-
1
-
-
78049527112
-
Dynamic financial distress prediction using instance selection for the disposal of concept drift
-
Mar. 2011
-
J. Sun and H. Li, Dynamic financial distress prediction using instance selection for the disposal of concept drift, Expert Syst. Appl., vol. 38, no. 3, pp. 2566-2576, Mar. 2011.
-
Expert Syst. Appl.
, vol.38
, Issue.3
, pp. 2566-2576
-
-
Sun, J.1
Li, H.2
-
2
-
-
0002554419
-
Financial ratios as predictors of failure
-
W. Beaver, Financial ratios as predictors of failure, J. Account. Res., vol. 4, pp. 71-111, 1966.
-
(1966)
J. Account. Res.
, vol.4
, pp. 71-111
-
-
Beaver, W.1
-
3
-
-
84980104458
-
Financial ratios discriminant analysis and the prediction of corporate bankruptcy
-
Sep. 1968
-
E. Altman, Financial ratios discriminant analysis and the prediction of corporate bankruptcy, J. Finance, vol. 23, no. 4, pp. 589-609, Sep. 1968.
-
J. Finance
, vol.23
, Issue.4
, pp. 589-609
-
-
Altman, E.1
-
4
-
-
0033737589
-
Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis
-
Jul. 2000
-
A. Samant and H. Adeli, Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis, Computer-Aided Civil and Infrastructure Engineering, vol. 15, no. 4, pp. 241-250, Jul. 2000.
-
Computer-Aided Civil and Infrastructure Engineering
, vol.15
, Issue.4
, pp. 241-250
-
-
Samant, A.1
Adeli, H.2
-
5
-
-
0000666375
-
Financial ratios and probabilistic prediction of bankruptcy
-
Spring
-
J. Ohlson, Financial ratios and probabilistic prediction of bankruptcy, J. Account. Res., vol. 18, no. 1, pp. 109-131, Spring 1980.
-
(1980)
J. Account. Res.
, vol.18
, Issue.1
, pp. 109-131
-
-
Ohlson, J.1
-
6
-
-
79961053087
-
Improving classification accuracy and causal knowledge for better credit decisions
-
Aug. 2011
-
W. W. Wu, Improving classification accuracy and causal knowledge for better credit decisions, Int. J. Neural Syst., vol. 21, no. 4, pp. 297-309, Aug. 2011.
-
Int. J. Neural Syst.
, vol.21
, Issue.4
, pp. 297-309
-
-
Wu, W.W.1
-
7
-
-
0035391093
-
Bankruptcy prediction for credit risk using neural networks: A survey and new results
-
Jul. 2001
-
A. Atiya, Bankruptcy prediction for credit risk using neural networks: A survey and new results, IEEE Trans. Neural Netw., vol. 12, no. 4, pp. 929-935, Jul. 2001.
-
IEEE Trans. Neural Netw.
, vol.12
, Issue.4
, pp. 929-935
-
-
Atiya, A.1
-
8
-
-
0027364993
-
Parallel back propagation learning algorithms on CRAY Y-MP8/864 supercomputer
-
Nov. 1993
-
S. Hung and H. Adeli, Parallel back propagation learning algorithms on CRAY Y-MP8/864 supercomputer, Neurocomputing, vol. 5, no. 6, pp. 287-302, Nov. 1993.
-
Neurocomputing
, vol.5
, Issue.6
, pp. 287-302
-
-
Hung, S.1
Adeli, H.2
-
9
-
-
0035138778
-
Resource scheduling using neural dynamics model of Adeli and Park
-
Jan./Feb. 2001
-
A. B. Senouci and H. Adeli, Resource scheduling using neural dynamics model of Adeli and Park, J. Construct. Eng. Manag., vol. 127, no. 1, pp. 28-34, Jan./Feb. 2001.
