최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.29 no.2, 2023년, pp.241 - 265
문건두 (동국대학교_서울 일반대학원 경영정보학과) , 김경재 (동국대학교_서울 경영대학 경영정보학과)
A corporate insolvency prediction model serves as a vital tool for objectively monitoring the financial condition of companies. It enables timely warnings, facilitates responsive actions, and supports the formulation of effective management strategies to mitigate bankruptcy risks and enhance perform...
Adadi, A. and M. Berrada, "Peeking inside the?black-box: a survey on explainable artificial?intelligence (XAI).", IEEE access, 6 (2018),?52138~52160.
Ahn, Y. A. and H. J. Cho, "A Study on XAI-based?Clinical Decision Support System", Journal?of the Korea Contents Association, Vol.21,?No.12(2021), 13~22.
Bastani, O., C. Kim, and H. Bastani., "Interpreting?blackbox models via model extraction." arXiv?preprint arXiv:1705.08504 (2017).
Bems, J., O. Stary, M. Macas, J. Zegklitz and?P. Posik, P, "Innovative default prediction?approach.", Expert Systems with Applications,?42.17-18 (2015): 6277~6285.
Brenes, R. F., A. Johannssen, and N. Chukhrova,?"An intelligent bankruptcy prediction model?using a multilayer perceptron.", Intelligent?Systems with Applications, (2022), 200136.
Brenes, R., A. Johannssen and N. Chukhrova, "An?intelligent bankruptcy prediction model using?a multilayer perceptron.", Intelligent Systems?with Applications, (2022), 200136.
Bussmann, N., P. Giudici, D. Marinelli and J.?Papenbrock, "Explainable AI in fintech risk?management.", Frontiers in Artificial Intelligence?3, (2020), 26.
Carmona, P., A. Dwekat and Z. Mardawi, "No?more black boxes! Explaining the predictions?of a machine learning XGBoost classifier?algorithm in business failure.", Research in?International Business and Finance, 61 (2022), 101649.
Chinnici, M., Y. G. Y. Gebreyesus, D. Dalton and?S. Nixon, "Machine Learning for Data Center?Optimizations: Feature Selection Using SHapley?Additive exPlanation (SHAP)", Future Internet?15.3 (2023): 88.
Cho, J. H., E. J. Ahn and S. S. Kim, "A Study on?the Prediction Model for Insolvent Companies?Based on Deep Learning", Journal of Business?Research, Vol.36, No1(2021), 99~113.
Choi, J. W., "Forecasting corporate default using?artificial intelligence based on news information",?Konkuk University, 2019.
Chu, H. G., H. S. Shin, S. K. Cho, Y. S. Yoo and?C. S. Park, "Sensitivity Analysis Using?Explainable AI for Building Energy Use",?Journal of the Architectural Institute of Korea,?Vol.36, No11(2022), 279~287.
Chun Y. E., S. B. Kim, J. Y. Lee and J. H. Woo,?"Study on credit rating model using explainable?AI", Journal of the Korean Data And Information?Science Society, Vol.32, No2(2021), 283~295.
Gebreyesus, Y., D. Dalton, S. Nixon, D. Chiara?and M. Chinnici, "Machine Learning for Data?Center Optimizations: Feature Selection Using?Shapley Additive exPlanation (SHAP)." Future?Internet, Vol. 15, No. 3, (2023), 88.
Gordini, N., "A genetic algorithm approach for?SMEs bankruptcy prediction: Empirical evidence?from Italy." Expert systems with applications,?Vol.41, No.14 (2014), 6433~6445.
Guidotti, R., A. Monreale, S. Ruggieri, F. Turini,?F. Giannotti and D. Pedreschi, "A survey of?methods for explaining black box models.",?ACM computing surveys (CSUR), 51.5 (2018),?1~42.
Heo, S. W. and D. H. Baek, "A Methodology for?Bankruptcy Prediction in Imbalanced Datasets?using eXplainable AI", Journal of the Society?of Korea Industrial and Systems Engineering,?Vol.45, No.2(2022), 65~76.
