Akbar Esfahanipour

19 papers C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An optimized convolutional neural network with a novel spherical triangular fuzzy pooling layer for an algorithmic trading model.
Appl. Soft Comput.
Ehsan Mohammadian Amiri, Akbar Esfahanipour
2024 J jnl
A portfolio trading system using a novel pixel graph network for stock selection and a mean-CDaR optimization for portfolio rebalancing.
Appl. Soft Comput.
Milad Kamali Alamdari, Akbar Esfahanipour, Hossein Dastkhan
2022 J jnl
A novel dynamic fare pricing model based on fuzzy bi-level programming for subway systems with heterogeneous passengers.
Comput. Ind. Eng.
Zahra Saghian, Akbar Esfahanipour, Behrooz Karimi
2022 J jnl
Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images.
Eng. Appl. Artif. Intell.
Pouya Khodaee, Akbar Esfahanipour, Hassan Mehtari Taheri
2020 J jnl
A robust behavioral portfolio selection: model with investor attitudes and biases.
Oper. Res.
Omid Momen, Akbar Esfahanipour, Abbas Seifi
2019 J jnl
A new NN-PSO hybrid model for forecasting Euro/Dollar exchange rate volatility.
Neural Comput. Appl.
Ehsan Hajizadeh, Masoud Mahootchi, Akbar Esfahanipour, Mahdi Massahi Kh.
2019 J jnl
A novel multi period mean-VaR portfolio optimization model considering practical constraints and transaction cost.
J. Comput. Appl. Math.
Hossein Babazadeh, Akbar Esfahanipour
2019 J jnl
Portfolio selection with robust estimators considering behavioral biases in a causal network.
RAIRO Oper. Res.
Omid Momen, Akbar Esfahanipour, Abbas Seifi
2018 J jnl
Dynamic portfolio insurance strategy: a robust machine learning approach.
J. Inf. Telecommun.
Siamak Dehghanpour, Akbar Esfahanipour
2017 C conf
A robust genetic programming model for a dynamic portfolio insurance strategy.
INISTA
Siamak Dehghanpour, Akbar Esfahanipour
2016 J jnl
Analysis and forecasting of IPO underpricing.
Neural Comput. Appl.
Akbar Esfahanipour, Milad Goodarzi, Reza Jahanbin
2016 — conf
Generating ternary stock trading signals using fuzzy genetic network programming.
NAFIPS
Hosein Hamisheh Bahar, Mohammad Hossein Fazel Zarandi, Akbar Esfahanipour
2015 J jnl
MGP-INTACTSKY: Multitree Genetic Programming-based learning of INTerpretable and ACcurate TSK sYstems for dynamic portfolio trading.
Appl. Soft Comput.
Somayeh Mousavi, Akbar Esfahanipour, Mohammad Hossein Fazel Zarandi
2014 J jnl
A novel approach to dynamic portfolio trading system using multitree genetic programming.
Knowl. Based Syst.
Somayeh Mousavi, Akbar Esfahanipour, Mohammad Hossein Fazel Zarandi
2011 J jnl
A genetic programming model to generate risk-adjusted technical trading rules in stock markets.
Expert Syst. Appl.
Akbar Esfahanipour, Somayeh Mousavi
2010 J jnl
Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis.
Expert Syst. Appl.
Akbar Esfahanipour, Werya Aghamiri
2010 J jnl
Genetic programming application to generate technical trading rules in stock markets.
Int. J. Reason. based Intell. Syst.
Akbar Esfahanipour, Somayeh Mousavi
2008 J jnl
Effect of Network Relations on the Adoption of Electronic Trading Systems.
J. Manag. Inf. Syst.
Ali R. Montazemi, John J. Siam, Akbar Esfahanipour
2007 J jnl
Decision making in stock trading: An application of PROMETHEE.
Eur. J. Oper. Res.
Amir Albadvi, Seyed Kamal Chaharsooghi, Akbar Esfahanipour