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Stefan Kramer Vis

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*2009
63EESteven Ganzert, Stefan Kramer, Knut Möller, Daniel Steinmann, Josef Guttmann: Prediction of Mechanical Lung Parameters Using Gaussian Process Models. AIME 2009: 380-384
62EEMarianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer: Data-Efficient Information-Theoretic Test Selection. AIME 2009: 410-415
61EEMarianne 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
60EEAndreas Maunz, Christoph Helma, Stefan Kramer: Large-scale graph mining using backbone refinement classes. KDD 2009: 617-626
2008
59EEUlrich Rückert, Stefan Kramer: Kernel-Based Inductive Transfer. ECML/PKDD (2) 2008: 220-233
58EEJörg 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
57EELothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer: An inductive database and query language in the relational model. EDBT 2008: 740-744
56EEAndreas 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
55EEKathrin 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)
54EEUlrich Rückert, Stefan Kramer: Margin-based first-order rule learning. Machine Learning 70(2-3): 189-206 (2008)
53EESebastian Fröhler, Stefan Kramer: Inductive logic programming for gene regulation prediction. Machine Learning 70(2-3): 225-240 (2008)
2007
52EEUlrich 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
50EEUlrich Rückert, Stefan Kramer: A statistical approach to rule learning. ICML 2006: 785-792
49EESebastian Fröhler, Stefan Kramer: Inductive Logic Programming for Gene Regulation Prediction. ILP 2006: 34-36
48EEUlrich Rückert, Stefan Kramer: Margin-Based First-Order Rule Learning. ILP 2006: 46-48
47EEJohannes Fischer, Volker Heun, Stefan Kramer: Optimal String Mining Under Frequency Constraints. PKDD 2006: 139-150
46EELothar 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
45EEFabian Birzele, Stefan Kramer: A new representation for protein secondary structure prediction based on frequent patterns. Bioinformatics 22(21): 2628-2634 (2006)
44EEHendrik 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
42EEElisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer: Analyzing microarray data using quantitative association rules. ECCB/JBI 2005: 129
41EEJohannes Fischer, Volker Heun, Stefan Kramer: Fast Frequent String Mining Using Suffix Arrays. ICDM 2005: 609-612
40EEVahan Harput, Hermann Kaindl, Stefan Kramer: Extending Function Point Analysis of Object-Oriented Requirements Specifications. IEEE METRICS 2005: 39
39EEStefan 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
38EELin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. PKDD 2005: 84-95
2004
37EEUlrich Rückert, Lothar Richter, Stefan Kramer: Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. ICDM 2004: 507-510
36EEEibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. ICML 2004
35EEUlrich Rückert, Stefan Kramer: Towards tight bounds for rule learning. ICML 2004
34EEUlrich Rückert, Stefan Kramer: Frequent free tree discovery in graph data. SAC 2004: 564-570
33EEStefan 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)
32EEHendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments In Predicting Biodegradability. Applied Artificial Intelligence 18(2): 157-181 (2004)
31EEChristoph 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
30EEHermann 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
27EEKristian 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
24EEUlrich 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
19EEStefan Kramer: Demand-Driven Construction of Structural Features in ILP. ILP 2001: 132-141
18EEStefan 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
14EEStefan Kramer, Eibe Frank: Bottom-Up Propositionalization. ILP Work-in-progress reports 2000
13EEStefan 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
11EEHermann Kaindl, Stefan Kramer, Papa Samba Niang Diallo: Semiautomatic Generation of Glossary Links: A Practical Solution. Hypertext 1999: 3-12
10EESaso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91
1998
9EEHermann Kaindl, Stefan Kramer, Luis Miguel Afonso: Combining Structure Search and Content Search for the World-Wide Web. Hypertext 1998: 217-224
8EEHermann Kaindl, Stefan Kramer, Robert Kacsich: A Case Study of Decomposing Functional Requirements Using Scenarios. ICRE 1998: 156-163
7 Stefan Kramer, Bernhard Pfahringer, Christopher Helma: Stochastic Propositionalization of Non-determinate Background Knowledge. ILP 1998: 80-94
1997
6EEChristoph 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

1Luis Miguel Afonso [9]
2Volker Aufschild [39]
3Fabian Birzele [45]
4Hendrik Blockeel [10] [32] [44]
5Björn Bringmann [23]
6Tobias Cramer [31]
7Papa Samba Niang Diallo [11]
8Lin Dong [38]
9Alexander Drzezga [56]
10Saso Dzeroski [10] [32]
11Lynda B. M. Ellis [55]
12Kathrin Fenner [55]
13Johannes Fischer [41] [47]
14Eibe Frank [14] [36] [38]
15Sebastian Fröhler [49] [53]
16Johannes Fürnkranz [15]
17Steven Ganzert [22] [63]
18Junfeng Gao [55]
19Elisabeth Georgii [42]
20Michael de Groeve [13] [16]
21Josef Guttmann [22] [63]
22Mario Hailing [30]
23Andreas Hapfelmeier [39] [56]
24Vahan Harput [30] [40]
25Stefan Hechtl [51]
26Christoph Helma [4] [17] [18] [25] [26] [31] [60]
27Christopher Helma [7]
28Volker Heun [41] [47]
29Alexander Jarasch [39]
30David Jensen [44]
31Robert Kacsich [8]
32Hermann Kaindl [5] [8] [9] [11] [15] [30] [33] [40]
33Kristian Kersting [22] [27]
34Kristina Kessler [39] [57] [58]
35Ross D. King [17] [25]
36Boris Kompare [10] [32]
37Sriram Krishnan [61] [62]
38Ralf Kuhlen [22]
39Alexander Kurz [56]
40Wim Van Laer [10] [32]
41Andreas Maunz [60]
42Knut Möller [63]
43Marianne Mueller [56] [61] [62]
44Friedrich Neubarth [23]
45Robert Perneczky [56]
46Bernhard Pfahringer [1] [2] [4] [7] [10] [13] [15] [16] [32] [43]
47Hannes Pirker [23]
48Christian Putensen [22]
49Luc De Raedt [18] [20] [21] [24] [27] [31]
50Tapani Raiko [27]
51Bharat Rao [61] [62]
52Stefan Reckow [39]
53Lothar Richter [37] [39] [42] [46] [51] [57] [58]
54Rómer Rosales [61] [62]
55Ulrich Rückert [24] [28] [29] [34] [35] [37] [42] [46] [48] [50] [52] [54] [59]
56Alexander Schalk [6]
57Stefan Schlee [5]
58Jana Schmidt [56]
59Ashwin Srinivasan [17] [25]
60Harald Steck [61] [62]
61Daniel Steinmann [63]
62Michael Sydow [22]
63Hannu Toivonen [25]
64Lawrence P. Wackett [55]
65Christoph Welsch [6]
66Jörg Wicker [39] [57] [58]
67Gerhard Widmer [13] [16] [23]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)