Hwang, S. H., "Knowledge Graph-based UI for?Explainable Recommendation", Yonsei University,?2019
Iturriaga, F. L. and I. P. Sanz. "Bankruptcy?visualization and prediction using neural?networks: A study of US commercial banks."?Expert Systems with applications, Vol. 42,?No. 6, (2015), 2857~2869.
Jeong, C. W., J. H. Min and M. S. Kim, "A tuning?method for the architecture of neural network models incorporating GAM and GA as applied?to bankruptcy prediction.", Expert Systems with?Applications, Vol.39, No.3 (2012), 3650~3658.
Kang, B. "Comparison of Altman's K-Score and Neural?Network's Corporate Bankruptcy Prediction",?Chonnam National University, 2023
Kasgari A. A., M. Divsalar, M. R. Javid and S. J.?Ebrahimian, "Prediction of bankruptcy Iranian?corporations through artificial neural network?and Probit-based analyses.", Neural Computing?and Applications, 23 (2013), 927~936.
Khademolqorani, S., A. Z. Hamadani, and F. M.?Rafiei. "A hybrid analysis approach to improve?financial distress forecasting: Empirical evidence?from Iran.", Mathematical Problems in Engineering,?(2015),1~9
Kim, M. J., S. Y. Jo and K. M. Yoo, "Geometric Mean?Optimization-based Boosting for Bankruptcy?Prediction", Journal of The Korean Institute?of Intelligent Systems, Vol.32, No.4(2022),?346~358.
Kim, S. J. and H. C. Ahn, "Application of?Random Forests to Corporate Credit Rating?Prediction", The Journal of Business and?Economics,32(1), 2016, 187~211.
Kim, S. J., "Evaluation of Distress Prediction?Model for Food Service Industry in Korea:?Using the Logit Analysis", Journal of the?Korea Academia-Industrial cooperation Society,?Vol.20, No.11 (2019), 151~156.
Kim, S. Y. and A. Upneja, "Majority voting?ensemble with a Decision Tree for business?failure prediction during economic downturns.",?Journal of Innovation & Knowledge 6.2,?(2021): 112~123.
Kwon, H., D. Lee and M. Shin, "Dynamic forecasts?of bankruptcy with Recurrent Neural Network?model", Journal of Intelligence and Information?Systems,23(3),2017, 139~153.
Kwon, J. H. and S. H. Park, "Machine Learning?Models and Failure Prediction on Shipping?Companies", Journal of shipping and logistics,?Vol.38, No.2(2022), 399~418.
Kwon, U. J. and S. Y. Park, "Survival prediction of?hospitality businesses during the pandemic",?Journal of The Korean Data Analysis Society,?Vol.24, No.5(2022), 1791~1809
Le, N. Q. K., Q. T. Ho, V. N. Nguyen and J. S.?Chang, "BERT-Promoter: An improved sequence-based predictor of DNA promoter using?BERT pre-trained model and SHAP feature?selection", Computational Biology and Chemistry,?99, (2022), 107732.
Lee, S. G., S. K. Son., S. R. Shin and K. J. Yee.,?"Airfoil Inverse Design using XAI (eXplainable?Artificial Intelligence)", Journal of the Korean?Society for Aeronautical and Space Sciences,?2021, 50~51.
Lee, S. J. and W. S. Choi, "A multi-industry bankruptcy?prediction model using back-propagation neural?network and multivariate discriminant analysis.",?Expert Systems with Applications, Vol 40,?No.8(2013), 2941~2946.
Liang, D., C. Tsai and H. Wu, "The effect of feature?selection on financial distress prediction.",?Knowledge-Based Systems. 73 (2015), 289~297.
Linardatos, P., V. Papastefanopoulos and S. Kotsiantis, "Explainable ai: A review of machine learning?interpretability methods.", Entropy, 23.1 (2020), 18.
Liu, Y., Y. Shen, H. Wang, Y. Zhang and X. Zhu,?"m5Cpred-XS: a new method for predicting?RNA m5C sites based on XGBoost and SHAP",?Frontiers in Genetics, (2022), 13.
