-
3
-
-
33748323158
-
QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network
-
M. Arakawa, K. Hasegawa, K. Funatsu QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network Chemo. Intell. Lab. Syst. 83 2006 91 98
-
(2006)
Chemo. Intell. Lab. Syst.
, vol.83
, pp. 91-98
-
-
Arakawa, M.1
Hasegawa, K.2
Funatsu, K.3
-
4
-
-
18744361851
-
Bayesian modeling of missing data in clinical research
-
P.C. Austin, M.D. Escobar Bayesian modeling of missing data in clinical research Comput. Statics Data Anal. 49 3 2005 821 836
-
(2005)
Comput. Statics Data Anal.
, vol.49
, Issue.3
, pp. 821-836
-
-
Austin, P.C.1
Escobar, M.D.2
-
5
-
-
84875231751
-
A hybrid method for imputation of missing vlaues using optimized fuzzy c-means with support vector regression and a genetic algorithm
-
B. Aydilek, A. Arslan A hybrid method for imputation of missing vlaues using optimized fuzzy c-means with support vector regression and a genetic algorithm Informat. Sci. 233 2013 25 35
-
(2013)
Informat. Sci.
, vol.233
, pp. 25-35
-
-
Aydilek, B.1
Arslan, A.2
-
6
-
-
69349099689
-
The Kohonen and CP-ANN toolbox: A collection of MATLAB modules for self-organizing maps and counterpropagation artificial neural networks
-
D. Ballabio, V. Consonni, R. Todeschini The Kohonen and CP-ANN toolbox: a collection of MATLAB modules for self-organizing maps and counterpropagation artificial neural networks Chemo. Intell. Lab. Syst. 98 2009 115 122
-
(2009)
Chemo. Intell. Lab. Syst.
, vol.98
, pp. 115-122
-
-
Ballabio, D.1
Consonni, V.2
Todeschini, R.3
-
7
-
-
34247546249
-
Characterization of the traditional Cypriot spirit Zivania by means of counterpropagation artificial neural networks
-
D. Ballabio, R. Kokkinofta, R. Todeschini, C.R. Theocharis Characterization of the traditional Cypriot spirit Zivania by means of counterpropagation artificial neural networks Chemo. Intell. Lab. Syst. 87 2007 52 58
-
(2007)
Chemo. Intell. Lab. Syst.
, vol.87
, pp. 52-58
-
-
Ballabio, D.1
Kokkinofta, R.2
Todeschini, R.3
Theocharis, C.R.4
-
8
-
-
78650937098
-
Genetic algorithms for architecture optimisation of counter-propagation artificial neural networks
-
D. Ballabio, M. Vasighi, V. Consonni, M. Kompany-Zareh Genetic algorithms for architecture optimisation of counter-propagation artificial neural networks Chemom. Intell. Lab. Syst. 105 2011 56 64
-
(2011)
Chemom. Intell. Lab. Syst.
, vol.105
, pp. 56-64
-
-
Ballabio, D.1
Vasighi, M.2
Consonni, V.3
Kompany-Zareh, M.4
-
11
-
-
0043234660
-
Variable precision rough set theory and data discretisation: An application to corporate failure prediction
-
M.J. Beynon, M.J. Peel Variable precision rough set theory and data discretisation: an application to corporate failure prediction Omega 29 2001 561 576
-
(2001)
Omega
, vol.29
, pp. 561-576
-
-
Beynon, M.J.1
Peel, M.J.2
-
12
-
-
11144282042
-
Multivariate data analysis in classification of vegetable oils characterized by the content of fatty acids
-
D. Brodnjak-Vončina, J.C. Kodba, M. Novic Multivariate data analysis in classification of vegetable oils characterized by the content of fatty acids Chemom. Intell. Lab. Syst. 75 2005 31 43
-
(2005)
Chemom. Intell. Lab. Syst.