-
J. Construct. Eng. Manag.
, vol.127
, Issue.1
, pp. 28-34
-
-
Senouci, A.B.1
Adeli, H.2
-
10
-
-
77955730829
-
Wavelet-based denoising for traffic volume time series forecasting with self-organizing neural networks
-
Oct. 2010
-
D. Boto-Giralda, F. J. Díaz-Pernas, D. González-Ortega, J. F. Díez-Higuera, M. Antón-Rodríguez, M. Martínez-Zarzuela, and I. Torre-Díez, Wavelet-based denoising for traffic volume time series forecasting with self-organizing neural networks, Comput.-Aided Civil Infrastruct. Eng., vol. 25, no. 7, pp. 530-545, Oct. 2010.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.25
, Issue.7
, pp. 530-545
-
-
Boto-Giralda, D.1
Díaz-Pernas, F.J.2
González-Ortega, D.3
Díez-Higuera, J.F.4
Antón-Rodríguez, M.5
Martínez- Zarzuela, M.6
Torre-Díez, I.7
-
11
-
-
77953740007
-
Recurrent neural networks for uncertain time-dependent structural behavior
-
Jul. 2010
-
W. Graf, S. Freitag, and M. Kaliske, Recurrent neural networks for uncertain time-dependent structural behavior, Comput.-Aided Civil Infrastruct. Eng., vol. 25, no. 5, pp. 322-333, Jul. 2010.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.25
, Issue.5
, pp. 322-333
-
-
Graf, W.1
Freitag, S.2
Kaliske, M.3
-
12
-
-
77953765681
-
Artificial neural networks for forecasting of fuzzy time series
-
Jul. 2010
-
U. Reuter and B. Moeller, Artificial neural networks for forecasting of fuzzy time series, Comput.-Aided Civil Infrastruct. Eng., vol. 25, no. 5, pp. 363-374, Jul. 2010.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.25
, Issue.5
, pp. 363-374
-
-
Reuter, U.1
Moeller, B.2
-
13
-
-
77958031946
-
Enhanced probabilistic neural network with local decision circles: A robust classifier
-
Aug. 2010
-
M. Ahmadlou and H. Adeli, Enhanced probabilistic neural network with local decision circles: A robust classifier, Integr. Comput.-Aided Eng., vol. 17, no. 3, pp. 197-210, Aug. 2010.
-
Integr. Comput.-Aided Eng.
, vol.17
, Issue.3
, pp. 197-210
-
-
Ahmadlou, M.1
Adeli, H.2
-
14
-
-
80051533123
-
Recurrent neural networks for fuzzy data
-
Aug. 2011
-
S. Freitag, W. Graf, and M. Kaliske, Recurrent neural networks for fuzzy data, Integr. Comput.-Aided Eng., vol. 18, no. 3, pp. 265-280, Aug. 2011.
-
Integr. Comput.-Aided Eng.
, vol.18
, Issue.3
, pp. 265-280
-
-
Freitag, S.1
Graf, W.2
Kaliske, M.3
-
15
-
-
79961085476
-
Rule extraction from minimal neural networks for credit card screening
-
Aug. 2011
-
R. Setiono, B. Baesens, and C. Mues, Rule extraction from minimal neural networks for credit card screening, Int. J. Neural Syst., vol. 21, no. 4, pp. 265-276, Aug. 2011.
-
Int. J. Neural Syst.
, vol.21
, Issue.4
, pp. 265-276
-
-
Setiono, R.1
Baesens, B.2
Mues, C.3
-
16
-
-
79961080200
-
Hybrid neural intelligent system to predict business failure in small-tomedium-size enterprises
-
Aug. 2011
-
M. Borrajo, B. Baruque, E. Corchado, J. Bajo, and M. Corchado, Hybrid neural intelligent system to predict business failure in small-tomedium-size enterprises, Int. J. Neural Syst., vol. 21, no. 4, pp. 277-296, Aug. 2011.
-
Int. J. Neural Syst.
, vol.21
, Issue.4
, pp. 277-296
-
-
Borrajo, M.1
Baruque, B.2
Corchado, E.3
Bajo, J.4
Corchado, M.5
-
17
-
-
79961069229
-
Artificial metaplasticity neural network applied to credit scoring
-
Aug. 2011
-
A. Marcano-Cedeno, A. Marin-De-La-Barcena, J. Jimenez-Trillo, J. A. Piñuela, and D. Andina, Artificial metaplasticity neural network applied to credit scoring, Int. J. Neural Syst., vol. 21, no. 4, pp. 311-317, Aug. 2011.
-
Int. J. Neural Syst.
, vol.21
, Issue.4
, pp. 311-317
-
-
Marcano-Cedeno, A.1
Marin-De-La-Barcena, A.2
Jimenez-Trillo, J.3
Piñuela, J.A.4
Andina, D.5
-
18
-
-
84944837333
-
Introducing recursive partitioning for financial classification: The case of financial distress
-
Mar. 1985
-
H. Frydman, E. I. Altman, and D. Kao, Introducing recursive partitioning for financial classification: The case of financial distress, J. Finance, vol. 40, no. 1, pp. 269-291, Mar. 1985.
