Klaus Bruno Schebesch
Klaus Bruno Schebesch
Professor of Marketing Research & Computational Management, Vasile Goldis Western University, Arad
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Cited by
Cited by
Support vector machines for classifying and describing credit applicants: detecting typical and critical regions
KB Schebesch, R Stecking
Journal of the operational research society 56 (9), 1082-1088, 2005
Support vector machines for credit scoring: Extension to non standard cases
KB Schebesch, R Stecking
Innovations in Classification, Data Science, and Information Systems …, 2005
Support vector machines for credit scoring: comparing to and combining with some traditional classification methods
R Stecking, KB Schebesch
Between Data Science and Applied Data Analysis: Proceedings of the 26th …, 2003
Study of the tax wedge in EU and other OECD countries, using cluster analysis
CF Radu, C Fenişer, KB Schebesch, F Fenişer, FM Dobrea
Procedia-Social and Behavioral Sciences 238, 687-696, 2018
Using multiple SVM models for unbalanced credit scoring data sets
KB Schebesch, R Stecking
Data Analysis, Machine Learning and Applications: Proceedings of the 31st …, 2008
Comparing and selecting svm-kernels for credit scoring
R Stecking, KB Schebesch
From Data and Information Analysis to Knowledge Engineering: Proceedings of …, 2006
A new paradigm in contemporary marketing–computational marketing
KB Schebesch, NA Pop, C Pelău
Romanian Journal of Marketing 1 (2), 36-73, 2010
Variable subset selection for credit scoring with support vector machines
R Stecking, KB Schebesch
Operations Research Proceedings 2005: Selected Papers of the Annual …, 2006
Topological data analysis for extracting hidden features of client data
KB Schebesch, RW Stecking
Operations Research Proceedings 2015: Selected Papers of the International …, 2017
Combining support vector machines for credit scoring
R Stecking, KB Schebesch
Operations Research Proceedings 2006: Selected Papers of the Annual …, 2007
Using financial and entrepreneurial literacy of a region’s young population
KB Schebesch, L Pribac, R Blaga
ECIC2016-Proceedings of the 8th European Conference on Intellectual Capital …, 2016
Classification of credit scoring data with privacy constraints
R Stecking, KB Schebesch
Intelligent Data Analysis 19 (s1), S3-S18, 2015
Enabling IC formation in composite organizations: the action of trust and reputation mechanisms
KB Schebesch
Proceedings of the ECIC, 427-436, 2012
Selecting SVM kernels and input variable subsets in credit scoring models
KB Schebesch, R Stecking
Advances in Data Analysis: Proceedings of the 30th Annual Conference of the …, 2007
Informative Patterns for Credit Scoring: Support Vector Machines Preselect Data Subsets for Linear Discriminant Analysis
R Stecking, KB Schebesch
Classification—the Ubiquitous Challenge: Proceedings of the 28th Annual …, 2005
Intellectual capital formation in EU cross border regions: theory and application
KB Schebesch, E Tomé
International Journal of Intelligent Enterprise 2 (2-3), 236-254, 2014
Business incubators and sustainable innovation
SK Bruno
Annals of the University of Oradea, Economic Science Series 20 (1), 779-785, 2011
Some facilitators and inhibitors of knowledge-based socio-technological transformations
KB Schebesch
European Conference on Knowledge Management, 872-880, 2017
Clustering for data privacy and classification tasks
KB Schebesch, R Stecking
Operations Research Proceedings 2013: Selected Papers of the International …, 2014
Classification of large imbalanced credit client data with cluster based SVM
R Stecking, KB Schebesch
Challenges at the Interface of Data Analysis, Computer Science, and …, 2012
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