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  • Search: subject:"imbalanced classification"
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Subject
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Classification 4 Klassifikation 4 imbalanced classification 4 Forecasting model 3 Prognoseverfahren 3 Artificial intelligence 2 Insolvency 2 Insolvenz 2 Künstliche Intelligenz 2 Theorie 2 Theory 2 Bagging 1 Cluster analysis 1 Cluster centroid 1 Clusteranalyse 1 Mustererkennung 1 Pattern recognition 1 SMATE 1 SMOTE 1 Statistical method 1 Statistical quality control 1 Statistical theory 1 Statistische Methode 1 Statistische Methodenlehre 1 Statistische Qualitätskontrolle 1 Time series analysis 1 Zeitreihenanalyse 1 adjusting moving average forecast 1 artificial contrasts 1 binary classification 1 classifier ensemble 1 cost-sensitivity 1 explainable machine learning 1 extreme gradient boosting (XGBoost) 1 failure detection 1 financial distress prediction 1 imbalanced financial distress prediction 1 multivariate statistical process control 1 oversampling 1 random forests 1
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Undetermined 2
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Article 4
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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English 4
Author
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Chen, Ruhao 1 Hwang, Wook-Yeon 1 Lee, Jong-seok 1 Li, Hui 1 Lu, Tong-Yu 1 Min, Jiyuan 1 Nguyen, Son 1 Olinsky, Alan 1 Quinn, John 1 Schumacher, Phyllis 1 Shang, Zhiming 1 Sun, Jie 1 Xu, Wenfu 1
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Advances in business and management forecasting 1 International transactions in operational research : ITOR ; a journal of the International Federation of Operational Research Societies (IFORS) 1 Journal of the Operational Research Society : OR 1 The journal of risk model validation 1
Source
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ECONIS (ZBW) 4
Showing 1 - 4 of 4
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A comprehensive explainable approach for imbalanced financial distress prediction
Chen, Ruhao; Lu, Tong-Yu; Min, Jiyuan; Xu, Wenfu - In: The journal of risk model validation 19 (2025) 3, pp. 1-32
Persistent link: https://www.econbiz.de/10015459875
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Effects of resampling techniques on imbalanced data classification : a new under-resampling method
Nguyen, Son; Schumacher, Phyllis; Olinsky, Alan; Quinn, John - In: Advances in business and management forecasting 14 (2021), pp. 51-70
We study the performances of various predictive models including decision trees, random forests, neural networks, and linear discriminant analysis on an imbalanced data set of home loan applications. During the process, we propose our undersampling algorithm to cope with the issues created by...
Persistent link: https://www.econbiz.de/10014291699
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Shifting artificial data to detect system failures
Hwang, Wook-Yeon; Lee, Jong-seok - In: International transactions in operational research : … 22 (2015) 2, pp. 363-378
Persistent link: https://www.econbiz.de/10011279704
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Imbalance-oriented SVM methods for financial distress prediction : a comparative study among the new SB-SVM-ensemle method and traditional methods
Sun, Jie; Shang, Zhiming; Li, Hui - In: Journal of the Operational Research Society : OR 65 (2014) 12, pp. 1896-1904
Persistent link: https://www.econbiz.de/10010481864
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