-
J. Finance
, vol.40
, Issue.1
, pp. 269-291
-
-
Frydman, H.1
Altman, E.I.2
Kao, D.3
-
19
-
-
79953312468
-
Automatic image search based on improved feature descriptors and decision tree
-
Apr. 2011
-
J. Hou, Z. Chen, X. Qin, and D. Zhang, Automatic image search based on improved feature descriptors and decision tree, Integr. Comput.-Aided Eng., vol. 18, no. 2, pp. 167-180, Apr. 2011.
-
Integr. Comput.-Aided Eng.
, vol.18
, Issue.2
, pp. 167-180
-
-
Hou, J.1
Chen, Z.2
Qin, X.3
Zhang, D.4
-
20
-
-
33749673034
-
Deciding the financial health of dot-coms using rough sets
-
Oct. 2006
-
I. Bose, Deciding the financial health of dot-coms using rough sets, Inf. Manag., vol. 43, no. 7, pp. 835-846, Oct. 2006.
-
Inf. Manag.
, vol.43
, Issue.7
, pp. 835-846
-
-
Bose, I.1
-
21
-
-
0348197047
-
Rough sets bankruptcy prediction models versus auditor signaling rates
-
Dec. 2003
-
T. McKee, Rough sets bankruptcy prediction models versus auditor signaling rates, J. Forecast., vol. 22, no. 8, pp. 569-586, Dec. 2003.
-
J. Forecast.
, vol.22
, Issue.8
, pp. 569-586
-
-
McKee, T.1
-
22
-
-
77955735340
-
Exploring the deterioration factors of bridges: A rough set theory approach
-
Oct. 2010
-
R. Y. Huang, I. S. Mao, and H. K. Lee, Exploring the deterioration factors of bridges: A rough set theory approach, Comput.-Aided Civil Infrastruct. Eng., vol. 25, no. 7, pp. 517-529, Oct. 2010.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.25
, Issue.7
, pp. 517-529
-
-
Huang, R.Y.1
Mao, I.S.2
Lee, H.K.3
-
23
-
-
0028546422
-
A parallel genetic/neural network learning algorithm for MIMD shared memory machines
-
Nov. 1994
-
S. L. Hung and H. Adeli, A parallel genetic/neural network learning algorithm for MIMD shared memory machines, IEEE Trans. Neural Netw., vol. 5, no. 6, pp. 900-909, Nov. 1994.
-
IEEE Trans. Neural Netw.
, vol.5
, Issue.6
, pp. 900-909
-
-
Hung, S.L.1
Adeli, H.2
-
24
-
-
78651435257
-
Modified genetic algorithm for the dynamic identification of structural systems using incomplete measurements
-
Feb. 2011
-
G. C. Marano, G. Quaranta, and G. Monti, Modified genetic algorithm for the dynamic identification of structural systems using incomplete measurements, Comput.-Aided Civil Infrastruct. Eng., vol. 26, no. 2, pp. 92-110, Feb. 2011.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.26
, Issue.2
, pp. 92-110
-
-
Marano, G.C.1
Quaranta, G.2
Monti, G.3
-
25
-
-
78651520710
-
Developing crew allocation system for precast industry using genetic algorithms
-
Nov. 2010
-
A. Al-Bazi and N. Dawood, Developing crew allocation system for precast industry using genetic algorithms, Comput.-Aided Civil Infrastruct. Eng., vol. 25, no. 8, pp. 581-595, Nov. 2010.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.25
, Issue.8
, pp. 581-595
-
-
Al-Bazi, A.1
Dawood, N.2
-
26
-
-
74049160021
-
A computerized feature selection using genetic algorithms to forecast freeway accident duration times
-
Feb. 2010
-
Y. Lee and C. H. Wei, A computerized feature selection using genetic algorithms to forecast freeway accident duration times, Comput.-Aided Civil Infrastruct. Eng., vol. 25, no. 2, pp. 132-148, Feb. 2010.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.25
, Issue.2
, pp. 132-148
-
-
Lee, Y.1
Wei, C.H.2
-
27
-
-
80051534832
-
Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components
-
Aug. 2011
-
P. Baraldi, R. Canesi, E. Zio, R. Seraoui, and R. Chevalier, Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components, Integr. Comput.-Aided Eng., vol. 18, no. 3, pp. 221-234, Aug. 2011.
-
Integr. Comput.-Aided Eng.
, vol.18
, Issue.3
, pp. 221-234
-
-
Baraldi, P.1
Canesi, R.2
Zio, E.3
Seraoui, R.4
Chevalier, R.5
-
28
-
-
0027676858
-
Integrated genetic algorithm for optimization of space structures
-
Oct. 1993
-
H. Adeli and N.-T. Cheng, Integrated genetic algorithm for optimization of space structures, J. Aerosp. Eng., vol. 6, no. 4, pp. 315-328, Oct. 1993.
