Stefan Kramer

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

Coauthor Index

1	Luis Miguel Afonso	[9]
2	Érick Alphonse	[71]
3	Volker Aufschild	[39]
4	Regina Augustin	[62]
5	Simon A. Berger	[82]
6	Fabian Birzele	[45] [80]
7	Hendrik Blockeel	[10] [32] [44]
8	Elisabeth Maria Brändle	[81]
9	Björn Bringmann	[23]
10	Fabian Buchwald	[67] [71] [72] [74] [78] [80]
11	Tobias Cramer	[31] [73]
12	Papa Samba Niang Diallo	[11]
13	Lin Dong	[38]
14	Alexander Drzezga	[56] [66] [84]
15	Timo Duchrow	[60]
16	Saso Dzeroski	[10] [32]
17	Lynda B. M. Ellis	[55] [68]
18	Kathrin Fenner	[55] [68]
19	Johannes Fischer	[41] [47]
20	Eibe Frank	[14] [36] [38] [67] [78]
21	Dmitrij Frishman	[69]
22	Sebastian Fröhler	[49] [53]
23	Johannes Fürnkranz	[15]
24	Steven Ganzert	[22] [65] [76]
25	Junfeng Gao	[55]
26	Elisabeth Georgii	[42]
27	Tobias Girschick	[71] [72] [74] [78]
28	Michael de Groeve	[13] [16]
29	Daniel Guettler	[60]
30	Josef Guttmann	[22] [65] [76]
31	Mario Hailing	[30]
32	Tobias Hamp	[80]
33	Andreas Hapfelmeier	[39] [56] [66] [84]
34	Vahan Harput	[30] [40]
35	Stefan Hechtl	[51]
36	Christoph Helma	[4] [7] [17] [18] [25] [26] [31] [61] [73] [79]
37	Volker Heun	[41] [47]
38	Thomas Hopf	[75]
39	Alexander Jarasch	[39]
40	David Jensen	[44]
41	Robert Kacsich	[8]
42	Hermann Kaindl	[5] [8] [9] [11] [15] [30] [33] [40]
43	Kristian Kersting	[22] [27]
44	Kristina Kessler	[39] [57] [58]
45	Ross D. King	[17] [25]
46	Boris Kompare	[10] [32]
47	Sriram Krishnan	[63] [64]
48	Ralf Kuhlen	[22]
49	Alexander Kurz	[56] [66] [84]
50	Wim Van Laer	[10] [32]
51	Rui Li	[84]
52	Andreas Maunz	[61] [73] [79]
53	Knut Möller	[65]
54	Marianne Mueller	[56] [63] [64] [66] [77]
55	Friedrich Neubarth	[23]
56	Robert Perneczky	[56] [66] [84]
57	Bernhard Pfahringer	[1] [2] [4] [7] [10] [13] [15] [16] [32] [43]
58	Hannes Pirker	[23]
59	Misha Pivovarov	[60]
60	Christian Putensen	[22]
61	Luc De Raedt	[18] [20] [21] [24] [27] [31]
62	Tapani Raiko	[27]
63	Bharat Rao	[63] [64]
64	Stefan Reckow	[39]
65	Lothar Richter	[37] [39] [42] [46] [51] [57] [58] [62]
66	Rómer Rosales	[63] [64]
67	Ulrich Rückert	[24] [28] [29] [34] [35] [37] [42] [46] [48] [50] [52] [54] [59] [74]
68	Alexander Schalk	[6]
69	Stefan Schlee	[5]
70	Jana Schmidt	[56] [66] [81] [83] [84]
71	Madeleine Seeland	[72] [82]
72	Timur Shtatland	[60]
73	Pawel Smialowski	[69]
74	Ashwin Srinivasan	[17] [25]
75	Alexandros Stamatakis	[82]
76	Harald Steck	[63] [64]
77	Daniel Steinmann	[65] [76]
78	Michael Sydow	[22]
79	Hannu Toivonen	[25]
80	Lawrence P. Wackett	[55] [68]
81	Ralph Weissleder	[60]
82	Christoph Welsch	[6]
83	Jörg Wicker	[39] [57] [58] [68]
84	Gerhard Widmer	[13] [16] [23]
85	Arthur Zimek	[67]

Colors in the list of coauthors

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