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Applied Artificial Intelligence
An International Journal
Volume 34, 2020 - Issue 1
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Articles

Bankruptcy Prediction Using Stacked Auto-Encoders

Makram SouiCollege of computing and informatics, Saudi Electronic University, Saudia
,
Salima SmitiNational School of Computer Science, Manouba, TunisiaCorrespondence[email protected]
,
Mohamed Wiem MkaouerRochester Institute of Technology, Rochester, NY, USA
&
Ridha EjbaliNational School of Engineers of Gabès, Gabès, Tunisia
Pages 80-100 | Published online: 14 Nov 2019

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Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius & Rytis Maskeliūnas. (2022) Systematic Review of Financial Distress Identification using Artificial Intelligence Methods. Applied Artificial Intelligence 36:1.
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Zahra Fathali, Zahra Kodia & Lamjed Ben Said. (2022) Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques. Applied Artificial Intelligence 36:1.
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Bao Huynh, Loan T. T. Nguyen, Huy M. Huynh, Adrianna Kozierkiewicz, Unil Yun, Zuzana K. Oplatková & Bay Vo. (2021) A Novel Approach for Mining Closed Clickstream Patterns. Cybernetics and Systems 52:5, pages 328-349.
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Articles from other publishers (10)

Binayak Chakrabarti, Amol Jain, Pavit Nagpal & Jitendra Kumar Rout. (2023) A spatiotemporal context aware hierarchical model for corporate bankruptcy prediction. Multimedia Tools and Applications.
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Hamed Haddadi, Seyed Naser Razavi & Amin Babazadeh Sangar. (2023) Deep learning-based risk reduction approach using novel banking parameters on a standardized dataset. Neural Computing and Applications.
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Róbert Kanász, Peter Gnip, Martin Zoričák & Peter Drotár. (2023) Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm. PeerJ Computer Science 9, pages e1257.
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Divyansh Thakur, Jaspal Kaur Saini & Srikant Srinivasan. (2023) DeepThink IoT: The Strength of Deep Learning in Internet of Things. Artificial Intelligence Review.
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Ahmad Hassan & Nazish Yousaf. (2022) Bankruptcy Prediction using Diverse Machine Learning Algorithms. Bankruptcy Prediction using Diverse Machine Learning Algorithms.
Lenka Papíková & Mário Papík. (2022) Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises. Intelligent Systems in Accounting, Finance and Management 29:4, pages 254-281.
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Ita Sulistiani, Widodo & Murien Nugraheni. (2022) Comparison of Bankruptcy Prediction Models Using Support Vector Machine and Artificial Neural Network. Comparison of Bankruptcy Prediction Models Using Support Vector Machine and Artificial Neural Network.
Sasmita Manjari Nayak & Minakhi Rout. 2022. The New Advanced Society. The New Advanced Society 395 446 .
Nabeel Al-Milli, Amjad Hudaib & Nadim Obeid. (2021) Population Diversity Control of Genetic Algorithm Using a Novel Injection Method for Bankruptcy Prediction Problem. Mathematics 9:8, pages 823.
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You-Shyang Chen, Arun Kumar Sangaiah, Su-Fen Chen & Hsiu-Chen Huang. (2020) Applied Identification of Industry Data Science Using an Advanced Multi-Componential Discretization Model. Symmetry 12:10, pages 1620.
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