A modern neural network model to do stock market timing on the basis of the ancient investment technique of Japanese Candlestick. - Milad Jasemi; Ali Mohammad Kimiagari; Azizollah Memariani (Expert Syst. Appl., 2011)

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. - Elham Ahmadi; Milad Jasemi; Leslie Monplaisir; Mohammad Amin Nabavi; Armin Mahmoodi; Pegah Amini Jam (Expert Syst. Appl., 2018)

Development of an efficient method to approximate the risk measure of Lower Partial Moment of the first order. - Milad Jasemi; Leslie Monplaisir; Pegah Amini Jam (Comput. Ind. Eng., 2019)

Supervised Machine Learning and Feature Selection for a Document Analysis Application. - James Pope; Daniel Powers; J. A. (Jim) Connell; Milad Jasemi; David Taylor; Xenofon Fafoutis (ICPRAM, 2020)

A new methodology for multi-period portfolio selection based on the risk measure of lower partial moments. - Hamid Hosseini Nesaz; Milad Jasemi; Leslie Monplaisir (Expert Syst. Appl., 2020)

Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation. - Golara Chaharmahali; Davoud Ghandalipour; Milad Jasemi; Saber Molla-Alizadeh-Zavardehi (Expert Syst. Appl., 2022)

Development of a new asset liability Management model with liquidity and inflation risks based on the Lower Partial Moment. - Hamid Hosseini Nesaz; Milad Jasemi (Expert Syst. Appl., 2022)

Designing a locating-routing three-echelon supply chain network under uncertainty. - Leila Hashemi; Armin Mahmoodi; Milad Jasemi; Richard C. Millar; Jeremy Laliberté (Int. J. Intell. Comput. Cybern., 2022)

Determine Intraday Trading Currency's Trend Framework Evidence From Machine Learning Techniques. - Inzamam Khan; Wajid Shakeel Ahmed; Shafqat Ali Shad; Chandan Kumar; Muhammad Usman; Milad Jasemi; Khuarm Shafi (Int. J. Bus. Intell. Res., 2024)