Stefan Kramer

Bing Citeseer DBLP Google Google Scholar Kosmix Wikipedia Yahoo!
Loading Google Thumbnails...
2011
83A Case Study of Stacked Multi-view Learning in Dementia Research. Rui Li, Andreas Hapfelmeier, Jana Schmidt, Robert Perneczky, Alexander Drzezga, Alexander Kurz, Stefan Kramer. AIME 2011, 60-69. Web SearchBibTeXDownload
82Improving structure alignment-based prediction of SCOP families using Vorolign Kernels. Tobias Hamp, Fabian Birzele, Fabian Buchwald, Stefan Kramer. Bioinformatics (27): 204-210 (2011). Web SearchBibTeXDownload
81The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining. Jana Schmidt, Stefan Kramer. Discovery Science 2011, 277-291. Web SearchBibTeXDownload
80Parallel Structural Graph Clustering. Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer. ECML/PKDD (3) 2011, 256-272. Web SearchBibTeXDownload
79Clustering with Attribute-Level Constraints. Jana Schmidt, Elisabeth Maria Brändle, Stefan Kramer. ICDM 2011, 1206-1211. Web SearchBibTeXDownload
78Efficient mining for structurally diverse subgraph patterns in large molecular databases. Andreas Maunz, Christoph Helma, Stefan Kramer. Machine Learning (83): 193-218 (2011). Web SearchBibTeXDownload
2010
77Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer. AAAI 2010. Web SearchBibTeXDownload
76Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach. Jörg Wicker, Kathrin Fenner, Lynda B. M. Ellis, Lawrence P. Wackett, Stefan Kramer. Bioinformatics (26): 814-821 (2010). Web SearchBibTeXDownload
75Pitfalls of supervised feature selection. Pawel Smialowski, Dmitrij Frishman, Stefan Kramer. Bioinformatics (26): 440-443 (2010). Web SearchBibTeXDownload
74Mining Class-Correlated Patterns for Sequence Labeling. Thomas Hopf, Stefan Kramer. Discovery Science 2010, 311-325. Web SearchBibTeXDownload
73Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships. Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer. Discovery Science 2010, 341-355. Web SearchBibTeXDownload
72Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung. Steven Ganzert, Josef Guttmann, Daniel Steinmann, Stefan Kramer. Discovery Science 2010, 296-310. Web SearchBibTeXDownload
71Integer Linear Programming Models for Constrained Clustering. Marianne Mueller, Stefan Kramer. Discovery Science 2010, 159-173. Web SearchBibTeXDownload
70Latent Structure Pattern Mining. Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer. ECML/PKDD (2) 2010, 353-368. Web SearchBibTeXDownload
69Online Structural Graph Clustering Using Frequent Subgraph Mining. Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer. ECML/PKDD (3) 2010, 213-228. Web SearchBibTeXDownload
68Inductive Database Approach to Graphmining. Stefan Kramer. Encyclopedia of Machine Learning 2010, 522-523. Web SearchBibTeXDownload
67A Study of Hierarchical and Flat Classification of Proteins. Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer. IEEE/ACM Trans. Comput. Biology Bioinform. (7): 563-571 (2010). Web SearchBibTeXDownload
66A Numerical Refinement Operator Based on Multi-Instance Learning. Érick Alphonse, Tobias Girschick, Fabian Buchwald, Stefan Kramer. ILP 2010, 14-21. Web SearchBibTeXDownload
65Interpreting PET scans by structured patient data: a data mining case study in dementia research. Jana Schmidt, Andreas Hapfelmeier, Marianne Mueller, Robert Perneczky, Alexander Kurz, Alexander Drzezga, Stefan Kramer. Knowl. Inf. Syst. (24): 149-170 (2010). Web SearchBibTeXDownload
2009
64Data-Efficient Information-Theoretic Test Selection. Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer. AIME 2009, 410-415. Web SearchBibTeXDownload
63Prediction of Mechanical Lung Parameters Using Gaussian Process Models. Steven Ganzert, Stefan Kramer, Knut Möller, Daniel Steinmann, Josef Guttmann. AIME 2009, 380-384. Web SearchBibTeXDownload
62Enhancing navigation in biomedical databases by community voting and database-driven text classification. Timo Duchrow, Timur Shtatland, Daniel Guettler, Misha Pivovarov, Stefan Kramer, Ralph Weissleder. BMC Bioinformatics (10): 317 (2009). Web SearchBibTeXDownload
61Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer. IDA 2009, 119-130. Web SearchBibTeXDownload
60Finding Relational Associations in HIV Resistance Mutation Data. Lothar Richter, Regina Augustin, Stefan Kramer. ILP 2009, 202-208. Web SearchBibTeXDownload
59Large-scale graph mining using backbone refinement classes. Andreas Maunz, Christoph Helma, Stefan Kramer. KDD 2009, 617-626. Web SearchBibTeXDownload
2008
