Ralf Stecking

发表

Informative Patterns for Credit Scoring: Support Vector Machines Preselect Data Subsets for Linear Discriminant Analysis

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2004, GfKl.

Support Vector Machines for Credit Scoring: Comparing to and Combining With Some Traditional Classification Methods

Ralf Stecking, Klaus B. Schebesch, 2003 .

Support vector machines for classifying and describing credit applicants: detecting typical and critical regions

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2005, J. Oper. Res. Soc..

Improving Classifier Performance by Using Fictitious Training Data? A Case Study

Ralf Stecking, Klaus B. Schebesch, 2007, OR.

Data Similarity in Classification and Fictitious Training Data Generation

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2009 .

Using Multiple SVM Models for Unbalanced Credit Scoring Data Sets

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2007, GfKl.

Combining Support Vector Machines for Credit Scoring

Ralf Stecking, Klaus B. Schebesch, 2006, OR.

Classification of credit scoring data with privacy constraints

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2015, Intell. Data Anal..

Clustering for Data Privacy and Classification Tasks

Ralf Stecking, Klaus B. Schebesch, 2013, OR.

Support Vector Machines for Credit Scoring: Extension to Non Standard Cases

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2005 .

Extracting Rules from Support Vector Machines

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2004, OR.

Comparing and Selecting SVM-Kernels for Credit Scoring

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2005, GfKl.

Symbolic Cluster Representations for SVM in Credit Client Classification Tasks

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2013, Statistical Models for Data Analysis.

Classification of Large Imbalanced Credit Client Data with Cluster Based SVM

Ralf Stecking, Klaus B. Schebesch, 2010, GfKl.

Variable Subset Selection for Credit Scoring with Support Vector Machines

Ralf Stecking, Klaus B. Schebesch, Ralf Stecking, 2005, OR.

Selecting SVM Kernels and Input Variable Subsets in Credit Scoring Models

Ralf Stecking, Klaus B. Schebesch, 2006, GfKl.

Improving Credit Client Classification by Using Deep Neural Networks?

Ralf Stecking, Klaus B. Schebesch, 2021 .