-
2
-
-
84980104458
-
Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
-
Altman E.I. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 23 4 (1968) 589-609
-
(1968)
Journal of Finance
, vol.23
, Issue.4
, pp. 589-609
-
-
Altman, E.I.1
-
3
-
-
43949151078
-
Corporate distress diagnosis: comparison using linear discriminant analysis and neural networks (the Italian experience)
-
Altman E.I., Marco G., and Varetto F. Corporate distress diagnosis: comparison using linear discriminant analysis and neural networks (the Italian experience). Journal of Banking and Finance 18 (1994) 505-529
-
(1994)
Journal of Banking and Finance
, vol.18
, pp. 505-529
-
-
Altman, E.I.1
Marco, G.2
Varetto, F.3
-
4
-
-
0035391093
-
Bankruptcy prediction for credit risk using neural networks: a survey and new results
-
Atiya A.F. Bankruptcy prediction for credit risk using neural networks: a survey and new results. IEEE Transaction on Neural Networks 12 4 (2001) 929-935
-
(2001)
IEEE Transaction on Neural Networks
, vol.12
, Issue.4
, pp. 929-935
-
-
Atiya, A.F.1
-
5
-
-
33749418783
-
A comparison of ensemble creation techniques
-
Roli F., Kittler J., and Windeatt T. (Eds), Springer, Cagliari
-
Banfield R.E., Hall L.O., Bowyer K.W., Bhadoria D., Kegelmeyer W.P., and Eschrich S. A comparison of ensemble creation techniques. In: Roli F., Kittler J., and Windeatt T. (Eds). Multiple Classifier Systems, Vol. 3077 of Lecture Notes in Computer Science (2004), Springer, Cagliari 223-232
-
(2004)
Multiple Classifier Systems, Vol. 3077 of Lecture Notes in Computer Science
, pp. 223-232
-
-
Banfield, R.E.1
Hall, L.O.2
Bowyer, K.W.3
Bhadoria, D.4
Kegelmeyer, W.P.5
Eschrich, S.6
-
8
-
-
0032645080
-
An empirical comparison of voting classification algorithm: bagging, boosting and variants
-
Bauer E., and Kohavi R. An empirical comparison of voting classification algorithm: bagging, boosting and variants. Machine Learning 36 (1999) 105-142
-
(1999)
Machine Learning
, vol.36
, pp. 105-142
-
-
Bauer, E.1
Kohavi, R.2
-
12
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Machine Learning 24 2 (1996) 123-140
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
13
-
-
0346786584
-
Arcing classifiers
-
Breiman L. Arcing classifiers. The Annals of Statistics 26 3 (1998) 801-849
-
(1998)
The Annals of Statistics
, vol.26
, Issue.3
, pp. 801-849
-
-
Breiman, L.1
-
14
-
-
0003802343
-
-
Wadsworth International Group, Belmont
-
Breiman L., Friedman J.H., Olshen R., and Stone C.J. Classification and regression trees (1984), Wadsworth International Group, Belmont
-
(1984)
Classification and regression trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.3
Stone, C.J.4
-
15
-
-
0030241497
-
Hybrid neural network models for bankruptcy predictions
-
Chang Lee K., Han I., and Kwon Y. Hybrid neural network models for bankruptcy predictions. Decision Support Systems 18 1 (1996) 63-72
-
(1996)
Decision Support Systems
, vol.18
, Issue.1
, pp. 63-72
-
-
Chang Lee, K.1
Han, I.2
Kwon, Y.3
-
16
-
-
0034562990
-
Comparative analysis of artificial neural network models: application in bankruptcy prediction
-
Charalambous C., Charitou A., and Kaorou F. Comparative analysis of artificial neural network models: application in bankruptcy prediction. Annals of Operation Research 99 4 (2000) 403-425
-
(2000)
Annals of Operation Research
, vol.99
, Issue.4
, pp. 403-425
-
-
Charalambous, C.1
Charitou, A.2
Kaorou, F.3
-
17
-
-
80053403826
-
Ensemble methods in machine learning
-
Kittler J., and Roli F. (Eds), Springer, Cagliari
-
Dietterich T.G. Ensemble methods in machine learning. In: Kittler J., and Roli F. (Eds). Multiple Classifier Systems, Vol. 1857 of Lecture Notes in Computer Science (2000), Springer, Cagliari 1-15
-
(2000)
Multiple Classifier Systems, Vol. 1857 of Lecture Notes in Computer Science
, pp. 1-15
-
-
Dietterich, T.G.1
-
18
-
-
0000152448
-
Application forecasting with neural networks. An application using bankruptcy data
-
Fletcher D., and Goss E. Application forecasting with neural networks. An application using bankruptcy data. Information and Management 24 (1993) 159-167
-
(1993)
Information and Management
, vol.24
, pp. 159-167
-
-
Fletcher, D.1
Goss, E.2
-
20