Liu, Y., Z. Liu, X. Luo and H. Zhao, "Diagnosis?of Parkinson's disease based on SHAP value?feature selection.", Biocybernetics and Biomedical?Engineering, 42(3), (2022). 856-869.
Lundberg, S. M. and S. I. Lee, "A unified?approach to interpreting model predictions.",?Advances in neural information processing?systems, 30, (2017).
Lysaght, T., H. Y. Lim, V. Xafis and K.Y. Ngiam,?"AI-assisted decision-making in healthcare:?the application of an ethics framework for big?data in health and research.", Asian Bioethics?Review, 11, (2019), 299~314.
Mattsson, B., and O. Steinert, "Corporate bankruptcy?prediction using Machine Learning techniques.",?Gothenburg University, 2017.
Ni, Q., L. Chen, J. Zhu, J. Pang, Z. Wang and X.?Yang, "Prediction and interpretation of gamma?pass rate based on SHAP value feature?selection", Radiation Oncology, 2023
Oh, D. H., "Utilization of Artificial Intelligence?Technology in the Military and Suggestion of?XAI Technology Application Direction",?Journal of Digital Contents Society, Vol.23,?No.5(2022), 943~951.
Oh, H. R., A. L. Son and Z. K. Lee, "Occupational?accident prediction modeling and analysis?using SHAP", The Journal of Contents?Computing, Vol.22, No.7(2021), 1115~1123.
Park, S. H., T. I. Kim and C. H. Kwon, "A Study?of Default Prediction for Korean Shipping?Companies", Journal of Shipping and Logistics,?Vol.33, No.4,2017,823~852.
Qu, Y., P. Quan, M. Lei and Y. Shi, "Review of?bankruptcy prediction using machine learning?and deep learning techniques.", Procedia?Computer Science, 162, (2019), 895~899.
Rouhi, R., M., Clausel, J., Oster and F. Lauer, "An?interpretable hand-crafted feature-based model?for atrial fibrillation detection", Frontiers in?Physiology, 12, (2021). 657304.
Shortliffe, E. H. and B. G. Buchanan, "A model of?inexact reasoning in medicine.", Readings in?uncertain reasoning, 1990, 259~275.
Son, H., C. Hyun, D. Phan and H. J. Hwang, "Data?analytic approach for bankruptcy prediction.",?Expert Systems with Applications, 138 (2019), 112816.
Son, J. H., S. J. Woo, H. G. Baek, B. W. Hwang?and S. G. Choi, "False positive reduction in?anomaly detection using XAI", Journal of?Computing Science and Engineering, 2022,?609~611.
Song, H. J., D. J. Park and Z. K. Lee, "An?Empirical Comparison of Bankruptcy Prediction of?External Auditing and Non-External Auditing?Companies Using Machine Learning Methods",?Journal of The Korea Society of Information?Technology Policy & Management, Vol.13,?No.3(2021), 2521~2527.
Tjoa, E. and C. Guan. "A survey on explainable?artificial intelligence (XAI): Toward medical?XAI.", IEEE transactions on Neural Networks?and learning systems, 32.11, (2020), 4793~4813.
Utkin, L. and A. Konstantinov, "Ensembles of?random SHAPs.", Algorithms, 15.11, (2022), 431.
Van Lent, M., W. Fisher and M. Mancuso, "An?explainable artificial intelligence system for?small-unit tactical behavior.", Proceedings of?the national conference on artificial intelligence,?Menlo Park, CA; Cambridge, MA; London;?AAAI Press; MIT Press; 1999, 2004.
Wagenmans, F., "Machine learning in bankruptcy?prediction", Utrecht University, 2017.
Yeh, C., D. Chi and Y. Lin, "Going-concern?prediction using hybrid random forests and?rough set approach.", Information Sciences,?254 (2014), 98~110.
Zhao, J., "Corporate financial risk prediction based?on embedded system and deep learning.",?Microprocessors and Microsystems, (2020), 103405.
Zhou L., K. K. Lai, and J. Yen, "Empirical models?based on features ranking techniques for corporate?financial distress prediction.", Computers &?mathematics with applications, Vol.64, No.8?(2012), 2484~2496.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.