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  • Search: subject:"Deep Learning Models"
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Year of publication
Subject
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Artificial intelligence 3 Künstliche Intelligenz 3 Learning process 3 Lernprozess 3 Theorie 3 Theory 3 Deep learning models 2 Neural networks 2 Neuronale Netze 2 Algorithm 1 Algorithmus 1 Artificial Neural Networks (ANNs) 1 Bankruptcy 1 Clustering 1 Deep Learning Models 1 Emerging economies 1 Emotion 1 Forecasting model 1 Imbalance data 1 Insolvency 1 Insolvenz 1 Late Delivery Risk 1 Lieferkette 1 Machine learning models 1 Multiclassification 1 Neural network 1 Parametric models of prediction of bankruptcy 1 Prognoseverfahren 1 RIME Optimization Algorithm 1 Risikomanagement 1 Risk management 1 Schwellenländer 1 Sentiment analysis 1 Supply Chain Management 1 Supply chain 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Aufsatz im Buch 2 Book section 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 3
Author
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Burekhin, Roman 1 Douaioui, Kaoutar 1 Mabrouki, Charif 1 Oucheikh, Rachid 1 Xie, Xinghe 1
Published in...
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Internet finance and digital economy : advances in digital economy and data analysis technology : the 2nd International Conference on Internet Finance and Digital Economy, Kuala Lumpur, Malaysia, 19 - 21 August 2022 1 LogForum : elektroniczne czasopismo naukowe z dziedziny logistyki 1 Risk assessment and financial regulation in emerging markets' banking : trends and prospects 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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Enhancing supply chain resilience : RIME-clustering and ensemble deep learning strategies for late delivery risk prediction
Douaioui, Kaoutar; Oucheikh, Rachid; Mabrouki, Charif - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 20 (2024) 1, pp. 55-71
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014520011
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A review of methods and applications of sentiment analysis based on deep learning models
Xie, Xinghe - In: Internet finance and digital economy : advances in …, (pp. 993-1009). 2024
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014534965
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Cover Image
Comparing bankruptcy prediction models in emerging markets
Burekhin, Roman - In: Risk assessment and financial regulation in emerging …, (pp. 177-187). 2021
This paper presents an overview of the main models for predicting bankruptcies of companies and considers the classification of existing approaches. Examples of using algorithms such as logistic models, classification trees, random forests, and artificial neural networks are highlighted....
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012591701
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