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

Publications of Author

  1. Stefan Kramer, Bernhard Pfahringer
    Efficient Search for Strong Partial Determinations. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:371-374 [Conf]
  2. Bernhard Pfahringer, Stefan Kramer
    Compression-Based Evaluation of Partial Determinations. [Citation Graph (1, 0)][DBLP]
    KDD, 1995, pp:234-239 [Conf]
  3. Stefan Kramer
    Structural Regression Trees. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 1, 1996, pp:812-819 [Conf]
  4. Lothar Richter, Stefan Hechtl, Stefan Kramer
    Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:319-324 [Conf]
  5. Hermann Kaindl, Stefan Kramer, Mario Hailing, Vahan Harput
    Metamodel-Compliance Checking of Requirements in a Semiformal Representation. [Citation Graph (0, 0)][DBLP]
    CAiSE Short Paper Proceedings, 2003, pp:- [Conf]
  6. Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer
    Learning to Use Operational Advice. [Citation Graph (0, 0)][DBLP]
    ECAI, 2000, pp:291-295 [Conf]
  7. Elisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer
    Analyzing microarray data using quantitative association rules. [Citation Graph (0, 0)][DBLP]
    ECCB/JBI, 2005, pp:129- [Conf]
  8. Ulrich Rückert, Stefan Kramer, Luc De Raedt
    Phase Transitions and Stochastic Local Search in k-Term DNF Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:405-417 [Conf]
  9. Hermann Kaindl, Stefan Kramer, Luis Miguel Afonso
    Combining Structure Search and Content Search for the World-Wide Web. [Citation Graph (0, 0)][DBLP]
    Hypertext, 1998, pp:217-224 [Conf]
  10. Hermann Kaindl, Stefan Kramer, Papa Samba Niang Diallo
    Semiautomatic Generation of Glossary Links: A Practical Solution. [Citation Graph (0, 0)][DBLP]
    Hypertext, 1999, pp:3-12 [Conf]
  11. Johannes Fischer, Volker Heun, Stefan Kramer
    Fast Frequent String Mining Using Suffix Arrays. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:609-612 [Conf]
  12. Ulrich Rückert, Lothar Richter, Stefan Kramer
    Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:507-510 [Conf]
  13. Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer
    Transformation-Based Regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:59-66 [Conf]
  14. Eibe Frank, Stefan Kramer
    Ensembles of nested dichotomies for multi-class problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  15. Stefan Kramer, Luc De Raedt
    Feature Construction with Version Spaces for Biochemical Applications. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:258-265 [Conf]
  16. Ulrich Rückert, Stefan Kramer
    Stochastic Local Search in k-Term DNF Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:648-655 [Conf]
  17. Ulrich Rückert, Stefan Kramer
    Towards tight bounds for rule learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  18. Ulrich Rückert, Stefan Kramer
    A statistical approach to rule learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:785-792 [Conf]
  19. Hermann Kaindl, Stefan Kramer, Robert Kacsich
    A Case Study of Decomposing Functional Requirements Using Scenarios. [Citation Graph (0, 0)][DBLP]
    ICRE, 1998, pp:156-163 [Conf]
  20. Christoph Welsch, Alexander Schalk, Stefan Kramer
    Integrating Forward and Reverse Object-Oriented Software Engineering. [Citation Graph (0, 0)][DBLP]
    ICSE, 1997, pp:560-561 [Conf]
  21. Stefan Kramer, Hermann Kaindl, Stefan Schlee
    Can We Benefit from Metrics in KBS Development? [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:662-667 [Conf]
  22. Luc De Raedt, Stefan Kramer
    The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:853-862 [Conf]
  23. Stefan Kramer
    Demand-Driven Construction of Structural Features in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:132-141 [Conf]
  24. Stefan Kramer, Eibe Frank
    Bottom-Up Propositionalization. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  25. Stefan Kramer, Bernhard Pfahringer, Christopher Helma
    Stochastic Propositionalization of Non-determinate Background Knowledge. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:80-94 [Conf]
  26. Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
    Experiments in Predicting Biodegradability. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:80-91 [Conf]
  27. Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve
    Prediction of Ordinal Classes Using Regression Trees. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:426-434 [Conf]
  28. Stefan Kramer, Bernhard Pfahringer, Christoph Helma
    Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. [Citation Graph (0, 0)][DBLP]
    KDD, 1997, pp:223-226 [Conf]
  29. Stefan Kramer, Luc De Raedt, Christoph Helma
    Molecular feature mining in HIV data. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:136-143 [Conf]
  30. Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter
    Inductive Databases in the Relational Model: The Data as the Bridge. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:124-138 [Conf]
  31. Ulrich Rückert, Stefan Kramer
    Generalized Version Space Trees. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:119-129 [Conf]
  32. Vahan Harput, Hermann Kaindl, Stefan Kramer
    Extending Function Point Analysis of Object-Oriented Requirements Specifications. [Citation Graph (0, 0)][DBLP]
    IEEE METRICS, 2005, pp:39- [Conf]
  33. Lin Dong, Eibe Frank, Stefan Kramer
    Ensembles of Balanced Nested Dichotomies for Multi-class Problems. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:84-95 [Conf]
  34. Johannes Fischer, Volker Heun, Stefan Kramer
    Optimal String Mining Under Frequency Constraints. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:139-150 [Conf]
  35. Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt
    Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:192-203 [Conf]
  36. Lothar Richter, Ulrich Rückert, Stefan Kramer
    Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference? [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2006, pp:596-607 [Conf]
  37. Ulrich Rückert, Stefan Kramer
    Frequent free tree discovery in graph data. [Citation Graph (0, 0)][DBLP]
    SAC, 2004, pp:564-570 [Conf]
  38. Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
    Experiments In Predicting Biodegradability. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2004, v:18, n:2, pp:157-181 [Journal]
  39. Stefan Kramer
    Thesis: Relational learning vs. propositionalization. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2000, v:13, n:4, pp:275-276 [Journal]
  40. Steven Ganzert, Josef Guttmann, Kristian Kersting, Ralf Kuhlen, Christian Putensen, Michael Sydow, Stefan Kramer
    Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:26, n:1-2, pp:69-86 [Journal]
  41. Christoph Helma, Stefan Kramer
    A Survey of the Predictive Toxicology Challenge 2000-2001. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:10, pp:1179-1182 [Journal]
  42. Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan
    The Predictive Toxicology Challenge 2000-2001. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:1, pp:107-108 [Journal]
  43. Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma
    Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:10, pp:1183-1193 [Journal]
  44. Fabian Birzele, Stefan Kramer
    A new representation for protein secondary structure prediction based on frequent patterns. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:21, pp:2628-2634 [Journal]
  45. Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve
    Prediction of Ordinal Classes Using Regression Trees. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2001, v:47, n:1-2, pp:1-13 [Journal]
  46. Christoph Helma, Tobias Cramer, Stefan Kramer, Luc De Raedt
    Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:4, pp:1402-1411 [Journal]
  47. Hendrik Blockeel, David Jensen, Stefan Kramer
    Introduction to the special issue on multi-relational data mining and statistical relational learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:62, n:1-2, pp:3-5 [Journal]
  48. Stefan Kramer, Hermann Kaindl
    Coupling and cohesion metrics for knowledge-based systems using frames and rules. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Softw. Eng. Methodol., 2004, v:13, n:3, pp:332-358 [Journal]
  49. Ulrich Rückert, Stefan Kramer
    Optimizing Feature Sets for Structured Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:716-723 [Conf]
  50. Sebastian Fröhler, Stefan Kramer
    Inductive Logic Programming for Gene Regulation Prediction. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:34-36 [Conf]
  51. Ulrich Rückert, Stefan Kramer
    Margin-Based First-Order Rule Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:46-48 [Conf]