-
J. Aerosp. Eng.
, vol.6
, Issue.4
, pp. 315-328
-
-
Adeli, H.1
Cheng, N.-T.2
-
29
-
-
0028315780
-
Augmented Lagrangian genetic algorithm for structural optimization
-
Jan. 1994
-
H. Adeli and N.-T. Cheng, Augmented Lagrangian genetic algorithm for structural optimization, J. Aerosp. Eng., vol. 7, no. 1, pp. 104-118, Jan. 1994.
-
J. Aerosp. Eng.
, vol.7
, Issue.1
, pp. 104-118
-
-
Adeli, H.1
Cheng, N.-T.2
-
30
-
-
0028465332
-
Concurrent genetic algorithms for optimization of large structures
-
Jul. 1994
-
H. Adeli and N.-T. Cheng, Concurrent genetic algorithms for optimization of large structures, J. Aerosp. Eng., vol. 7, no. 3, pp. 276-296, Jul. 1994.
-
J. Aerosp. Eng.
, vol.7
, Issue.3
, pp. 276-296
-
-
Adeli, H.1
Cheng, N.-T.2
-
31
-
-
0029344063
-
Distributed genetic algorithms for structural optimization
-
Jul. 1995
-
H. Adeli and S. Kumar, Distributed genetic algorithms for structural optimization, J. Aerosp. Eng., vol. 8, no. 3, pp. 156-163, Jul. 1995.
-
J. Aerosp. Eng.
, vol.8
, Issue.3
, pp. 156-163
-
-
Adeli, H.1
Kumar, S.2
-
32
-
-
0029411376
-
Concurrent structural optimization on a massively parallel supercomputer
-
Nov. 1995
-
H. Adeli and S. Kumar, Concurrent structural optimization on a massively parallel supercomputer, J. Struct. Eng., vol. 121, no. 11, pp. 1588-1597, Nov. 1995.
-
J. Struct. Eng.
, vol.121
, Issue.11
, pp. 1588-1597
-
-
Adeli, H.1
Kumar, S.2
-
33
-
-
0033701953
-
Fuzzy genetic algorithm for optimization of steel structures
-
May 2000
-
K. Sarma and H. Adeli, Fuzzy genetic algorithm for optimization of steel structures, J. Struct. Eng., vol. 126, no. 5, pp. 596-604, May 2000.
-
J. Struct. Eng.
, vol.126
, Issue.5
, pp. 596-604
-
-
Sarma, K.1
Adeli, H.2
-
34
-
-
0034324217
-
Fuzzy discrete multicriteria cost optimization of steel structures
-
Nov. 2000
-
K. Sarma and H. Adeli, Fuzzy discrete multicriteria cost optimization of steel structures, J. Struct. Eng., vol. 126, no. 11, pp. 1339-1347, Nov. 2000.
-
J. Struct. Eng.
, vol.126
, Issue.11
, pp. 1339-1347
-
-
Sarma, K.1
Adeli, H.2
-
35
-
-
0035448742
-
Bi-level parallel genetic algorithms for optimization of large steel structures
-
Sep. 2001
-
K. Sarma and H. Adeli, Bi-level parallel genetic algorithms for optimization of large steel structures, Comput.-Aided Civil Infrastruct. Eng., vol. 16, no. 5, pp. 295-304, Sep. 2001.
-
Comput.-Aided Civil Infrastruct. Eng.
, vol.16
, Issue.5
, pp. 295-304
-
-
Sarma, K.1
Adeli, H.2
-
36
-
-
0037203053
-
Life-cycle cost optimization of steel structures
-
Dec. 2002
-
K. Sarma and H. Adeli, Life-cycle cost optimization of steel structures, Int. J. Numer. Methods Eng., vol. 55, no. 12, pp. 1451-1462, Dec. 2002.
-
Int. J. Numer. Methods Eng.
, vol.55
, Issue.12
, pp. 1451-1462
-
-
Sarma, K.1
Adeli, H.2
-
37
-
-
0012324030
-
Discrete cost optimization of composite floors using a floating-point genetic algorithm
-
H. Kim and H. Adeli, Discrete cost optimization of composite floors using a floating point genetic algorithm, Eng. Optim., vol. 33, no. 4, pp. 485-501, 2001. (Pubitemid 33816785)
-
(2001)
Engineering Optimization
, vol.33
, Issue.4
, pp. 485-501
-
-
Kim, H.1
Adeli, H.2
-
38
-
-
50449102806
-
Neuro-genetic algorithm for nonlinear active control of highrise buildings
-
Aug. 2008
-
X. Jiang and H. Adeli, Neuro-genetic algorithm for nonlinear active control of highrise buildings, Int. J. Numer. Methods Eng., vol. 75, no. 7, pp. 770-786, Aug. 2008.