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund Y., and Schapire R.E. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55 1 (1997) 119-139
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
21
-
-
0032280519
-
Boosting the margin: a new explanation for the effectiveness of voting methods
-
Freund Y., Schapire R.E., Bartlett P., and Lee W.S. Boosting the margin: a new explanation for the effectiveness of voting methods. The Annals of Statistics 26 5 (1998) 1651-1686
-
(1998)
The Annals of Statistics
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Freund, Y.1
Schapire, R.E.2
Bartlett, P.3
Lee, W.S.4
-
22
-
-
26844494532
-
Additive logistic regression: a statistical view of boosting
-
Friedman J., Hastie T., and Tibshirani R. Additive logistic regression: a statistical view of boosting. The Annals of Statistics 38 2 (2000) 391-393
-
(2000)
The Annals of Statistics
, vol.38
, Issue.2
, pp. 391-393
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
23
-
-
84944837333
-
Introducing recursive partitioning for financial classification: the case of financial distress
-
Frydman H., Altman E., and Kao D. Introducing recursive partitioning for financial classification: the case of financial distress. Journal of Finance (1985) 269-291
-
(1985)
Journal of Finance
, pp. 269-291
-
-
Frydman, H.1
Altman, E.2
Kao, D.3
-
27
-
-
0345404391
-
Predicting bankruptcies with self organizing maps
-
Kiviluoto K. Predicting bankruptcies with self organizing maps. Neurocomputing 21 (1998) 191-201
-
(1998)
Neurocomputing
, vol.21
, pp. 191-201
-
-
Kiviluoto, K.1
-
30
-
-
0042857342
-
Comparative analysis of failure prediction methods: the Finish case
-
Laitinen T., and Kankaanpaa M. Comparative analysis of failure prediction methods: the Finish case. European Accounting Review 8 1 (1999) 67-92
-
(1999)
European Accounting Review
, vol.8
, Issue.1
, pp. 67-92
-
-
Laitinen, T.1
Kankaanpaa, M.2
-
31
-
-
2442655599
-
Neural network techniques for financial performance prediction: integrating fundamental and technical analysis
-
Lam M. Neural network techniques for financial performance prediction: integrating fundamental and technical analysis. Decision Support Systems 37 (2004) 567-581
-
(2004)
Decision Support Systems
, vol.37
, pp. 567-581
-
-
Lam, M.1
-
32
-
-
0030241497
-
Hybrid neural network models for bankruptcy predictions
-
Lee K.C., Han I., and Kwon Y. Hybrid neural network models for bankruptcy predictions. Decision Support Systems 18 (1996) 63-72
-
(1996)
Decision Support Systems
, vol.18
, pp. 63-72
-
-
Lee, K.C.1
Han, I.2
Kwon, Y.3
-
33
-
-
16244365542
-
A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms
-
Lee K., Booth D., and Alam P. A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms. Expert Systems with Applications 29 (2005) 1-16
-
(2005)
Expert Systems with Applications
, vol.29
, pp. 1-16
-
-
Lee, K.1
Booth, D.2
Alam, P.3
-
34
-
-
0030110988
-
Neural network prediction analysis: the bankruptcy case
-
Leshno M., and Spector Y. Neural network prediction analysis: the bankruptcy case. Neurocomputing 10 (1996) 125-147
-
(1996)
Neurocomputing
, vol.10
, pp. 125-147
-
-
Leshno, M.1
Spector, Y.2
-
36
-
-
0000666375
-
Financial ratios and the probabilistic prediction of bankruptcy
-
Olshon J.A. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 18 1 (1980) 5-12
-
(1980)
Journal of Accounting Research
, vol.18
, Issue.1
, pp. 5-12
-
-
Olshon, J.A.1
-
38
-
-
31944447514
-
Artificial neural networks and bankruptcy forecasting: a state of the art
-
Pérez M. Artificial neural networks and bankruptcy forecasting: a state of the art. Neural Computing & Applications 15 2 (2006) 154-163
-
(2006)
Neural Computing & Applications
, vol.15
, Issue.2
, pp. 154-163
-
-
Pérez, M.1
-
39
-
-
0032021890
-
Using feature construction to improve the performance of the neural networks
-
Piramuthu S., Ragavan H., and Shaw M.J. Using feature construction to improve the performance of the neural networks. Management Sciences 44 3 (1998)
-
(1998)
Management Sciences
, vol.44
, Issue.3
-
-
Piramuthu, S.1
Ragavan, H.2
Shaw, M.J.3
-
40
-
-
33744584654
-
Induction on decision trees
-
Quinlan J.R. Induction on decision trees. Mach. Learn. 1 (1986) 81-106
-
(1986)
Mach. Learn.