, vol.75
, pp. 31-43
-
-
Brodnjak-Vončina, D.1
Kodba, J.C.2
Novic, M.3
-
13
-
-
3142573361
-
Autoregressive spectral analysis when observations are missing
-
P. Broersen, S. de Waele, R. Bos Autoregressive spectral analysis when observations are missing Automatica 40 9 2004 1495 1504
-
(2004)
Automatica
, vol.40
, Issue.9
, pp. 1495-1504
-
-
Broersen, P.1
De Waele, S.2
Bos, R.3
-
14
-
-
13544271697
-
Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case
-
S. Canbas, A. Caubak, S.B. Kilic Prediction of commercial bank failure via multivariate statistical analysis of financial structures: the Turkish case Eur. J. Oper. Res. 166 2005 528 546
-
(2005)
Eur. J. Oper. Res.
, vol.166
, pp. 528-546
-
-
Canbas, S.1
Caubak, A.2
Kilic, S.B.3
-
15
-
-
0021776661
-
A massively parallel architecture for a self-organizing neural pattern recognition machine
-
G. Carpenter, S. Grossberg A massively parallel architecture for a self-organizing neural pattern recognition machine Comput. Verion. Graph. Image Process. 37 1987 54 115
-
(1987)
Comput. Verion. Graph. Image Process.
, vol.37
, pp. 54-115
-
-
Carpenter, G.1
Grossberg, S.2
-
16
-
-
77957841216
-
Copyright authentication for images with a full counter-propagation neural network
-
C-Y. Chang, H-J. Wang, S-J. Su Copyright authentication for images with a full counter-propagation neural network Expert Syst. Appl. 37 12 2010 7639 7647
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.12
, pp. 7639-7647
-
-
Chang, C.-Y.1
Wang, H.-J.2
Su, S.-J.3
-
17
-
-
50949109918
-
A selective Bayes Classifier for classifying incomplete data based on gain ratio
-
J. Chen, H. Huang, F. Tian, S. Tian A selective Bayes Classifier for classifying incomplete data based on gain ratio Knowl. Based Syst. 21 7 2008 530 534
-
(2008)
Knowl. Based Syst.
, vol.21
, Issue.7
, pp. 530-534
-
-
Chen, J.1
Huang, H.2
Tian, F.3
Tian, S.4
-
19
-
-
0002629270
-
Maximum-likelihood from incomplete data via the em algorithm
-
P. Dempster, N.M. Laird, D.B. Rubin Maximum-likelihood from incomplete data via the EM algorithm J. Roy. Stat. Soc. 39 1 1977 1 38
-
(1977)
J. Roy. Stat. Soc.
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, P.1
Laird, N.M.2
Rubin, D.B.3
-
20
-
-
50849151631
-
Control problems of grey system
-
J.L. Deng Control problems of grey system Syst. Control Lett. 1 1982 288 294
-
(1982)
Syst. Control Lett.
, vol.1
, pp. 288-294
-
-
Deng, J.L.1
-
21
-
-
0003376068
-
A constrained unfolding methodology for product positioning
-
W.S. Desarbo, V.R. Rao A constrained unfolding methodology for product positioning Market. Sci. 5 1 1986 1 19
-
(1986)
Market. Sci.
, vol.5
, Issue.1
, pp. 1-19
-
-
Desarbo, W.S.1
Rao, V.R.2
-
22
-
-
84888869357
-
Recursive partitioning for missing data imputation in the presence of interaction effects
-
L.L. Doove, S.V. Buuren, E. Dusseldorp Recursive partitioning for missing data imputation in the presence of interaction effects Comput. Stat. Data Anal. 72 2013 92 104
-
(2013)
Comput. Stat. Data Anal.
, vol.72
, pp. 92-104
-
-
Doove, L.L.1
Buuren, S.V.2
Dusseldorp, E.3
-
23
-
-
84885094995
-
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm
-
M. Duma, T. Marwala, B. Twala, F. Nelwamondo Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm Appl. Soft Comput. 13 2013 4461 4480
-
(2013)
Appl. Soft Comput.
