Hosein Hamisheh Bahar,
Mohammad Hossein Fazel Zarandi,
Siamak Dehghanpour,
Somayeh Mousavi,
Genetic Programming Articles by Akbar Esfahanipour
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Siamak Dehghanpour and Akbar Esfahanipour.
Dynamic portfolio insurance strategy: a robust machine learning approach.
Journal of Information and Telecommunication, 2(4):392-410, 2018.
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Somayeh Mousavi and Akbar Esfahanipour and Mohammad Hossein Fazel Zarandi.
MGP-INTACTSKY: Multitree Genetic Programming-based learning of INTerpretable and ACcurate TSK sYstems for dynamic portfolio trading.
Applied Soft Computing, 34:449-462, 2015.
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Somaye Mousavi and Akbar Esfahanipour and Mohammad Hossein Fazel Zarandi.
A Novel Approach to Dynamic Portfolio Trading System Using Multitree Genetic Programming.
Knowledge-Based Systems, 66:68-81, 2014.
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Akbar Esfahanipour and Somayeh Mousavi.
A genetic programming model to generate risk-adjusted technical trading rules in stock markets.
Expert Systems with Applications, 38(7):8438-8445, 2011.
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Akbar Esfahanipour and Somaye Mousavi.
Genetic programming application to generate technical trading rules in stock markets.
International Journal of Reasoning-based Intelligent Systems, 2(3/4):244-250, 2010.
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Genetic Programming conference papers by Akbar Esfahanipour
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Siamak Dehghanpour and Akbar Esfahanipour.
A robust genetic programming model for a dynamic portfolio insurance strategy. In
2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pages 201-206, 2017.
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Hosein Hamisheh Bahar and Mohammad Hossein Fazel Zarandi and Akbar Esfahanipour.
Generating ternary stock trading signals using fuzzy genetic network programming. In
2016 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2016, El Paso, TX, USA, October 31 - November 4, 2016, pages 1-6, 2016. IEEE.
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