Synthesizing credit data using autoencoders and generative adversarial networks

Goran Oreški

doi:10.1016/j.knosys.2023.110646

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JOURNAL ARTICLE

Synthesizing credit data using autoencoders and generative adversarial networks

Goran Oreški

Year: 2023 Journal: Knowledge-Based Systems Vol: 274 Pages: 110646-110646 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2023.110646

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Keywords:

Oversampling Autoencoder Computer science Artificial intelligence Classifier (UML) Generative grammar Machine learning Adversarial system Undersampling Preprocessor Generative adversarial network Data mining Deep learning Pattern recognition (psychology) Bandwidth (computing)

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Vehicle License Plate Recognition

Physical Sciences → Engineering → Media Technology

Synthesizing credit data using autoencoders and generative adversarial networks

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