  52. Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. [Citation Graph (, )][DBLP]


  53. Data-Efficient Information-Theoretic Test Selection. [Citation Graph (, )][DBLP]


  54. Prediction of Mechanical Lung Parameters Using Gaussian Process Models. [Citation Graph (, )][DBLP]


  55. An inductive database and query language in the relational model. [Citation Graph (, )][DBLP]


  56. Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research. [Citation Graph (, )][DBLP]


  57. Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. [Citation Graph (, )][DBLP]


  58. Finding Relational Associations in HIV Resistance Mutation Data. [Citation Graph (, )][DBLP]


  59. Large-scale graph mining using backbone refinement classes. [Citation Graph (, )][DBLP]


  60. Kernel-Based Inductive Transfer. [Citation Graph (, )][DBLP]


  61. SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. [Citation Graph (, )][DBLP]


  62. Online Structural Graph Clustering Using Frequent Subgraph Mining. [Citation Graph (, )][DBLP]


  63. Latent Structure Pattern Mining. [Citation Graph (, )][DBLP]


  64. Data-driven extraction of relative reasoning rules to limit combinatorial explosion in biodegradation pathway prediction. [Citation Graph (, )][DBLP]


  65. Pitfalls of supervised feature selection. [Citation Graph (, )][DBLP]


  66. Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach. [Citation Graph (, )][DBLP]


  67. Enhancing navigation in biomedical databases by community voting and database-driven text classification. [Citation Graph (, )][DBLP]


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