-
Int. J. Numer. Methods Eng.
, vol.75
, Issue.7
, pp. 770-786
-
-
Jiang, X.1
Adeli, H.2
-
39
-
-
59649108839
-
Hybridizing principles of the Electre method with case-based reasoning for data mining
-
Aug. 2009
-
H. Li and J. Sun, Hybridizing principles of the Electre method with case-based reasoning for data mining, Eur. J. Oper. Res., vol. 197, no. 1, pp. 214-224, Aug. 2009.
-
Eur. J. Oper. Res.
, vol.197
, Issue.1
, pp. 214-224
-
-
Li, H.1
Sun, J.2
-
40
-
-
0037336997
-
CBR model for freeway work zone traffic management
-
Mar. 2003
-
A. Karim and H. Adeli, CBR model for freeway work zone traffic management, J. Transp. Eng., vol. 129, no. 2, pp. 134-145, Mar. 2003.
-
J. Transp. Eng.
, vol.129
, Issue.2
, pp. 134-145
-
-
Karim, A.1
Adeli, H.2
-
41
-
-
13944267604
-
Case-based reasoning in steel bridge engineering
-
Feb. 2005
-
A. Waheed and H. Adeli, Case-based reasoning in steel bridge engineering, Knowl.-Based Syst., vol. 18, no. 1, pp. 37-46, Feb. 2005.
-
Knowl.-Based Syst.
, vol.18
, Issue.1
, pp. 37-46
-
-
Waheed, A.1
Adeli, H.2
-
42
-
-
23144439363
-
Case-based reasoning for converting working stress design-based bridge ratings to load factor design-based ratings
-
Jul. 2005
-
G. F. Sirca, Jr. and H. Adeli, Case-based reasoning for converting working stress design-based bridge ratings to load factor design-based ratings, J. Bridge Eng., vol. 10, no. 4, pp. 450-459, Jul. 2005.
-
J. Bridge Eng.
, vol.10
, Issue.4
, pp. 450-459
-
-
Sirca Jr., G.F.1
Adeli, H.2
-
44
-
-
73949094765
-
No-reference video quality measurement with support vector regression
-
Dec. 2009
-
H. C. Lian, No-reference video quality measurement with support vector regression, Int. J. Neural Syst., vol. 19, no. 6, pp. 457-464, Dec. 2009.
-
Int. J. Neural Syst.
, vol.19
, Issue.6
, pp. 457-464
-
-
Lian, H.C.1
-
45
-
-
77951560201
-
Protein subcellular multi-localization prediction using a min-max modular support vector machine
-
Feb. 2010
-
Y. Yang and B. L. Lu, Protein subcellular multi-localization prediction using a min-max modular support vector machine, Int. J. Neural Syst., vol. 20, no. 1, pp. 13-28, Feb. 2010.
-
Int. J. Neural Syst.
, vol.20
, Issue.1
, pp. 13-28
-
-
Yang, Y.1
Lu, B.L.2
-
46
-
-
30344453065
-
A new fuzzy support vector machine to evaluate credit risk
-
Dec. 2005
-
Y. Wang, S. Wang, and K. Lai, A new fuzzy support vector machine to evaluate credit risk, IEEE Trans. Fuzzy Syst., vol. 13, no. 6, pp. 820-831, Dec. 2005.
-
IEEE Trans. Fuzzy Syst.
, vol.13
, Issue.6
, pp. 820-831
-
-
Wang, Y.1
Wang, S.2
Lai, K.3
-
47
-
-
59749093654
-
Evolving least squares support vector machines for stock market trend mining
-
Feb. 2009
-
L. Yu, H. Chen, S. Wang, and K. K. Lai, Evolving least squares support vector machines for stock market trend mining, IEEE Trans. Evol. Comput., vol. 13, no. 1, pp. 87-102, Feb. 2009.
-
IEEE Trans. Evol. Comput.
, vol.13
, Issue.1
, pp. 87-102
-
-
Yu, L.1
Chen, H.2
Wang, S.3
Lai, K.K.4
-
48
-
-
82655173325
-
Ranking-based kernels in applied biomedical diagnostics using support vectormachine
-
Dec. 2011
-
V. Jumutc, P. Zayakin, and A. Borisov, Ranking-based kernels in applied biomedical diagnostics using support vectormachine, Int. J. Neural Syst., vol. 21, no. 6, pp. 459-473, Dec. 2011.