, vol.13
, pp. 4461-4480
-
-
Duma, M.1
Marwala, T.2
Twala, B.3
Nelwamondo, F.4
-
24
-
-
0037005708
-
Estimation of missing stream flow data using the principles of chaos theory
-
A. Elshorbagy, S.P. Simonovic, U.S. Panu Estimation of missing stream flow data using the principles of chaos theory J. Hydrol. 255 1 2002 123 133
-
(2002)
J. Hydrol.
, vol.255
, Issue.1
, pp. 123-133
-
-
Elshorbagy, A.1
Simonovic, S.P.2
Panu, U.S.3
-
25
-
-
84890117828
-
Missing data in longitudinal studies: Cross-sectional multiple imputation provides similar estimates to full-information maximum likelihood
-
M.A. Ferro Missing data in longitudinal studies: cross-sectional multiple imputation provides similar estimates to full-information maximum likelihood Ann. Epidemiol. 24 2014 75 77
-
(2014)
Ann. Epidemiol.
, vol.24
, pp. 75-77
-
-
Ferro, M.A.1
-
26
-
-
38249042989
-
A pragmatic view of accuracy measurement in forecasting
-
E. Flores A pragmatic view of accuracy measurement in forecasting Omega 14 2 1986 93 98
-
(1986)
Omega
, vol.14
, Issue.2
, pp. 93-98
-
-
Flores, E.1
-
27
-
-
0036732448
-
Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems
-
B. Gabrys Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems Int. J. Approx. Reason. 30 2002 149 179
-
(2002)
Int. J. Approx. Reason.
, vol.30
, pp. 149-179
-
-
Gabrys, B.1
-
28
-
-
79960233365
-
Missing data imputation in multivariate data by evolutionary algorithms
-
J.C.F. García, D. Kalenatic, C.A.L. Bello Missing data imputation in multivariate data by evolutionary algorithms Comput. Hum. Behav. 27 2011 1468 1474
-
(2011)
Comput. Hum. Behav.
, vol.27
, pp. 1468-1474
-
-
García, J.C.F.1
Kalenatic, D.2
Bello, C.A.L.3
-
31
-
-
84923608372
-
Data imputation via evolutionary computation, clustering and a neural network
-
C. Gautam, V. Ravi Data imputation via evolutionary computation, clustering and a neural network Neurocomputing 156 2015 134 142
-
(2015)
Neurocomputing
, vol.156
, pp. 134-142
-
-
Gautam, C.1
Ravi, V.2
-
32
-
-
84896500167
-
A practical comparison of single and multiple imputation methods to handle complex missing data in air quality datasets
-
M.P. Gómez-Carracedo, J.M. Andrade, P. López-Mahía, S. Muniategui, D. Prada A practical comparison of single and multiple imputation methods to handle complex missing data in air quality datasets Chemom. Intell. Lab. Syst. 134 2014 23 33
-
(2014)
Chemom. Intell. Lab. Syst.
, vol.134
, pp. 23-33
-
-
Gómez-Carracedo, M.P.1
Andrade, J.M.2
López-Mahía, P.3
Muniategui, S.4
Prada, D.5
-
33
-
-
0030085894
-
Estimating missing values using neural networks
-
A. Gupta, M.S. Lam Estimating missing values using neural networks J. Oper. Res. Soc. 47 2 1996 229 238
-
(1996)
J. Oper. Res. Soc.
, vol.47
, Issue.2
, pp. 229-238
-
-
Gupta, A.1
Lam, M.S.2
-
34
-
-
0023515080
-
Counterpropagation networks
-
R. Hecht-Nielsen Counterpropagation networks Appl. Opt. 26 1987 4979 4984
-
(1987)
Appl. Opt.
, vol.26
, pp. 4979-4984
-
-
Hecht-Nielsen, R.1
-
35
-
-
33747356781
-
The problem of missing data in geoscience databases
-
S. Henley The problem of missing data in geoscience databases Comput. Geosci. 32 2006 1368 1377
-
(2006)
Comput. Geosci.
