Klaus B. Schebesch

15 papers Journal 2Unranked 12
YearRankTypeTitle / Venue / Authors
2020 — conf
Improving Credit Client Classification by Using Deep Neural Networks?
MDIS
Klaus B. Schebesch, Ralf W. Stecking
2015 J jnl
Classification of credit scoring data with privacy constraints.
Intell. Data Anal.
Ralf Stecking, Klaus B. Schebesch
2015 — conf
Topological Data Analysis for Extracting Hidden Features of Client Data.
OR
Klaus B. Schebesch, Ralf W. Stecking
2013 — conf
Clustering for Data Privacy and Classification Tasks.
OR
Klaus B. Schebesch, Ralf Stecking
2013 — ch.
Symbolic Cluster Representations for SVM in Credit Client Classification Tasks.
Statistical Models for Data Analysis
Ralf Stecking, Klaus B. Schebesch
2010 — conf
Classification of Large Imbalanced Credit Client Data with Cluster Based SVM.
GfKl
Ralf Stecking, Klaus B. Schebesch
2007 — conf
Improving Classifier Performance by Using Fictitious Training Data? A Case Study.
OR
Ralf Stecking, Klaus B. Schebesch
2007 — conf
Using Multiple SVM Models for Unbalanced Credit Scoring Data Sets.
GfKl
Klaus B. Schebesch, Ralf Stecking
2006 — conf
Combining Support Vector Machines for Credit Scoring.
OR
Ralf Stecking, Klaus B. Schebesch
2006 — conf
Selecting SVM Kernels and Input Variable Subsets in Credit Scoring Models.
GfKl
Klaus B. Schebesch, Ralf Stecking
2005 — conf
Comparing and Selecting SVM-Kernels for Credit Scoring.
GfKl
Ralf Stecking, Klaus B. Schebesch
2005 J jnl
Support vector machines for classifying and describing credit applicants: detecting typical and critical regions.
J. Oper. Res. Soc.
Klaus B. Schebesch, Ralf Stecking
2005 — conf
Variable Subset Selection for Credit Scoring with Support Vector Machines.
OR
Ralf Stecking, Klaus B. Schebesch
2004 — conf
Extracting Rules from Support Vector Machines.
OR
Klaus B. Schebesch, Ralf Stecking
2004 — conf
Informative Patterns for Credit Scoring: Support Vector Machines Preselect Data Subsets for Linear Discriminant Analysis.
GfKl
Ralf Stecking, Klaus B. Schebesch