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Corporate bankruptcy prediction using machine learning methodologies with a focus on sequential data
Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin - In: Computational economics 59 (2022) 3, pp. 1231-1249
Persistent link: https://www.econbiz.de/10013169352
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A comparative analysis of machine learning algorithms for image classification : evaluating performance
Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024
Persistent link: https://www.econbiz.de/10014633436
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EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks
Kristóf, Tamás; Virág, Miklós - In: Research in international business and finance 61 (2022), pp. 1-17
Persistent link: https://www.econbiz.de/10014240075
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Deep learning classification : modeling discrete labor choice
Maliar, Lilia; Maliar, Serguei - In: Journal of economic dynamics & control 135 (2022), pp. 1-25
Persistent link: https://www.econbiz.de/10013387814
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Revisiting column-generation-based matheuristic for learning classification trees
Patel, Krunal Kishor; Desaulniers, Guy; Lodi, Andrea - 2023
Persistent link: https://www.econbiz.de/10014368425
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - 2004
The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...
Persistent link: https://www.econbiz.de/10010306241
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Software Defect Prediction Using Genetic Programming and Neural Networks
Akour, Mohammed; Melhem, Wasen Yahya - In: International Journal of Open Source Software and … 8 (2017) 4, pp. 32-51
This article describes how classification methods on software defect prediction is widely researched due to the need to …-based classification is useful. Nevertheless, this article specifies that the application and usage of genetic programming is highly … recommended due to the detailed analysis it provides, as well as an important feature in this classification method which allows …
Persistent link: https://www.econbiz.de/10012046984
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A comparative analysis of machine learning methods for classification type decision problems in healthcare
Emanet, Nahit; Öz, Halil R.; Bayram, Nazan; Delen, Dursun - In: Decision Analytics 1 (2014) 1, pp. 1-20
Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in …
Persistent link: https://www.econbiz.de/10011656508
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A machine learning-based price state prediction model for agricultural commodities using external factors
Oktoviany, Prilly; Knobloch, Robert; Korn, Ralf - In: Decisions in Economics and Finance 44 (2021) 2, pp. 1063-1085
-step hybrid model based on machine learning methods for clustering and classification. First, we assign price states to historical …-nearest neighbors or random forest classification. We apply our model to real corn futures data and generate price scenarios via a Monte …
Persistent link: https://www.econbiz.de/10014497500
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - 2004
The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...
Persistent link: https://www.econbiz.de/10010516923