, vol.32
, pp. 1368-1377
-
-
Henley, S.1
-
36
-
-
84941584223
-
-
accessed 18.07.15
-
http://www.cis.hut.fi/projects/somtoolbox/, 2015 (accessed 18.07.15).
-
(2015)
-
-
-
37
-
-
84941584224
-
-
accessed 11.11.14
-
http://www.disat.unimib.it/chm, 2014 (accessed 11.11.14).
-
(2014)
-
-
-
38
-
-
84941584225
-
-
retrieved from, StatLib library, Carnegie Mellon University, (accessed 18.07.15)
-
E. Ramos, D. Donoho, Auto MPG dataset retrieved from http://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data, StatLib library, Carnegie Mellon University, 2015 (accessed 18.07.15).
-
(2015)
Auto MPG Dataset
-
-
Ramos, E.1
Donoho, D.2
-
39
-
-
84941584226
-
-
retrieved from, (accessed 11.11.14)
-
P. Cortez, A. Morais, Forest Fire dataset retrieved from http://archive.ics.uci.edu/ml/machine-learning-databases/forest-fires/forestfires.csv, 2014 (accessed 11.11.14).
-
(2014)
Forest Fire Dataset
-
-
Cortez, P.1
Morais, A.2
-
40
-
-
84997790444
-
-
retrieved from, (accessed 18.07.15)
-
D. Harrison, D.L. Rubinfeld, Boston Housing dataset retrieved from http://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data, 2015 (accessed 18.07.15).
-
(2015)
Boston Housing Dataset
-
-
Harrison, D.1
Rubinfeld, D.L.2
-
41
-
-
84871982496
-
-
retrieved from, (accessed 18.07.15)
-
R.A. Fisher, Iris dataset retrieved from http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data, 2015 (accessed 18.07.15).
-
(2015)
Iris Dataset
-
-
Fisher, R.A.1
-
44
-
-
84941570993
-
-
retrieved from, (accessed 18.07.15)
-
Wine dataset retrieved from http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data, 2015 (accessed 18.07.15).
-
(2015)
Wine Dataset
-
-
-
45
-
-
84941584230
-
-
retrieved from, StatLib library, Carnegie Mellon University, (accessed 18.07.15)
-
R.W. Johnson, Bodyfat dataset retrieved from http://lib.stat.cmu.edu/datasets/bodyfat, StatLib library, Carnegie Mellon University, 2015 (accessed 18.07.15).
-
(2015)
Bodyfat Dataset
-
-
Johnson, R.W.1
-
46
-
-
84941584231
-
-
retrieved from, (accessed 18.07.15)
-
Spanish dataset retrieved from http://www.tbb.org.tr/english/bulten/yillik/2000/ratios.xls, 2015 (accessed 18.07.15).
-
(2015)
Spanish Dataset
-
-
-
47
-
-
84889688873
-
Incomplete-case nearest neighbor imputation in software measurement data
-
J.V. Hulse, T.M. Khoshgoftaar Incomplete-case nearest neighbor imputation in software measurement data Inform. Sci. 259 2014 596 610
-
(2014)
Inform. Sci.
, vol.259
, pp. 596-610
-
-
Hulse, J.V.1
Khoshgoftaar, T.M.2
-
48
-
-
33847242638
-
Missing data imputation in breast cancer prognosis
-
J. Jerez, I. Molina, J. Subirates, L. Franco Missing data imputation in breast cancer prognosis Proceedings of the 24th IASTED International Conference on Biomedical Engineering (BioMed'06), Anaheim, CA, USA 2006
-
Proceedings of the 24th IASTED International Conference on Biomedical Engineering (BioMed'06), Anaheim, CA, USA, 2006
-
-
Jerez, J.1
Molina, I.2
Subirates, J.3
Franco, L.4
-
49
-
-
84912002566
-
Imputation of missing data in time series for air pollutants
-
W.L. Junger, A.P. Leon Imputation of missing data in time series for air pollutants Atmos. Environ. 102 2015 96 104
-
(2015)
Atmos. Environ.
