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Machine learning-based classifiers ensemble for credit risk assessment

Pandey, Trilok Nath; Jagadev, Alok Kumar; Choudhury, D.; … - In: International journal of electronic finance : IJEF 7 (2013) 3/4, pp. 227-249

Persistent link: https://www.econbiz.de/10010400393

Machine-learning classifiers for imbalanced tornado data

Trafalis, Theodore B.; Adrianto, Indra; Richman, Michael B. - In: Computational Management Science : CMS 11 (2014) 4, pp. 403-418

Persistent link: https://www.econbiz.de/10010437151

Development of machine learning-based real time scheduling systems : using ensemble based on wrapper feature selection approach

Shiue, Yeou-ren; Guh, Ruey-shiang; Lee, Ken-chun - In: International journal of production research 50 (2012) 20, pp. 5887-5905

Persistent link: https://www.econbiz.de/10009670323

A hybrid ensemble machine learning model to predict success of Bollywood movies

Verma, Garima; Verma, Hemraj; Dixit, Sushil Kumar - In: World review of entrepreneurship, management and … 17 (2021) 2/3, pp. 343-357

Persistent link: https://www.econbiz.de/10012515249

Deus ex machina? : a framework for macro forecasting with machine learning

Bolhuis, Marijn A.; Rayner, Brett - 2020

We develop a framework to nowcast (and forecast) economic variables with machine learning techniques. We explain how machine learning methods can address common shortcomings of traditional OLS-based models and use several machine learning models to predict real output growth with lower forecast...

Persistent link: https://www.econbiz.de/10012251288

Predicting mortgage early delinquency with machine learning methods

Chen, Shunqin; Guo, Zhengfeng; Zhao, Xinlei - In: European journal of operational research : EJOR 290 (2021) 1, pp. 358-372

Persistent link: https://www.econbiz.de/10012436411

Artificial neural network and decision tree-based modelling of non-prosperity of companies

Durica, Marek; Frnda, Jaroslav; Svabova, Lucia - In: Equilibrium : quarterly journal of economics and … 18 (2023) 4, pp. 1105-1131

Persistent link: https://www.econbiz.de/10014492220

Machine learning and multiple abortions

Kumar, Pradeep; Nicodemo, Catia; Oreffice, Sonia; … - 2024

Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and … assess monetary savings through targeted interventions. We find that Random Forest and an Ensemble method are most effective …

Persistent link: https://www.econbiz.de/10014545133

Moderne Verfahren der Kreditwürdigkeitsprüfung am Beispiel der Diskriminanzanalyse, künstlicher neuronaler Netze und der Fuzzy Logik

Blunck, Svenja - In: Facetten der Unternehmensfinanzierung, (pp. 331-366). 2010

Persistent link: https://www.econbiz.de/10003986756

Predictably unequal? : the effects of machine learning on credit markets

Fuster, Andreas; Goldsmith-Pinkham, Paul; Ramadorai, Tarun - In: The journal of finance : the journal of the American … 77 (2022) 1, pp. 5-47

Persistent link: https://www.econbiz.de/10012796507

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