-
Int. J. Neural Syst.
, vol.21
, Issue.6
, pp. 459-473
-
-
Jumutc, V.1
Zayakin, P.2
Borisov, A.3
-
49
-
-
79551545304
-
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles
-
Jan. 2011
-
E. D. Wandekokem, E. Mendel, F. Fabris, M. Valentim, R. J. Batista, F. M. Varejão, and T. M. Rauber, Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles, Integr. Comput.-Aided Eng., vol. 18, no. 1, pp. 61-74, Jan. 2011.
-
Integr. Comput.-Aided Eng.
, vol.18
, Issue.1
, pp. 61-74
-
-
Wandekokem, E.D.1
Mendel, E.2
Fabris, F.3
Valentim, M.4
Batista, R.J.5
Varejão, F.M.6
Rauber, T.M.7
-
50
-
-
9244259665
-
An application of support vector machines in bankruptcy prediction model
-
Jan. 2005
-
K. Shin, T. Lee, and H. Kim, An application of support vector machines in bankruptcy prediction model, Expert Syst. Appl., vol. 28, no. 1, pp. 127-135, Jan. 2005.
-
Expert Syst. Appl.
, vol.28
, Issue.1
, pp. 127-135
-
-
Shin, K.1
Lee, T.2
Kim, H.3
-
51
-
-
17844363481
-
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
-
May 2005
-
J. Min and Y. Y. Lee, Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters, Expert Syst. Appl., vol. 28, no. 4, pp. 128-134, May 2005.
-
Expert Syst. Appl.
, vol.28
, Issue.4
, pp. 128-134
-
-
Min, J.1
Lee, Y.Y.2
-
52
-
-
33745625856
-
An application of support vector machine to companies' financial distress prediction
-
DOI 10.1007/11681960-27, Modeling Decisions for Artificial Intelligence - Third International Conference, MDAI 2006, Proceedings LNAI
-
X. Hui and J. Sun, An application of support vector machine to companies' FDP, Model. Decisions Artif. Intell., vol. 3885, pp. 274-282, 2006. (Pubitemid 43990496)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.3885
, pp. 274-282
-
-
Hui, X.-F.1
Sun, J.2
-
53
-
-
38649138750
-
Forecasting financial condition of Chinese listed companies based on support vector machine
-
May 2008
-
Y. Ding, X. Song, and Y. Zeng, Forecasting financial condition of Chinese listed companies based on support vector machine, Expert Syst. Appl., vol. 34, no. 4, pp. 3081-3089, May 2008.
-
Expert Syst. Appl.
, vol.34
, Issue.4
, pp. 3081-3089
-
-
Ding, Y.1
Song, X.2
Zeng, Y.3
-
54
-
-
56349142889
-
Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods
-
Mar. 2009
-
M. Boyacioglu, Y. Kara, and O. Baykan, Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods, Expert Syst. Appl., vol. 36, no. 2, pp. 3355-3366, Mar. 2009.
-
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 3355-3366
-
-
Boyacioglu, M.1
Kara, Y.2
Baykan, O.3
-
55
-
-
84870777060
-
Focus of the issue: Credit scoring and bankruptcy prediction-Introduction
-
Apr. 2011
-
H. Li,M. Y. Kiang, and D. Andina, Focus of the issue: Credit scoring and bankruptcy prediction-Introduction, Int. J. Neural Syst., vol. 21, no. 4, pp. v-vi, Apr. 2011.
-
Int. J. Neural Syst.
, vol.21
, Issue.4
, pp. 5-6
-
-
Li, H.1
Kiang, M.Y.2
Andina, D.3
-
56
-
-
45049088570
-
Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers
-
Oct. 2008
-
J. Sun and H. Li, Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers, Expert Syst. Appl., vol. 35, no. 3, pp. 818-827, Oct. 2008.
-
Expert Syst. Appl.
, vol.35
, Issue.3
, pp. 818-827
-
-
Sun, J.1
Li, H.2
-
57
-
-
38649113538
-
Using neural network ensembles for bankruptcy prediction and credit scoring
-
May 2008
-
C. Tsai and J. Wu, Using neural network ensembles for bankruptcy prediction and credit scoring, Expert Syst. Appl., vol. 34, no. 4, pp. 2639-2649, May 2008.
-
Expert Syst. Appl.
, vol.34
, Issue.4
, pp. 2639-2649
-
-
Tsai, C.1
Wu, J.2
-
58
-
-
56349112745
-
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
-
Mar. 2008
-
L. Nanni and A. Lumini, An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring, Expert Syst. Appl., vol. 36, no. 2, pp. 3028-3033, Mar. 2008.
