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Milad Jasemi
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2020 – today
- 2022
- [j7]Golara Chaharmahali, Davoud Ghandalipour
, Milad Jasemi, Saber Molla-Alizadeh-Zavardehi:
Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation. Expert Syst. Appl. 202: 117364 (2022) - [j6]Hamid Hosseini Nesaz, Milad Jasemi:
Development of a new asset liability Management model with liquidity and inflation risks based on the Lower Partial Moment. Expert Syst. Appl. 210: 118427 (2022) - [j5]Leila Hashemi, Armin Mahmoodi
Designing a locating-routing three-echelon supply chain network under uncertainty. Int. J. Intell. Comput. Cybern. 15(4): 562-588 (2022) - 2020
- [j4]Hamid Hosseini Nesaz, Milad Jasemi, Leslie Monplaisir:
A new methodology for multi-period portfolio selection based on the risk measure of lower partial moments. Expert Syst. Appl. 144: 113032 (2020) - [c1]James Pope, Daniel Powers, J. A. (Jim) Connell, Milad Jasemi, David Taylor, Xenofon Fafoutis:
Supervised Machine Learning and Feature Selection for a Document Analysis Application. ICPRAM 2020: 415-424
2010 – 2019
- 2019
- [j3]Milad Jasemi, Leslie Monplaisir, Pegah Amini Jam:
Development of an efficient method to approximate the risk measure of Lower Partial Moment of the first order. Comput. Ind. Eng. 135: 326-332 (2019) - 2018
- [j2]Elham Ahmadi, Milad Jasemi, Leslie Monplaisir, Mohammad Amin Nabavi, Armin Mahmoodi, Pegah Amini Jam:
New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic. Expert Syst. Appl. 94: 21-31 (2018) - 2011
- [j1]Milad Jasemi, Ali Mohammad Kimiagari, Azizollah Memariani:
A modern neural network model to do stock market timing on the basis of the ancient investment technique of Japanese Candlestick. Expert Syst. Appl. 38(4): 3884-3890 (2011)
Coauthor Index
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