[1]
|
The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0
Advances in Finance, Accounting, and Economics,
2024
DOI:10.4018/979-8-3693-0082-4.ch002
|
|
|
[2]
|
Yapay Sinir Ağı Modeli Kullanılarak Meme Kanseri Endişesi ile İlişkili Risk Faktörlerinin Tahmini
Ordu Üniversitesi Hemşirelik Çalışmaları Dergisi,
2023
DOI:10.38108/ouhcd.1185064
|
|
|
[3]
|
Deep Learning and American Options via Free Boundary Framework
Computational Economics,
2023
DOI:10.1007/s10614-023-10459-3
|
|
|
[4]
|
Bankruptcy Prediction for Micro and Small Enterprises Using Financial, Non-Financial, Business Sector and Macroeconomic Variables: The Case of the Lithuanian Construction Sector
Risks,
2023
DOI:10.3390/risks11050097
|
|
|
[5]
|
Evaluating Classical and Artificial Intelligence Methods for Credit Risk Analysis
Journal of Economic Analysis,
2023
DOI:10.58567/jea02030006
|
|
|
[6]
|
Machine learning in corporate credit rating assessment using the expanded audit report
Machine Learning,
2022
DOI:10.1007/s10994-022-06226-4
|
|
|
[7]
|
Machine learning in corporate credit rating assessment using the expanded audit report
Machine Learning,
2022
DOI:10.1007/s10994-022-06226-4
|
|
|
[8]
|
Risk and return prediction for pricing portfolios of non-performing consumer credit
Proceedings of the Second ACM International Conference on AI in Finance,
2021
DOI:10.1145/3490354.3494375
|
|
|
[9]
|
Risk and return prediction for pricing portfolios of non-performing consumer credit
Proceedings of the Second ACM International Conference on AI in Finance,
2021
DOI:10.1145/3490354.3494375
|
|
|
[10]
|
A Novel Deep Neural Network Model for Credit Risk Prediction of Chinese Farmers
2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC),
2021
DOI:10.1109/DSC53577.2021.00046
|
|
|
[11]
|
Risk Early Warning Research on China’s Futures Company
Emerging Markets Finance and Trade,
2021
DOI:10.1080/1540496X.2019.1689355
|
|
|
[12]
|
Makina Öğrenmesi Yöntemleri ile Türk Mevduat Bankalarının Müşteri Tahminine Yönelik Bir Uygulama
Sosyoekonomi,
2021
DOI:10.17233/sosyoekonomi.2021.04.19
|
|
|
[13]
|
Modeling of Bank Credit Risk Management Using the Cost Risk Model
Journal of Risk and Financial Management,
2021
DOI:10.3390/jrfm14050211
|
|
|
[14]
|
Theory and application of artificial intelligence in financial industry
Data Science in Finance and Economics,
2021
DOI:10.3934/DSFE.2021006
|
|
|
[15]
|
Validation of Corporate Probability of Default Models Considering Alternative Use Cases
International Journal of Financial Studies,
2021
DOI:10.3390/ijfs9040063
|
|
|
[16]
|
Deep Learning and Neural Networks
2020
DOI:10.4018/978-1-7998-0414-7.ch067
|
|
|
[17]
|
Credit Scoring Based on the Set-Valued Identification Method
Journal of Systems Science and Complexity,
2020
DOI:10.1007/s11424-020-9101-4
|
|
|
[18]
|
Contemporary Trends and Challenges in Finance
Springer Proceedings in Business and Economics,
2020
DOI:10.1007/978-3-030-43078-8_16
|
|
|
[19]
|
A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
The North American Journal of Economics and Finance,
2020
DOI:10.1016/j.najef.2020.101251
|
|
|
[20]
|
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Mathematics,
2020
DOI:10.3390/math8101640
|
|
|
[21]
|
Decision tree approach for predicting the credit risk of leasing customers in Sri Lanka
Proceedings of the 3rd International Conference on Business and Information Management - ICBIM '19,
2019
DOI:10.1145/3361785.3361797
|
|
|
[22]
|
Risk Early Warning Research on China’s Futures Company
Emerging Markets Finance and Trade,
2019
DOI:10.1080/1540496X.2019.1689355
|
|
|
[23]
|
Performance Analysis of NB Tree, REP Tree and Random Tree Classifiers for Credit Card Fraud Data
2019 22nd International Conference on Computer and Information Technology (ICCIT),
2019
DOI:10.1109/ICCIT48885.2019.9038578
|
|
|
[24]
|
Intelligent System for Credit Risk Management in Financial Institutions
International Journal of Artificial Intelligence and Machine Learning,
2019
DOI:10.4018/IJAIML.2019070104
|
|
|
[25]
|
Predictive Risk Analysis For Loan Repayment of Credit Card Clients
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT),
2018
DOI:10.1109/RTEICT42901.2018.9012366
|
|
|
[26]
|
A Study on Credit Risk Assessment in Banking Sector using Data Mining Techniques