, vol.102
, pp. 96-104
-
-
Junger, W.L.1
Leon, A.P.2
-
50
-
-
84881242648
-
Locally linear reconstruction based missing value imputation for supervised learning
-
P. Kang Locally linear reconstruction based missing value imputation for supervised learning Neurocomputing 118 2013 65 78
-
(2013)
Neurocomputing
, vol.118
, pp. 65-78
-
-
Kang, P.1
-
56
-
-
84885954235
-
Nearest neighbour imputation using spatial-temporal correlations in wireless sensor networks
-
Y.Y. Li, L.E. Parker Nearest neighbour imputation using spatial-temporal correlations in wireless sensor networks Informat. Fusion 15 2014 64 79
-
(2014)
Informat. Fusion
, vol.15
, pp. 64-79
-
-
Li, Y.Y.1
Parker, L.E.2
-
57
-
-
84865233213
-
Noisy data elimination using mutual k-nearest neighbor for classification mining
-
H. Liu, S. Zhang Noisy data elimination using mutual k-nearest neighbor for classification mining J. Syst. Softw. 85 5 2012 1067 1074
-
(2012)
J. Syst. Softw.
, vol.85
, Issue.5
, pp. 1067-1074
-
-
Liu, H.1
Zhang, S.2
-
58
-
-
19844365583
-
The auto-associative neural network in signal analysis II. Application to on-line monitoring of a simulated BWR component
-
M. Marseguerra, A. Zoia The auto-associative neural network in signal analysis II. Application to on-line monitoring of a simulated BWR component Ann. Nuclear Energy 32 11 2002 1207 1223
-
(2002)
Ann. Nuclear Energy
, vol.32
, Issue.11
, pp. 1207-1223
-
-
Marseguerra, M.1
Zoia, A.2
-
59
-
-
33644880300
-
Fault classification in structures with incomplete measured data using auto associative neural networks and genetic algorithm
-
T. Marwala, S. Chakraverty Fault classification in structures with incomplete measured data using auto associative neural networks and genetic algorithm Current Sci. India 90 4 2006 542 548
-
(2006)
Current Sci. India
, vol.90
, Issue.4
, pp. 542-548
-
-
Marwala, T.1
Chakraverty, S.2
-
60
-
-
79956146364
-
-
Natick, Massachusetts: The MathWorks Inc.
-
MATLAB version 7.10.0. Natick, Massachusetts: The MathWorks Inc., 2010.
-
(2010)
MATLAB Version 7.10.0
-
-
-
62
-
-
77649236297
-
X-SOM and L-SOM: A double classification approach for missing value imputation
-
P. Merlin, A. Sorjamaa, B. Maillet, A. Lendasse X-SOM and L-SOM: a double classification approach for missing value imputation Neurocomputing 73 2010 1103 1108
-
(2010)
Neurocomputing
, vol.73
, pp. 1103-1108
-
-
Merlin, P.1
Sorjamaa, A.2
Maillet, B.3
Lendasse, A.4
-
63
-
-
84876958285
-
A dynamic programming approach to missing data estimation using neural networks
-
F.V. Nelwamondo, D. Golding, T. Marawala A dynamic programming approach to missing data estimation using neural networks Informat. Sci. 237 2013 49 58
-
(2013)
Informat. Sci.
, vol.237
, pp. 49-58
-
-
Nelwamondo, F.V.1
Golding, D.2
Marawala, T.3
-
64
-
-
84892169160
-
A computational intelligence based online data imputation method: An application for banking
-
K.J. Nishanth, V. Ravi A computational intelligence based online data imputation method: an application for banking J. Inform. Process. Syst. 9 4 2013 633 650
-
(2013)
