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ORCIDKlaus B. Schebesch
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2020 – today
- 2020
[c12]Klaus B. Schebesch
, Ralf W. Stecking:
Improving Credit Client Classification by Using Deep Neural Networks? MDIS 2020: 129-148
2010 – 2019
- 2015
- [j2]Ralf Stecking, Klaus B. Schebesch:
Classification of credit scoring data with privacy constraints. Intell. Data Anal. 19(s1): S3-S18 (2015) - [c11]Klaus B. Schebesch, Ralf W. Stecking:
Topological Data Analysis for Extracting Hidden Features of Client Data. OR 2015: 483-489 - 2013
- [c10]Klaus B. Schebesch, Ralf Stecking:
Clustering for Data Privacy and Classification Tasks. OR 2013: 397-403 - [p1]Ralf Stecking, Klaus B. Schebesch:
Symbolic Cluster Representations for SVM in Credit Client Classification Tasks. Statistical Models for Data Analysis 2013: 353-360 - 2010
- [c9]Ralf Stecking, Klaus B. Schebesch:
Classification of Large Imbalanced Credit Client Data with Cluster Based SVM. GfKl 2010: 443-451
2000 – 2009
- 2007
- [c8]Klaus B. Schebesch, Ralf Stecking:
Using Multiple SVM Models for Unbalanced Credit Scoring Data Sets. GfKl 2007: 515-522 - [c7]Ralf Stecking, Klaus B. Schebesch:
Improving Classifier Performance by Using Fictitious Training Data? A Case Study. OR 2007: 89-94 - 2006
- [c6]Klaus B. Schebesch, Ralf Stecking:
Selecting SVM Kernels and Input Variable Subsets in Credit Scoring Models. GfKl 2006: 179-186 - [c5]Ralf Stecking, Klaus B. Schebesch:
Combining Support Vector Machines for Credit Scoring. OR 2006: 135-140 - 2005
- [j1]Klaus B. Schebesch, Ralf Stecking:
Support vector machines for classifying and describing credit applicants: detecting typical and critical regions. J. Oper. Res. Soc. 56(9): 1082-1088 (2005) - [c4]Ralf Stecking, Klaus B. Schebesch:
Comparing and Selecting SVM-Kernels for Credit Scoring. GfKl 2005: 542-549 - [c3]Ralf Stecking, Klaus B. Schebesch:
Variable Subset Selection for Credit Scoring with Support Vector Machines. OR 2005: 251-256 - 2004
- [c2]Ralf Stecking, Klaus B. Schebesch:
Informative Patterns for Credit Scoring: Support Vector Machines Preselect Data Subsets for Linear Discriminant Analysis. GfKl 2004: 450-457 - [c1]Klaus B. Schebesch, Ralf Stecking:
Extracting Rules from Support Vector Machines. OR 2004: 408-415
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