"An Artificial Neural Network Approach for Credit Risk Management"
written by Vincenzo Pacelli, Michele Azzollini,
published by Journal of Intelligent Learning Systems and Applications, Vol.3 No.2, 2011
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Assessment of indoor illuminance and study on best photosensors' position for design and commissioning of Daylight Linked Control systems. A new method based …
2018
[2] Can an Artificial Neural Network automate the credit rating process of small and medium-sized enterprises?
2018
[3] Predicting credit risk on the basis of financial and non-financial variables and data mining
2018
[4] Credit Risk Prediction Using Artificial Neural Network Algorithm
2018
[5] Poniendo el cerebro a trabajar: Evaluación del índice de crédito para préstamos P2P basados en el modelo de redes neuronales artificiales
2018
[6] 航機落地超限之操作肇因分析
2018
[7] Ranking of current information technologies by risk and regulatory compliance officers at financial institutions–a German perspective
2018
[8] Micro-lending Default Awareness Using Artificial Neural Network
2017
[9] Algorytmy neuronowe-zastosowanie w platformie finansowej
2017
[10] 온라인 병원 리뷰자료의 Latent Dirichlet Allocation 분석을 활용한 의료서비스 만족 요인에 관한 연구
2017
[11] Predicting credit risk in Peer-to-Peer lending with survival analysis
2017
[12] Detecting and quantifying ambiguity: a neural network approach
Soft Computing, 2017
[13] Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in …
2017
[14] Tradeoff and Forecasting Approach for Social Responsible Investing: Artificial Neural Network
2017
[15] Extreme Learning Machines for Credit Scoring: An Empirical Evaluation
2017
[16] Approaches for credit scorecard calibration: An empirical analysis
2017
[17] Analysis of Suspicious Pattern Discovery Using AI-Neural Network in Credit Card Fraud Detection
2017
[18] 引力搜索优化 ELM 的企业财务危机预警方法
2017
[19] Capacity of Neural Networks and Discriminant Analysis in Classifying Potential Debtors
2017
[20] Neural Networks in Credit Risk Classification of Companies in the Construction Sector
2017
[21] Оценка кредитоспособности субъектов малого предпринимательства
2017
[22] Porównanie wykorzystania sieci neuronowych i analizy dyskryminacyjnej w ocenie niewypłacalności
2017
[23] Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in …
2017
[24] Neural Networks vs Discriminant Analysis in the Assessment of Default
2017
[25] Using Functional Link Artificial Neural Network (FLANN) for Bank Credit Risk Assessment
2017
[26] Predicting fraudulent financial reporting using artificial neural network
2017
[27] Statistical and ANN Approaches in Credit Rating for Vietnamese Corporate: A Comparative Empirical Study
2016
[28] Essays on Consumer Credit Card Profitability and Risk
2016
[29] An Artificial Neural Network Approach for the Predictive Accuracy of Payments of Leasing Customers in Sri Lanka
2016
[30] Methodological and Empirical Investigations in Quantification of Modern Operational Risk Management
2016
[31] Comparative analysis of filter feature selection techniques with different classifiers for image steganalysis
2016
[32] Event Runoff and Sediment-Yield Neural Network Models for Assessment and Design of Management Practices for Small Agricultural Watersheds
2016
[33] Social Marketing-Predicting the Impact of Government Aided Health Insurance Project in Rural Tamil Nadu
2016
[34] A survey on energy performance of the non-residential public building stock in Southern Italy; toward a decision support tool for refurbishment actions
2016
[35] 基于 SVM 混合集成的信用风险评估模型
2016
[36] 基于聚类改进的 KNN 文本分类算法
2016
[37] 基于 RS-SVR 的企业信用评分模型
2016
[38] Prediction of Insolvency of Hungarian Micro Enterprises
2016
[39] Kreditrisikomanagement mit künstlichen neuronalen Netzen
2015
[40] An Effective Procedure of Neural Classification for Imbalanced Data and Its Implementation to a Credit Granting Issue1
KNOWLEDGE ECONOMY SOCIETY, 2015
[41] The Significance of Financial and Non-financial Information in Insolvency Risk Detection
Procedia Economics and Finance, 2015
[42] DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK FOR THE IDENTIFICATION OF POSSIBLE DEFAULTING DEBTORS
2015
[43] Desarrollo de una red neuronalartificial para la identificación de posibles deudores morosos
QUID: Investigación, Ciencia y Tecnología, 2015
[44] Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach
Computational Intelligence, 2015 IEEE Symposium Series on, 2015
[45] 一种基于 AHP-未确知模糊理论的云计算环境下供应链信息协同风险评估
海南大学学报: 自然科学版, 2015
[46] Development of Credit Scoring Model to Determine the Creditworthiness of Borrowers
Journal of Independent Studies and Research, 2014
[47] Riesgo de mercado: Identificación y medición
2014
[48] 基于行为树的协议建模方法及其应用研究
计算机应用研究, 2014
[49] 基于 PSO-BP 集成的国内外企业信用风险评估
计算机应用研究, 2014
[50] Evaluation of the Credit Risk with Statistical analysis
International Journal of Academic Research in Accounting, Finance and Management Sciences, 2014
[51] Credit Risk Modeling for Commercial Banks
International Journal of Academic Research in Accounting, Finance and Management Sciences, 2014
[52] Artificial Neural Networks to Predict the Power Output of a PV Panel
International Journal of Photoenergy, 2014
[53] Adeptness Comparison between Instance Based and K Star Classifiers for Credit Risk Scrutiny
CL Devasena - ijircce.com, 2014
[54] Artificial Neural Networks for Estimation of Dementias Types
D Mantzaris, M Vrizas, S Trougkakos, E Priska… - scionlinepublishing.org, 2014
[55] A Neural network and Z-score modelsapplication to manage credit risk in Algeria banks Case Study of BADR Bank-Saida Agency
B HAFIDA - ijac.org.uk, 2014
[56] Multifactor Customer Classification model for IP Transit product
Telecommunication Systems Services and Applications (TSSA), 2014 8th International Conference on, 2014
[57] 共移效果, 多重結構改變及預測—波動指數相關研究
中原大學商學博士學位學程學位論文, 2014
[58] Applications of artificial intelligence technologies in credit scoring: A survey of literature
2014
[59] Adeptness Evaluation of Memory Based Classifiers for Credit Risk Analysis
2014
[60] Credit Scoring Using Data Mining Classification
2014
[61] Linear and nonlinear trading models with gradient boosted random forests and application to Singapore stock market
Journal of Intelligent Learning Systems and Applications, 2013
[62] Research on Ability Evaluation Model of Compound Talents of Information Technology Based on Artificial Neural Network
Intelligent Human-Machine …, 2013
[63] KLASTERISASI HARGA SAHAM DAN KOMODITAS MENGGUNAKAN METODE HYBRID KLASTERISASI
2013
[64] The estimation of corporate liquidity management using artificial neural networks
International Journal of …, 2013
[65] Measuring Credit Risk of Bank Customers Using Artificial Neural Network
Journal of Management Research, 2013
[66] 基于BP 神经网络的供应链金融风险评估研究
商业研究, 2013
[67] Optimization of Intraday Trading Strategy Based on ACD Rules and Pivot Point System in Chinese Market
Journal of Intelligent Learning Systems and Applications, 2012
[68] Treatment of Uncertainties with Algorithms of the Paraconsistent Annotated Logic
Journal of Intelligent Learning Systems and Applications, 2012