-
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 3028-3033
-
-
Nanni, L.1
Lumini, A.2
-
59
-
-
58349100252
-
A selective ensemble based on expected probabilities for bankruptcy prediction
-
Apr. 2009
-
C. Hung and J. Chen, A selective ensemble based on expected probabilities for bankruptcy prediction, Expert Syst. Appl., vol. 36, no. 3, pp. 5297-5303, Apr. 2009.
-
Expert Syst. Appl.
, vol.36
, Issue.3
, pp. 5297-5303
-
-
Hung, C.1
Chen, J.2
-
60
-
-
60249097469
-
Financial distress prediction based on serial combination of multiple classifiers
-
May 2009
-
J. J. Sun and H. Li, Financial distress prediction based on serial combination of multiple classifiers, Expert Syst. Appl., vol. 36, no. 4, pp. 8659-8666, May 2009.
-
Expert Syst. Appl.
, vol.36
, Issue.4
, pp. 8659-8666
-
-
Sun, J.J.1
Li, H.2
-
61
-
-
41149115573
-
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
-
Apr. 2008
-
E. Alfaro, N. García, M. Gámez, and D. Elizondo, Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks, Decision Support Syst., vol. 45, no. 1, pp. 110-122, Apr. 2008.
-
Decision Support Syst.
, vol.45
, Issue.1
, pp. 110-122
-
-
Alfaro, E.1
García, N.2
Gámez, M.3
Elizondo, D.4
-
62
-
-
71349086364
-
Ensemble with neural networks for bankruptcy prediction
-
Apr. 2010
-
M. Kim and D. Kang, Ensemble with neural networks for bankruptcy prediction, Expert Syst. Appl., vol. 37, no. 4, pp. 3373-3379, Apr. 2010.
-
Expert Syst. Appl.
, vol.37
, Issue.4
, pp. 3373-3379
-
-
Kim, M.1
Kang, D.2
-
63
-
-
0030126609
-
Learning in the presence of concept drift and hidden contexts
-
Apr. 1996
-
G. Widmer and M. Kubat, Learning in the presence of concept drift and hidden contexts, Mach. Learn., vol. 23, no. 1, pp. 69-101, Apr. 1996.
-
Mach. Learn.
, vol.23
, Issue.1
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
64
-
-
0141804082
-
Detecting concept drift with support vector machines
-
ICML
-
R. Klinkenberg and T. Joachims, Detecting concept drift with support vector machines, in Proc. 17th ICML, 2000, pp. 487-494.
-
(2000)
Proc. 17th
, pp. 487-494
-
-
Klinkenberg, R.1
Joachims, T.2
-
65
-
-
84883713774
-
Learning drifting concepts: Example selection vs example weighting
-
Aug. 2004
-
R. Klinkenberg, Learning drifting concepts: Example selection vs. example weighting, Intell. Data Anal., vol. 8, no. 3, pp. 281-300, Aug. 2004.
-
Intell. Data Anal.
, vol.8
, Issue.3
, pp. 281-300
-
-
Klinkenberg, R.1
-
66
-
-
71149091248
-
Efficient learning algorithms for changing environments
-
Montreal, QC, Canada
-
E. Hazan and C. Seshadhri, Efficient learning algorithms for changing environments, in Proc. 26th ICML, Montreal, QC, Canada, 2009, pp. 393-400.
-
(2009)
Proc. 26th ICML
, pp. 393-400
-
-
Hazan, E.1
Seshadhri, C.2
-
67
-
-
84860605585
-
Regret minimization with concept drift
-
Haifa, Israel
-
K. Crammer, Y. Mansour, E. Even-Dar, and J. W. Vaughan, Regret minimization with concept drift, in Proc. 23rd Annu. Conf. Learn. Theory, Haifa, Israel, 2010, pp. 168-180.
-
(2010)
Proc. 23rd Annu. Conf. Learn. Theory
, pp. 168-180
-
-
Crammer, K.1
Mansour, Y.2
Even-Dar, E.3
Vaughan, J.W.4
-
68
-
-
70350220741
-
A model updating strategy for predicting time series with seasonal patterns
-
J. A. Guajardo, R. Weber, and J. Miranda, A model updating strategy for predicting time series with seasonal patterns, Appl. Soft Comput., vol. 10, no. 1, pp. 276-283, 2010.
-
(2010)
Appl. Soft Comput.
