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Stefan Rüping: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stefan Rüping
    Learning with Local Models. [Citation Graph (0, 0)][DBLP]
    Local Pattern Detection, 2004, pp:153-170 [Conf]
  2. Katharina Morik, Stefan Rüping
    A Multistrategy Approach to the Classification of Phases in Business Cycles. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:307-318 [Conf]
  3. Stefan Rüping
    Robust Probabilistic Calibration. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:743-750 [Conf]
  4. Stefan Rüping
    Support Vector Machines in Relational Databases. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 2002, pp:799-804 [Conf]
  5. Stefan Rüping
    Incremental Learning with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:641-642 [Conf]
  6. Michael May, George Potamias, Stefan Rüping
    Grid-Based Knowledge Discovery in Clinico-Genomic Data. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2006, pp:219-230 [Conf]
  7. Stefan Rüping, Mario Porrmann, Ulrich Rückert
    A High Performance SOFM Hardware-System. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:772-781 [Conf]
  8. Stefan Rüping, Ulrich Rückert, Karl Goser
    Hardware Design for Self-Organizing Feature Maps with Binary Input Vectors. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:488-493 [Conf]
  9. Stefan Rüping
    A Simple Method For Estimating Conditional Probabilities For SVMs. [Citation Graph (0, 0)][DBLP]
    LWA, 2004, pp:206-210 [Conf]
  10. Stefan Rüping
    Support Vector Machines in Relational Databases. [Citation Graph (0, 0)][DBLP]
    SVM, 2002, pp:310-320 [Conf]
  11. Stefan Rüping, Mario Porrmann, Ulrich Rückert
    SOM accelerator system. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:21, n:1-3, pp:31-50 [Journal]

  12. On Integrating Data Mining into Business Processes. [Citation Graph (, )][DBLP]


  13. GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials. [Citation Graph (, )][DBLP]


  14. SVM Classifier Estimation from Group Probabilities. [Citation Graph (, )][DBLP]


  15. Knowledge Discovery Scientific Workflows in Clinico-Genomics. [Citation Graph (, )][DBLP]


  16. Building a System for Advancing Clinico-Genomic Trials on Cancer. [Citation Graph (, )][DBLP]


  17. Procurement Fraud Discovery using Similarity Measure Learning. [Citation Graph (, )][DBLP]


  18. Supporting Parallel R Code in Clinical Trials: A Grid-Based Approach. [Citation Graph (, )][DBLP]


  19. Benchmarking Domain Specific Processors: A Case Study of Evaluating a Smart Card Processor Design. [Citation Graph (, )][DBLP]


  20. Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. [Citation Graph (, )][DBLP]


  21. Tight Optimistic Estimates for Fast Subgroup Discovery. [Citation Graph (, )][DBLP]


  22. On Subgroup Discovery in Numerical Domains. [Citation Graph (, )][DBLP]


  23. A Semantic Grid Services Architecture in Support of Efficient Knowledge Discovery from Multilevel Clinical and Genomic Datasets. [Citation Graph (, )][DBLP]


  24. On subgroup discovery in numerical domains. [Citation Graph (, )][DBLP]


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