J. Inform. Process. Syst.
, vol.9
, Issue.4
, pp. 633-650
-
-
Nishanth, K.J.1
Ravi, V.2
-
65
-
-
84861186486
-
Soft computing based imputation and hybrid data and text mining: The case of predicting the severity of phishing alerts
-
K.J. Nishanth, V. Ravi, N. Ankaiah, I. Bose Soft computing based imputation and hybrid data and text mining: the case of predicting the severity of phishing alerts Expert Syst. Appl. 39 12 2012 10583 10589
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.12
, pp. 10583-10589
-
-
Nishanth, K.J.1
Ravi, V.2
Ankaiah, N.3
Bose, I.4
-
66
-
-
80054087409
-
Filling of missing rainfall data in Luvuvhu river catchment using artificial neural networks
-
T.R. Nkuna, J.O. Odiyo Filling of missing rainfall data in Luvuvhu river catchment using artificial neural networks Phys. Chem. Earth A/B/C 36 14-15 2011 830 835
-
(2011)
Phys. Chem. Earth A/B/C
, vol.36
, Issue.14-15
, pp. 830-835
-
-
Nkuna, T.R.1
Odiyo, J.O.2
-
67
-
-
0043007739
-
Neural network imputation applied to the Norwegian 1990 population census data
-
S. Nordbotten Neural network imputation applied to the Norwegian 1990 population census data J. Off. Stat. 12 1996 385 401
-
(1996)
J. Off. Stat.
, vol.12
, pp. 385-401
-
-
Nordbotten, S.1
-
68
-
-
79951578021
-
Missing data analysis with fuzzy C-Means: A study of its application in a psychological scenario
-
G.D. Nuovo Missing data analysis with fuzzy C-Means: A study of its application in a psychological scenario Expert Syst. Appl. 38 6 2011 6793 6797
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.6
, pp. 6793-6797
-
-
Nuovo, G.D.1
-
69
-
-
0004401956
-
Hybrid classifiers for financial multicriteria decision making: The case of bankruptcy prediction
-
I. Olmeda, E. Fernandez Hybrid classifiers for financial multicriteria decision making: the case of bankruptcy prediction Comput. Econom. 10 1997 317 335
-
(1997)
Comput. Econom.
, vol.10
, pp. 317-335
-
-
Olmeda, I.1
Fernandez, E.2
-
70
-
-
84920903639
-
A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator
-
Z. Qiu, X. Chen, Y. Zhou A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator Stat. Probab. Lett. 98 2015 89 97
-
(2015)
Stat. Probab. Lett.
, vol.98
, pp. 89-97
-
-
Qiu, Z.1
Chen, X.2
Zhou, Y.3
-
71
-
-
0343526733
-
MVC - A preprocessing method to deal with missing values
-
A. Ragel, B. Cremilleux MVC - a preprocessing method to deal with missing values Knowl. Based Syst. 12 1999 285 291
-
(1999)
Knowl. Based Syst.
, vol.12
, pp. 285-291
-
-
Ragel, A.1
Cremilleux, B.2
-
72
-
-
84885426937
-
Missing value imputation using decision trees and decision forests by splitting and merging records: Two novel techniques
-
Md.G. Rahman, Md.Z. Islam Missing value imputation using decision trees and decision forests by splitting and merging records: two novel techniques Knowl. Based Syst. 53 2013 51 65
-
(2013)
Knowl. Based Syst.
, vol.53
, pp. 51-65
-
-
Rahman, Md.G.1
Islam, Md.Z.2
-
73
-
-
0037470203
-
Separation of data on the training and test set for modelling: A case study for modelling of five colour properties of a white pigment
-
K. Rajer-Kanduč, J. Zupan, N. Majcen Separation of data on the training and test set for modelling: a case study for modelling of five colour properties of a white pigment Chemom. Intell. Lab. Syst. 65 2003 221 229
-
(2003)
Chemom. Intell. Lab. Syst.
, vol.65
, pp. 221-229
-
-
Rajer-Kanduč, K.1
Zupan, J.2
Majcen, N.3
-
74
-
-
84941584233
-
Bayesian network data imputation with application to survival tree analysis
-
P.M.V. Rancoita, M. Zaffalon, E. Zucca, F. Bertoni, C.P. Campos Bayesian network data imputation with application to survival tree analysis Comput. Stat. Data Anal. 98 2015 89 97
-
(2015)
Comput. Stat. Data Anal.