58Data-driven extraction of relative reasoning rules to limit combinatorial explosion in biodegradation pathway prediction. Kathrin Fenner, Junfeng Gao, Stefan Kramer, Lynda B. M. Ellis, Lawrence P. Wackett. Bioinformatics (24): 2079-2085 (2008). Web SearchBibTeXDownload
57Kernel-Based Inductive Transfer. Ulrich Rückert, Stefan Kramer. ECML/PKDD (2) 2008, 220-233. Web SearchBibTeXDownload
56SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer. ECML/PKDD (2) 2008, 690-694. Web SearchBibTeXDownload
55An inductive database and query language in the relational model. Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer. EDBT 2008, 740-744. Web SearchBibTeXDownload
54Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research. Andreas Hapfelmeier, Jana Schmidt, Marianne Mueller, Stefan Kramer, Robert Perneczky, Alexander Kurz, Alexander Drzezga. ICDM 2008, 213-222. Web SearchBibTeXDownload
53Margin-based first-order rule learning. Ulrich Rückert, Stefan Kramer. Machine Learning (70): 189-206 (2008). Web SearchBibTeXDownload
52Inductive logic programming for gene regulation prediction. Sebastian Fröhler, Stefan Kramer. Machine Learning (70): 225-240 (2008). Web SearchBibTeXDownload
2007
51Optimizing Feature Sets for Structured Data. Ulrich Rückert, Stefan Kramer. ECML 2007, 716-723. Web SearchBibTeXDownload
2006
50Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition. Lothar Richter, Stefan Hechtl, Stefan Kramer. BIBE 2006, 319-324. Web SearchBibTeX
49A new representation for protein secondary structure prediction based on frequent patterns. Fabian Birzele, Stefan Kramer. Bioinformatics (22): 2628-2634 (2006). Web SearchBibTeXDownload
48A statistical approach to rule learning. Ulrich Rückert, Stefan Kramer. ICML 2006, 785-792. Web SearchBibTeXDownload
47Margin-Based First-Order Rule Learning. Ulrich Rückert, Stefan Kramer. ILP 2006, 46-48. Web SearchBibTeXDownload
46Inductive Logic Programming for Gene Regulation Prediction. Sebastian Fröhler, Stefan Kramer. ILP 2006, 34-36. Web SearchBibTeXDownload
45Introduction to the special issue on multi-relational data mining and statistical relational learning. Hendrik Blockeel, David Jensen, Stefan Kramer. Machine Learning (62): 3-5 (2006). Web SearchBibTeXDownload
44Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference?. Lothar Richter, Ulrich Rückert, Stefan Kramer. Pacific Symposium on Biocomputing 2006, 596-607. Web SearchBibTeXDownload
43Optimal String Mining Under Frequency Constraints. Johannes Fischer, Volker Heun, Stefan Kramer. PKDD 2006, 139-150. Web SearchBibTeXDownload
2005
42Analyzing microarray data using quantitative association rules. Elisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer. ECCB/JBI 2005, 129. Web SearchBibTeXDownload
41Fast Frequent String Mining Using Suffix Arrays. Johannes Fischer, Volker Heun, Stefan Kramer. ICDM 2005, 609-612. Web SearchBibTeXDownload
40Extending Function Point Analysis of Object-Oriented Requirements Specifications. Vahan Harput, Hermann Kaindl, Stefan Kramer. IEEE METRICS 2005, 39. Web SearchBibTeXDownload
39Inductive Databases in the Relational Model: The Data as the Bridge. Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter. KDID 2005, 124-138. Web SearchBibTeXDownload
38Ensembles of Balanced Nested Dichotomies for Multi-class Problems. Lin Dong, Eibe Frank, Stefan Kramer. PKDD 2005, 84-95. Web SearchBibTeXDownload
2004
37Coupling and cohesion metrics for knowledge-based systems using frames and rules. Stefan Kramer, Hermann Kaindl. ACM Trans. Softw. Eng. Methodol. (13): 332-358 (2004). Web SearchBibTeXDownload
36Experiments In Predicting Biodegradability. Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer. Applied Artificial Intelligence (18): 157-181 (2004). Web SearchBibTeXDownload
35Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. Ulrich Rückert, Lothar Richter, Stefan Kramer. ICDM 2004, 507-510. Web SearchBibTeXDownload
34Ensembles of nested dichotomies for multi-class problems. Eibe Frank, Stefan Kramer. ICML 2004. Web SearchBibTeXDownload
33Towards tight bounds for rule learning. Ulrich Rückert, Stefan Kramer. ICML 2004. Web SearchBibTeXDownload
32Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds. Christoph Helma, Tobias Cramer, Stefan Kramer, Luc De Raedt. Journal of Chemical Information and Modeling (44): 1402-1411 (2004). Web SearchBibTeXDownload
31Frequent free tree discovery in graph data. Ulrich Rückert, Stefan Kramer. SAC 2004, 564-570. Web SearchBibTeXDownload
2003
30Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma. Bioinformatics (19): 1183-1193 (2003). Web SearchBibTeXDownload
29A Survey of the Predictive Toxicology Challenge 2000-2001. Christoph Helma, Stefan Kramer. Bioinformatics (19): 1179-1182 (2003). Web SearchBibTeXDownload
28Metamodel-Compliance Checking of Requirements in a Semiformal Representation. Hermann Kaindl, Stefan Kramer, Mario Hailing, Vahan Harput. CAiSE Short Paper Proceedings 2003. Web SearchBibTeXDownload
27Stochastic Local Search in k-Term DNF Learning. Ulrich Rückert, Stefan Kramer. ICML 2003, 648-655. Web SearchBibTeX
26Generalized Version Space Trees. Ulrich Rückert, Stefan Kramer. KDID 2003, 119-129. Web SearchBibTeX
25Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt. Pacific Symposium on Biocomputing 2003, 192-203. Web SearchBibTeXDownload
2002
24Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning. Steven Ganzert, Josef Guttmann, Kristian Kersting, Ralf Kuhlen, Christian Putensen, Michael Sydow, Stefan Kramer. Artificial Intelligence in Medicine (26): 69-86 (2002). Web SearchBibTeXDownload
23Phase Transitions and Stochastic Local Search in k-Term DNF Learning. Ulrich Rückert, Stefan Kramer, Luc De Raedt. ECML 2002, 405-417. Web SearchBibTeXDownload
22Transformation-Based Regression. Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer. ICML 2002, 59-66. Web SearchBibTeX
2001
21The Predictive Toxicology Challenge 2000-2001. Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan. Bioinformatics (17): 107-108 (2001). Web SearchBibTeXDownload
20Prediction of Ordinal Classes Using Regression Trees. Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve. Fundam. Inform. (47): 1-13 (2001). Web SearchBibTeXDownload
19Feature Construction with Version Spaces for Biochemical Applications. Stefan Kramer, Luc De Raedt. ICML 2001, 258-265. Web SearchBibTeX
18The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. Luc De Raedt, Stefan Kramer. IJCAI 2001, 853-862. Web SearchBibTeX
17Demand-Driven Construction of Structural Features in ILP. Stefan Kramer. ILP 2001, 132-141. Web SearchBibTeXDownload
16Molecular feature mining in HIV data. Stefan Kramer, Luc De Raedt, Christoph Helma. KDD 2001, 136-143. Web SearchBibTeXDownload
2000
15Thesis: Relational learning vs. propositionalization. Stefan Kramer. AI Commun. (13): 275-276 (2000). Web SearchBibTeXDownload
14Learning to Use Operational Advice. Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer. ECAI 2000, 291-295. Web SearchBibTeX
13Bottom-Up Propositionalization. Stefan Kramer, Eibe Frank. ILP Work-in-progress reports 2000. Web SearchBibTeXDownload
12Prediction of Ordinal Classes Using Regression Trees. Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve. ISMIS 2000, 426-434. Web SearchBibTeXDownload
1999
11Semiautomatic Generation of Glossary Links: A Practical Solution. Hermann Kaindl, Stefan Kramer, Papa Samba Niang Diallo. Hypertext 1999, 3-12. Web SearchBibTeXDownload
10Experiments in Predicting Biodegradability. Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer. ILP 1999, 80-91. Web SearchBibTeXDownload
1998
9Combining Structure Search and Content Search for the World-Wide Web. Hermann Kaindl, Stefan Kramer, Luis Miguel Afonso. Hypertext 1998, 217-224. Web SearchBibTeXDownload
8A Case Study of Decomposing Functional Requirements Using Scenarios. Hermann Kaindl, Stefan Kramer, Robert Kacsich. ICRE 1998, 156-163. Web SearchBibTeXDownload
7Stochastic Propositionalization of Non-determinate Background Knowledge. Stefan Kramer, Bernhard Pfahringer, Christopher Helma. ILP 1998, 80-94. Web SearchBibTeXDownload
1997
6Integrating Forward and Reverse Object-Oriented Software Engineering. Christoph Welsch, Alexander Schalk, Stefan Kramer. ICSE 1997, 560-561. Web SearchBibTeXDownload
5Can We Benefit from Metrics in KBS Development?. Stefan Kramer, Hermann Kaindl, Stefan Schlee. IJCAI (1) 1997, 662-667. Web SearchBibTeX
4Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. Stefan Kramer, Bernhard Pfahringer, Christoph Helma. KDD 1997, 223-226. Web SearchBibTeX
1996
3Structural Regression Trees. Stefan Kramer. AAAI/IAAI, Vol. 1 1996, 812-819. Web SearchBibTeX
2Efficient Search for Strong Partial Determinations. Stefan Kramer, Bernhard Pfahringer. KDD 1996, 371-374. Web SearchBibTeX
1995
1Compression-Based Evaluation of Partial Determinations. Bernhard Pfahringer, Stefan Kramer. KDD 1995, 234-239. Web SearchBibTeX
from DBLP and Google Scholar
Developed by the Database Group at the University of Wisconsin and Yahoo! Research