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Supervised Machine Learning and Feature Selection for a Document Analysis Application.

, , , , , and . ICPRAM, page 415-424. SCITEPRESS, (2020)

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Development of an efficient method to approximate the risk measure of Lower Partial Moment of the first order., , and . Comput. Ind. Eng., (2019)Supervised Machine Learning and Feature Selection for a Document Analysis Application., , , , , and . ICPRAM, page 415-424. SCITEPRESS, (2020)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., , , , , and . Expert Syst. Appl., (2018)Development of a new asset liability Management model with liquidity and inflation risks based on the Lower Partial Moment., and . Expert Syst. Appl., (2022)Designing a locating-routing three-echelon supply chain network under uncertainty., , , , and . Int. J. Intell. Comput. Cybern., 15 (4): 562-588 (2022)Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation., , , and . Expert Syst. Appl., (2022)A new methodology for multi-period portfolio selection based on the risk measure of lower partial moments., , and . Expert Syst. Appl., (2020)A modern neural network model to do stock market timing on the basis of the ancient investment technique of Japanese Candlestick., , and . Expert Syst. Appl., 38 (4): 3884-3890 (2011)