Autoencoder as Feature Extraction Technique for Financial Distress Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48981-5_6
Reference23 articles.
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3. Bozkurt, B., Kaya, M.V.: Foremost features affecting financial distress and Bankruptcy in the acute stage of COVID-19 crisis. Appl. Econ. Lett. 1–12 (2022). https://doi.org/10.1080/13504851.2022.2036681. https://www.tandfonline.com/doi/full/10.1080/13504851.2022.2036681
4. Dertat, A.: Applied deep learning - part 3: Autoencoders (2017). https://towardsdatascience.com/applied-deep-learning-part-3-autoencoders-1c083af4d798
5. Figlioli, B., Lima, F.G.: A proposed corporate distress and recovery prediction score based on financial and economic components. Expert Syst. Appl. 197, 116726 (2022). https://doi.org/10.1016/j.eswa.2022.116726. https://linkinghub.elsevier.com/retrieve/pii/S0957417422001993
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