, vol.98
, pp. 89-97
-
-
Rancoita, P.M.V.1
Zaffalon, M.2
Zucca, E.3
Bertoni, F.4
Campos, C.P.5
-
75
-
-
84976616101
-
Missing data: Weighting and imputation
-
Elsevier
-
P.J. Rathouz Missing data: weighting and imputation Encyclopaedia of Health Economics 2014 Elsevier 292 298
-
(2014)
Encyclopaedia of Health Economics
, pp. 292-298
-
-
Rathouz, P.J.1
-
76
-
-
84899895795
-
A new online data imputation method based on general regression auto associative neural network
-
V. Ravi, M. Krishna A new online data imputation method based on general regression auto associative neural network Neurocomputing 138 2014 207 212
-
(2014)
Neurocomputing
, vol.138
, pp. 207-212
-
-
Ravi, V.1
Krishna, M.2
-
77
-
-
0002081757
-
Self-organization with partial data network
-
T. Samad, S.A. Harp Self-organization with partial data network Comput. Neural Syst. 3 1992 205 212
-
(1992)
Comput. Neural Syst.
, vol.3
, pp. 205-212
-
-
Samad, T.1
Harp, S.A.2
-
79
-
-
0035880503
-
Singular spectrum analysis for time series with missing data
-
D.H. Schoellhamer Singular spectrum analysis for time series with missing data Geophys. Res. Lett. 28 16 2001 3187 3190
-
(2001)
Geophys. Res. Lett.
, vol.28
, Issue.16
, pp. 3187-3190
-
-
Schoellhamer, D.H.1
-
80
-
-
0002812717
-
Dealing with missing values in neural network based diagnostic systems
-
P.K. Sharpe, R.J. Solly Dealing with missing values in neural network based diagnostic systems Neural Comput. Appl. 3 2 1995 73 77
-
(1995)
Neural Comput. Appl.
, vol.3
, Issue.2
, pp. 73-77
-
-
Sharpe, P.K.1
Solly, R.J.2
-
82
-
-
78649645941
-
Missing value imputation on missing completely at random data using multilayer perceptrons
-
E.L. Silva-Ramírez, R. Pino-Mejías, M. López-Coello, M.D. Cubiles-de-la-Vega Missing value imputation on missing completely at random data using multilayer perceptrons Neural Netw. 24 1 2011 121 129
-
(2011)
Neural Netw.
, vol.24
, Issue.1
, pp. 121-129
-
-
Silva-Ramírez, E.L.1
Pino-Mejías, R.2
López-Coello, M.3
Cubiles-De-La-Vega, M.D.4
-
83
-
-
84920696294
-
Single imputation with multilayer perceptron and multiple imputation combining multilayer perceptron and k-nearest neighbours for monotone patterns
-
E. Silva-Ramírez, R. Pino-Mejías, M. López-Coello Single imputation with multilayer perceptron and multiple imputation combining multilayer perceptron and k-nearest neighbours for monotone patterns Appl. Soft Comput. 29 2015 65 74
-
(2015)
Appl. Soft Comput.
, vol.29
, pp. 65-74
-
-
Silva-Ramírez, E.1
Pino-Mejías, R.2
López-Coello, M.3
-
84
-
-
33750994891
-
A new imputation method for small software project data sets
-
Q. Song, M. Shepperd A new imputation method for small software project data sets J. Syst. Software 80 1 2007 51 62
-
(2007)
J. Syst. Software
, vol.80
, Issue.1
, pp. 51-62
-
-
Song, Q.1
Shepperd, M.2
-
85
-
-
84912055274
-
A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation
-
J. Tang, G. Zhang, Y. Wang, H. Wang, F. Liu A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation Transp. Res. Part C: Emerg. Technol. 51 2015 29 40
-
(2015)
Transp. Res. Part C: Emerg. Technol.