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
43
-
-
24744450083
-
Bankruptcy prediction by neural networks
-
Trippi R.R., and Turban E. (Eds), Irwin Professional Pub., Burr Ridge
-
Rahimian E., Singh S., Thammachote T., and Virmani R. Bankruptcy prediction by neural networks. In: Trippi R.R., and Turban E. (Eds). Neural Networks in Finance and Investing (1996), Irwin Professional Pub., Burr Ridge
-
(1996)
Neural Networks in Finance and Investing
-
-
Rahimian, E.1
Singh, S.2
Thammachote, T.3
Virmani, R.4
-
44
-
-
33846314346
-
Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review
-
Ravi Kumar P., and Ravi V. Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review. European Journal of Operational Research 180 (2007) 1-28
-
(2007)
European Journal of Operational Research
, vol.180
, pp. 1-28
-
-
Ravi Kumar, P.1
Ravi, V.2
-
45
-
-
0000646059
-
Learning internal representation by error propagation
-
Rumelhart D.E., and McClelland J.L. (Eds), The MIT Press, Cambridge
-
Rumelhart D.E., Hinton G.E., and Williams R.J. Learning internal representation by error propagation. In: Rumelhart D.E., and McClelland J.L. (Eds). Parallel Distributed Processing: Explorations in the Microstructure of Cognition vol. 1 (1986), The MIT Press, Cambridge 318-362
-
(1986)
Parallel Distributed Processing: Explorations in the Microstructure of Cognition
, vol.1
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
46
-
-
84988828223
-
Neural networks: a tool for predicting thrift failures
-
Salchenberger L., Mine C., and Lash N. Neural networks: a tool for predicting thrift failures. Decision Sciences 23 (1992) 899-916
-
(1992)
Decision Sciences
, vol.23
, pp. 899-916
-
-
Salchenberger, L.1
Mine, C.2
Lash, N.3
-
47
-
-
0030190036
-
Self organizing neural networks for financial diagnosis
-
Serrano-Cinca C. Self organizing neural networks for financial diagnosis. Decision Support Systems 17 3 (1996) 227-238
-
(1996)
Decision Support Systems
, vol.17
, Issue.3
, pp. 227-238
-
-
Serrano-Cinca, C.1
-
48
-
-
0004398518
-
Feedforward neural networks in the classification of financial information
-
Serrano-Cinca C. Feedforward neural networks in the classification of financial information. European Journal of Finance 3 3 (1997) 183-202
-
(1997)
European Journal of Finance
, vol.3
, Issue.3
, pp. 183-202
-
-
Serrano-Cinca, C.1
-
50
-
-
33846316737
-
Off-site monitoring for predicting bank under performance: a comparison of neural networks, discriminant analysis and professional human judgement
-
Swicegood P., and Clark J.A. Off-site monitoring for predicting bank under performance: a comparison of neural networks, discriminant analysis and professional human judgement. International Journal in Accounting, Finance and Management 10 (2001) 169-186
-
(2001)
International Journal in Accounting, Finance and Management
, vol.10
, pp. 169-186
-
-
Swicegood, P.1
Clark, J.A.2
-
51
-
-
0001273663
-
Neural networks models and the prediction of bank bankruptcy
-
Tam K.Y. Neural networks models and the prediction of bank bankruptcy. Omega 19 5 (1991) 429-445
-
(1991)
Omega
, vol.19
, Issue.5
, pp. 429-445
-
-
Tam, K.Y.1
-
52
-
-
33846279365
-
Predicting bank failures: a neural network approach
-
Tam K.Y., and Kiang M. Predicting bank failures: a neural network approach. Decision Sciences 23 (1992) 926-947
-
(1992)
Decision Sciences
, vol.23
, pp. 926-947
-
-
Tam, K.Y.1
Kiang, M.2
-
53
-
-
0000126580
-
Predicting Japanese corporate bankruptcy in terms of finance data using neural network
-
Tsukuda J., and Baba S.I. Predicting Japanese corporate bankruptcy in terms of finance data using neural network. Computers and Industrial Engineering 27 1-4 (1994) 445-448
-
(1994)
Computers and Industrial Engineering
, vol.27
, Issue.1-4
, pp. 445-448
-
-
Tsukuda, J.1
Baba, S.I.2
-
55
-
-
0028444978
-
Bankruptcy prediction using neural network
-
Wilson R.L., and Sharda R. Bankruptcy prediction using neural network. Decision Support Systems 11 (1994) 545-557
-
(1994)
Decision Support Systems
, vol.11
, pp. 545-557
-
-
Wilson, R.L.1
Sharda, R.2
-
57
-
-
0032640524
-
Artificial neural networks and bankruptcy prediction general framework and cross-validated analysis
-
Zhang G., Hu M.Y., Patuwo B.E., and Indro D.C. Artificial neural networks and bankruptcy prediction general framework and cross-validated analysis. European Journal of Operational Research 116 (1999) 16-32
-
(1999)
European Journal of Operational Research
, vol.116
, pp. 16-32
-
-
Zhang, G.1
Hu, M.Y.2
Patuwo, B.E.3
Indro, D.C.4
-
58
-
-
0001953906
-
Methodological issues related to the estimation of financial distress prediction models
-
Zmijewski M. Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research 22 (1984) 59-86
-
(1984)
Journal of Accounting Research
, vol.22
, pp. 59-86
-
-
Zmijewski, M.1
|