, vol.10
, Issue.1
, pp. 276-283
-
-
Guajardo, J.A.1
Weber, R.2
Miranda, J.3
-
69
-
-
84887045419
-
Adapting to non-stationarity with growing expert ensembles
-
arXiv: 1103.0949
-
C. Shalizi, A. Jacobs, K. Klinkner, and A. Clauset, Adapting to non-stationarity with growing expert ensembles, Mach. Learn., 2011, arXiv:1103.0949.
-
(2011)
Mach. Learn.
-
-
Shalizi, C.1
Jacobs, A.2
Klinkner, K.3
Clauset, A.4
-
70
-
-
78751630981
-
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
-
Mar. 2011
-
E. Lughofer and P. Angelov, Handling drifts and shifts in on-line data streams with evolving fuzzy systems, Appl. Soft Comput., vol. 11, no. 2, pp. 2057-2068, Mar. 2011.
-
Appl. Soft Comput.
, vol.11
, Issue.2
, pp. 2057-2068
-
-
Lughofer, E.1
Angelov, P.2
-
71
-
-
84876970947
-
Recentness biased learning for time series forecasting
-
doi:10.1016/j.ins.2010.09.004
-
S. Gu, Y. Tan, and X. He, Recentness biased learning for time series forecasting, Inf. Sci., 2010, doi:10.1016/j.ins.2010.09.004.
-
(2010)
Inf. Sci.
-
-
Gu, S.1
Tan, Y.2
He, X.3
-
72
-
-
0030211964
-
Bagging predictors
-
Aug. 1996
-
L. Breiman, Bagging predictors, Mach. Learn., vol. 24, no. 2, pp. 123-140, Aug. 1996.
-
Mach. Learn.
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
73
-
-
0002978642
-
Experiments with a new boosting algorithm
-
San Francisco, CA
-
Y. Freund and R. E. Schapire, Experiments with a new boosting algorithm, in Proc. 13th Int. Conf. Mach. Learn., San Francisco, CA, 1996, pp. 148-156.
-
(1996)
Proc. 13th Int. Conf. Mach. Learn.
, pp. 148-156
-
-
Freund, Y.1
Schapire, R.E.2
-
74
-
-
23444448568
-
-
Hoboken NJ: Wiley
-
F. Heijden, R. Duin, D. Ridder, and D. M. J. Tax, Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB. Hoboken, NJ: Wiley, 2004.
-
(2004)
Classification Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB.
-
-
Heijden, F.1
Duin, R.2
Ridder, D.3
Tax, D.M.J.4
-
75
-
-
29144499905
-
Working set selection using second order information for training SVM
-
Dec. 2005
-
R.-E. Fan, P.-H. Chen, and C.-J. Lin, Working set selection using second order information for training SVM, J. Mach. Learn. Res., vol. 6, pp. 1889-1918, Dec. 2005.
-
J. Mach. Learn. Res.
, vol.6
, pp. 1889-1918
-
-
Fan, R.-E.1
Chen, P.-H.2
Lin, C.-J.3
-
76
-
-
13544268431
-
Neural network ensemble strategies for financial decision applications
-
Oct. 2005
-
D. West, S. Dellana, and J. Qian, Neural network ensemble strategies for financial decision applications, Comput. Oper. Res., vol. 32, no. 10, pp. 2543-2559, Oct. 2005.
-
Comput. Oper. Res.
, vol.32
, Issue.10
, pp. 2543-2559
-
-
West, D.1
Dellana, S.2
Qian, J.3
-
77
-
-
70349280929
-
An experimental comparison of performance measures for classification
-
Jan. 2009
-
C. Ferri, J. Hernández-Orallo, and R. Modroiu, An experimental comparison of performance measures for classification, Pattern Recognit. Lett., vol. 30, no. 1, pp. 27-38, Jan. 2009.
-
Pattern Recognit. Lett.
, vol.30
, Issue.1
, pp. 27-38
-
-
Ferri, C.1
Hernández-Orallo, J.2
Modroiu, R.3
-
78
-
-
84899004772
-
Using data mining for bank direct marketing: An application of the CRISP-DM methodology
-
P. Novais, J. Machado C. Analide, and A. Abelha, Eds., Guimarães, Portugal, Oct. 2011 B.
-
S. Moro, R. Laureano, and P. Cortez, Using data mining for bank direct marketing: An application of the CRISP-DM methodology, in Proc. Eur. Simul. Model. Conf., P. Novais, J. Machado, C. Analide, and A. Abelha, Eds., Guimarães, Portugal, Oct. 2011, pp. 117-121. B.
-
Proc. Eur. Simul. Model. Conf.
, pp. 117-121
-
-
Moro, S.1
Laureano, R.2
Cortez, P.3
|