Using Hybrid Artificial Intelligence and Machine Learning Technologies for Sustainability in Going-Concern Prediction
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- Marisa Agostini, 2018. "Corporate Financial Distress," Springer Books, Springer, number 978-3-319-78500-4, June.
- Elizabeth Gutierrez & Miguel Minutti-Meza & Kay W. Tatum & Maria Vulcheva, 2018. "Consequences of adopting an expanded auditor’s report in the United Kingdom," Review of Accounting Studies, Springer, vol. 23(4), pages 1543-1587, December.
- Suduan Chen, 2019. "An effective going concern prediction model for the sustainability of enterprises and capital market development," Applied Economics, Taylor & Francis Journals, vol. 51(31), pages 3376-3388, July.
- Chyan-Long Jan, 2021. "Detection of Financial Statement Fraud Using Deep Learning for Sustainable Development of Capital Markets under Information Asymmetry," Sustainability, MDPI, vol. 13(17), pages 1-20, September.
- Der-Jang Chi & Chien-Chou Chu, 2021. "Artificial Intelligence in Corporate Sustainability: Using LSTM and GRU for Going Concern Prediction," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
- Chyan-long Jan, 2018. "An Effective Financial Statements Fraud Detection Model for the Sustainable Development of Financial Markets: Evidence from Taiwan," Sustainability, MDPI, vol. 10(2), pages 1-14, February.
- Elizabeth Gutierrez & Jake Krupa & Miguel Minutti-Meza & Maria Vulcheva, 2020. "Do going concern opinions provide incremental information to predict corporate defaults?," Review of Accounting Studies, Springer, vol. 25(4), pages 1344-1381, December.
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- Amélia Ferreira da Silva & José Henrique Brito & Mariline Lourenço & José Manuel Pereira, 2023. "Sustainability of Transport Sector Companies: Bankruptcy Prediction Based on Artificial Intelligence," Sustainability, MDPI, vol. 15(23), pages 1-13, December.
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More about this item
Keywords
going concern; artificial intelligence (AI); machine learning; classification and regression trees (CART); chi-squared automatic interaction detector (CHAID); extreme gradient boosting (XGB); artificial neural network (ANN); support vector machine (SVM); C5.0;All these keywords.
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