Stefan Rüping

2009
21	EE	Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping, Anthony Assi: GridR: An R-based tool for scientific data analysis in grid environments. Future Generation Comp. Syst. 25(4): 481-488 (2009)
2008
20	EE	Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel: Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) 2008: 440-456
19		Manolis Tsiknakis, Stelios Sfakianakis, Stefan Rüping, Oswaldo Trelles, Thierry Siestang, Brecht Claerhout, Vassilis Virvilis: A Semantic Grid Services Architecture in Support of Efficient Knowledge Discovery from Multilevel Clinical and Genomic Datasets. HEALTHINF (1) 2008: 279-287
18	EE	Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping: Supporting Parallel R Code in Clinical Trials: A Grid-Based Approach. ISPA 2008: 823-828
17	EE	Zhonglei Wang, Thomas Wild, Stefan Rüping, Bernhard Lippmann: Benchmarking Domain Specific Processors: A Case Study of Evaluating a Smart Card Processor Design. ISVLSI 2008: 16-21
16		Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz: Procurement Fraud Discovery using Similarity Measure Learning. Industrial Conference on Data Mining - Posters and Workshops 2008: 55-64
15	EE	Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz: Procurement Fraud Discovery using Similarity Measure Learning. Tran. CBR 1(1): 37-46 (2008)
2007
14	EE	George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Stelios Sfakianakis, Anastasia Analyti, Vassilis Moustakis, Dimitris Kafetzopoulos, Stefan Rüping, Manolis Tsiknakis: Knowledge Discovery Scientific Workflows in Clinico-Genomics. ICTAI (1) 2007: 91-95
13	EE	Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping, Anthony Assi: GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials. eScience 2007: 228-235
2006
12	EE	Stefan Rüping: Robust Probabilistic Calibration. ECML 2006: 743-750
11	EE	Michael May, George Potamias, Stefan Rüping: Grid-Based Knowledge Discovery in Clinico-Genomic Data. ISBMDA 2006: 219-230
2004
10		Stefan Rüping: A Simple Method For Estimating Conditional Probabilities For SVMs. LWA 2004: 206-210
9	EE	Stefan Rüping: Learning with Local Models. Local Pattern Detection 2004: 153-170
2003
8		Ralf Klinkenberg, Stefan Rüping: Concept Drift and the Importance of Example. Text Mining 2003: 55-78
2002
7	EE	Katharina Morik, Stefan Rüping: A Multistrategy Approach to the Classification of Phases in Business Cycles. ECML 2002: 307-318
6		Stefan Rüping: Support Vector Machines in Relational Databases. GI Jahrestagung 2002: 799-804
5	EE	Stefan Rüping: Support Vector Machines in Relational Databases. SVM 2002: 310-320
2001
4	EE	Stefan Rüping: Incremental Learning with Support Vector Machines. ICDM 2001: 641-642
1998
3	EE	Stefan Rüping, Mario Porrmann, Ulrich Rückert: SOM accelerator system. Neurocomputing 21(1-3): 31-50 (1998)
1997
2		Stefan Rüping, Mario Porrmann, Ulrich Rückert: A High Performance SOFM Hardware-System. IWANN 1997: 772-781
1993
1		Stefan Rüping, Ulrich Rückert, Karl Goser: Hardware Design for Self-Organizing Feature Maps with Binary Input Vectors. IWANN 1993: 488-493

Coauthor Index

1	Anastasia Analyti	[14]
2	Anthony Assi	[13] [21]
3	Brecht Claerhout	[19]
4	Karl Goser	[1]
5	Henrik Grosskreutz	[15] [16] [20]
6	Björn Günter	[15] [16]
7	Dimitris Kafetzopoulos	[14]
8	Alexandros Kanterakis	[14]
9	Ralf Klinkenberg	[8]
10	Lefteris Koumakis	[14]
11	Bernhard Lippmann	[17]
12	Michael May	[11]
13	Katharina Morik	[7]
14	Vassilis Moustakis	[14]
15	Mario Porrmann	[2] [3]
16	George Potamias	[11] [14]
17	Natalja Punko	[15] [16]
18	Ulrich Rückert	[1] [2] [3]
19	Thierry Sengstag	[13] [18] [21]
20	Stelios Sfakianakis	[13] [14] [18] [19] [21]
21	Thierry Siestang	[19]
22	Oswaldo Trelles (Oswaldo Trelles-Salazar)	[19]
23	Manolis Tsiknakis	[14] [19]
24	Vassilis Virvilis	[19]
25	Zhonglei Wang	[17]
26	Dennis Wegener	[13] [18] [21]
27	Thomas Wild	[17]
28	Stefan Wrobel	[20]

Colors in the list of coauthors