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Classification Restricted Boltzmann Machine for comprehensible credit scoring model · Study

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ArticleClassification Restricted Boltzmann Machine for comprehensible credit scoring model

Jakub M. Tomczak2014

Article2014

Classification Restricted Boltzmann Machine for comprehensible credit scoring model

Jakub M. Tomczak · Maciej Zięba

100 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Explainable Artificial Intelligence (XAI)Imbalanced Data Classification Techniques

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References

1997Statistical Classification Methods in Consumer Credit Scoring: A Review 2000Neural network credit scoring models 2006Credit scoring with a data mining approach based on support vector machines 2007Recent developments in consumer credit risk assessment 2008Support vector machines for credit scoring and discovery of significant features 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring

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2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods 2019Machine learning models and cost-sensitive decision trees for bond rating prediction 2021Bankruptcy prediction using fuzzy convolutional neural networks 2019A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China 2017Comparison of Deep Learning Algorithms to Predict Customer Churn within a Local Retail Industry 2018A novel credit scoring model based on optimized random forest 2022Emerging Trends in Deep Learning for Credit Scoring: A Review

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Year2014

Typearticle

Published2014-10-18

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations100

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2014.10.016

openalex_workW1998492739

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2019A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction