| 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 | 149 | 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 | 34 | 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 | 25 | 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 | 17 | 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 | 12 | 2008 |
| Comparing and selecting svm-kernels for credit scoring R Stecking, KB Schebesch From Data and Information Analysis to Knowledge Engineering: Proceedings of …, 2006 | 12 | 2006 |
| A new paradigm in contemporary marketing–computational marketing KB Schebesch, NA Pop, C Pelău Romanian Journal of Marketing 1 (2), 36-73, 2010 | 11 | 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 | 10 | 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 | 7 | 2017 |
| Combining support vector machines for credit scoring R Stecking, KB Schebesch Operations Research Proceedings 2006: Selected Papers of the Annual …, 2007 | 6 | 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 | 5 | 2016 |
| Classification of credit scoring data with privacy constraints R Stecking, KB Schebesch Intelligent Data Analysis 19 (s1), S3-S18, 2015 | 5 | 2015 |
| Enabling IC formation in composite organizations: the action of trust and reputation mechanisms KB Schebesch Proceedings of the ECIC, 427-436, 2012 | 5 | 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 | 5 | 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 | 5 | 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 | 4 | 2014 |
| Business incubators and sustainable innovation SK Bruno Annals of the University of Oradea, Economic Science Series 20 (1), 779-785, 2011 | 4 | 2011 |
| Some facilitators and inhibitors of knowledge-based socio-technological transformations KB Schebesch European Conference on Knowledge Management, 872-880, 2017 | 3 | 2017 |
| Clustering for data privacy and classification tasks KB Schebesch, R Stecking Operations Research Proceedings 2013: Selected Papers of the International …, 2014 | 3 | 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 | 3 | 2012 |
Nicolae Al. PopProfessor of Marketing, Bucharest University of Economic StudiesBestätigte E-Mail-Adresse bei mk.ase.ro