, vol.51
, pp. 29-40
-
-
Tang, J.1
Zhang, G.2
Wang, Y.3
Wang, H.4
Liu, F.5
-
87
-
-
84894565892
-
"Missing data analyses: A hybrid multiple imputation algorithm using grey system theory and entropy based on clustering
-
J. Tian, B. Yu, D. Yu, S. Ma "Missing data analyses: a hybrid multiple imputation algorithm using grey system theory and entropy based on clustering Appl. Intell. 40 2013 1 13
-
(2013)
Appl. Intell.
, vol.40
, pp. 1-13
-
-
Tian, J.1
Yu, B.2
Yu, D.3
Ma, S.4
-
88
-
-
0034960264
-
Missing value estimation methods for DNA microarrays
-
O. Troyanskaya, M. Cantor, G. Sherlock, P. Brown, T. Hastie, R. Tibshirani, D. Botstein, R.B. Altman Missing value estimation methods for DNA microarrays Bioinformatics 17 2001 520 525
-
(2001)
Bioinformatics
, vol.17
, pp. 520-525
-
-
Troyanskaya, O.1
Cantor, M.2
Sherlock, G.3
Brown, P.4
Hastie, T.5
Tibshirani, R.6
Botstein, D.7
Altman, R.B.8
-
89
-
-
0036126816
-
Attrition in longitudinal studies: How to deal with missing data
-
J. Twisk, W.D. Vente Attrition in longitudinal studies: How to deal with missing data J. Clinical Epidemiol. 55 2002 329 337
-
(2002)
J. Clinical Epidemiol.
, vol.55
, pp. 329-337
-
-
Twisk, J.1
Vente, W.D.2
-
90
-
-
38049168357
-
SOM-based data visualization methods
-
J. Vesanto SOM-based data visualization methods Intell. Data Anal. 3 1999 111 126
-
(1999)
Intell. Data Anal.
, vol.3
, pp. 111-126
-
-
Vesanto, J.1
-
92
-
-
0001884644
-
Individual comparisons by ranking methods
-
F. Wilcoxon Individual comparisons by ranking methods Biometrics Bull 1 1945 80 83
-
(1945)
Biometrics Bull
, vol.1
, pp. 80-83
-
-
Wilcoxon, F.1
-
93
-
-
84941584234
-
-
Retrieved from, (accessed 18.07.15)
-
Retrieved from www.sussex.ac.uk/Users/grahamh/RM1web/WilcoxonTable2005.pdf, 2015 (accessed 18.07.15).
-
(2015)
-
-
-
94
-
-
0033350105
-
Training algorithm with incomplete data for feed-forward neural networks
-
S.Y. Yoon, S.Y. Lee Training algorithm with incomplete data for feed-forward neural networks Neural Process. Lett. 10 1999 171 179
-
(1999)
Neural Process. Lett.
, vol.10
, pp. 171-179
-
-
Yoon, S.Y.1
Lee, S.Y.2
-
95
-
-
84865249371
-
Nearest neighbor selection for iteratively kNN imputation
-
S. Zhang Nearest neighbor selection for iteratively kNN imputation J. Syst. Softw. 85 11 2012 2541 2552
-
(2012)
J. Syst. Softw.
, vol.85
, Issue.11
, pp. 2541-2552
-
-
Zhang, S.1
-
96
-
-
0030737774
-
Kohonen and counterpropagation artificial neural networks in analytical chemistry
-
J. Zupan, M. Novic, I. Ruisánchez Kohonen and counterpropagation artificial neural networks in analytical chemistry Chemom. Intell. Lab. Syst. 38 1997 1 23
-
(1997)
Chemom. Intell. Lab. Syst.
, vol.38
, pp. 1-23
-
-
Zupan, J.1
Novic, M.2
Ruisánchez, I.3
-
97
-
-
0028864978
-
Neural networks with counter-propagation learning strategy used for modelling
-
J. Zupan, M. Novic, J. Gasteiger Neural networks with counter-propagation learning strategy used for modelling Chemom. Intell. Lab. Syst 27 1995 175 187
-
(1995)
Chemom. Intell. Lab. Syst
, vol.27
, pp. 175-187
-
-
Zupan, J.1
Novic, M.2
Gasteiger, J.3
|