2018 International Conference on Advanced Computation and Telecommunication (ICACAT),
2018
DOI:10.1109/ICACAT.2018.8933604
|
|
|
[27]
|
Contemporary Trends in Accounting, Finance and Financial Institutions
Springer Proceedings in Business and Economics,
2018
DOI:10.1007/978-3-319-72862-9_6
|
|
|
[28]
|
Predicting credit risk on the basis of financial and non-financial variables and data mining
Review of Accounting and Finance,
2018
DOI:10.1108/RAF-07-2017-0143
|
|
|
[29]
|
An Adaptive Neural Fuzzy Inference System for prediction of student performance in Higher Education
2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN),
2018
DOI:10.1109/ICACCCN.2018.8748869
|
|
|
[30]
|
Applying Predictive Analytics Within the Service Sector
Advances in Business Information Systems and Analytics,
2017
DOI:10.4018/978-1-5225-2148-8.ch013
|
|
|
[31]
|
Predicting fraudulent financial reporting using artificial neural network
Journal of Financial Crime,
2017
DOI:10.1108/JFC-11-2015-0061
|
|
|
[32]
|
Extreme learning machines for credit scoring: An empirical evaluation
Expert Systems with Applications,
2017
DOI:10.1016/j.eswa.2017.05.050
|
|
|
[33]
|
Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in Southern Italy
Energy,
2017
DOI:10.1016/j.energy.2017.05.200
|
|
|
[34]
|
Tradeoff and Forecasting Approach for Social Responsible Investing: Artificial Neural Network
Vision: The Journal of Business Perspective,
2017
DOI:10.1177/0972262917700992
|
|
|
[35]
|
Capacity of Neural Networks and Discriminant Analysis in Classifying Potential Debtors
Folia Oeconomica Stetinensia,
2017
DOI:10.1515/foli-2017-0023
|
|
|
[36]
|
Micro-lending Default Awareness Using Artificial Neural Network
Proceedings of the 2017 2nd International Conference on Multimedia Systems and Signal Processing - ICMSSP 2017,
2017
DOI:10.1145/3145511.3145515
|
|
|
[37]
|
Predicting credit risk in Peer-to-Peer lending with survival analysis
2017 IEEE Symposium Series on Computational Intelligence (SSCI),
2017
DOI:10.1109/SSCI.2017.8280927
|
|
|
[38]
|
Micro-lending Default Awareness Using Artificial Neural Network
Proceedings of the 2017 2nd International Conference on Multimedia Systems and Signal Processing,
2017
DOI:10.1145/3145511.3145515
|
|
|
[39]
|
Comparative analysis of filter feature selection techniques with different classifiers for image steganalysis
2016 International Conference on Computing, Communication and Automation (ICCCA),
2016
DOI:10.1109/CCAA.2016.7813884
|
|
|
[40]
|
Prediction of Insolvency of Hungarian Micro Enterprises
SSRN Electronic Journal ,
2016
DOI:10.2139/ssrn.3282348
|
|
|
[41]
|
The Significance of Financial and Non-financial Information in Insolvency Risk Detection
Procedia Economics and Finance,
2015
DOI:10.1016/S2212-5671(15)00834-5
|
|
|
[42]
|
Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach
2015 IEEE Symposium Series on Computational Intelligence,
2015
DOI:10.1109/SSCI.2015.109
|
|
|
[43]
|
Artificial Neural Networks to Predict the Power Output of a PV Panel
International Journal of Photoenergy,
2014
DOI:10.1155/2014/193083
|
|
|
[44]
|
Multifactor Customer Classification model for IP Transit product
2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA),
2014
DOI:10.1109/TSSA.2014.7065955
|
|
|
[45]
|
Adeptness Evaluation of Memory Based Classifiers for Credit Risk Analysis
2014 International Conference on Intelligent Computing Applications,
2014
DOI:10.1109/ICICA.2014.39
|
|
|
[46]
|
Research on Ability Evaluation Model of Compound Talents of Information Technology Based on Artificial Neural Network
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics,
2013
DOI:10.1109/IHMSC.2013.111
|
|
|
[47]
|
Linear and Nonlinear Trading Models with Gradient Boosted Random Forests and Application to Singapore Stock Market
Journal of Intelligent Learning Systems and Applications,
2013
DOI:10.4236/jilsa.2013.51001
|
|
|
[48]
|
Optimization of Intraday Trading Strategy Based on ACD Rules and Pivot Point System in Chinese Market
Journal of Intelligent Learning Systems and Applications,
2012
DOI:10.4236/jilsa.2012.44029
|
|
|
[49]
|
Treatment of Uncertainties with Algorithms of the Paraconsistent Annotated Logic
Journal of Intelligent Learning Systems and Applications,
2012
DOI:10.4236/jilsa.2012.42014
|
|
|