Stefan Kramer

Tobias Girschick, Ulrich Rückert, Stefan Kramer: Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets. Comput. J. 56(3): 274-288 (2013)

Jana Schmidt, Asghar Ghorbani, Andreas Hapfelmeier, Stefan Kramer: Learning probabilistic real-time automata from multi-attribute event logs. Intell. Data Anal. 17(1): 93-123 (2013)

Andreas Hapfelmeier, Jana Schmidt, Stefan Kramer: Incremental linear model trees on massive datasets: keep it simple, keep it fast. SAC 2013: 129-135

Madeleine Seeland, Stefan Kramer, Bernhard Pfahringer: Model selection based product kernel learning for regression on graphs. SAC 2013: 136-143

Zejun Zheng, Stefan Kramer, Bertil Schmidt: DySC: software for greedy clustering of 16S rRNA reads. Bioinformatics 28(16): 2182-2183 (2012)

Martin Gütlein, Andreas Karwath, Stefan Kramer: CheS-Mapper - Chemical Space Mapping and Visualization in 3D. J. Cheminformatics 4: 7 (2012)

Rui Li, Stefan Kramer: Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming. Discovery Science 2012: 125-138

Peter Raab, Stefan Kramer, Jürgen Mottok, Stanislav Racek: Reliability of Task Execution During Safe Software Processing. DSD 2012: 84-89

Jana Schmidt, Stefan Kramer: Online Induction of Probabilistic Real Time Automata. ICDM 2012: 625-634

Madeleine Seeland, Andreas Karwath, Stefan Kramer: A structural cluster kernel for learning on graphs. KDD 2012: 516-524

Madeleine Seeland, Fabian Buchwald, Stefan Kramer, Bernhard Pfahringer: Maximum Common Subgraph based locally weighted regression. SAC 2012: 165-172

Jörg Wicker, Bernhard Pfahringer, Stefan Kramer: Multi-label classification using boolean matrix decomposition. SAC 2012: 179-186

Jana Schmidt, Sonja Ansorge, Stefan Kramer: Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering. SDM 2012: 272-283

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)

Fabian Buchwald, Lothar Richter, Stefan Kramer: Predicting a small molecule-kinase interaction map: A machine learning approach. J. Cheminformatics 3: 22 (2011)

Andreas Maunz, Christoph Helma, Stefan Kramer: Efficient mining for structurally diverse subgraph patterns in large molecular databases. Machine Learning 83(2): 193-218 (2011)

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

Jana Schmidt, Stefan Kramer: The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining. Discovery Science 2011: 277-291

Jana Schmidt, Elisabeth Maria Brändle, Stefan Kramer: Clustering with Attribute-Level Constraints. ICDM 2011: 1206-1211

Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer: Parallel Structural Graph Clustering. ECML/PKDD (3) 2011: 256-272

Pawel Smialowski, Dmitrij Frishman, Stefan Kramer: Pitfalls of supervised feature selection. Bioinformatics 26(3): 440-443 (2010)

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)

Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry Druzhilovsky, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher: Collaborative development of predictive toxicology applications. J. Cheminformatics 2: 7 (2010)

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)

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)

Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer: Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. AAAI 2010

Marianne Mueller, Stefan Kramer: Integer Linear Programming Models for Constrained Clustering. Discovery Science 2010: 159-173

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

Thomas Hopf, Stefan Kramer: Mining Class-Correlated Patterns for Sequence Labeling. Discovery Science 2010: 311-325

Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer: Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships. Discovery Science 2010: 341-355

Érick Alphonse, Tobias Girschick, Fabian Buchwald, Stefan Kramer: A Numerical Refinement Operator Based on Multi-Instance Learning. ILP 2010: 14-21

Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer: Online Structural Graph Clustering Using Frequent Subgraph Mining. ECML/PKDD (3) 2010: 213-228

Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer: Latent Structure Pattern Mining. ECML/PKDD (2) 2010: 353-368

Stefan Kramer: Inductive Database Approach to Graphmining. Encyclopedia of Machine Learning 2010: 522-523

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)

Steven Ganzert, Stefan Kramer, Knut Möller, Daniel Steinmann, Josef Guttmann: Prediction of Mechanical Lung Parameters Using Gaussian Process Models. AIME 2009: 380-384

Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer: Data-Efficient Information-Theoretic Test Selection. AIME 2009: 410-415

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

Lothar Richter, Regina Augustin, Stefan Kramer: Finding Relational Associations in HIV Resistance Mutation Data. ILP 2009: 202-208

Andreas Maunz, Christoph Helma, Stefan Kramer: Large-scale graph mining using backbone refinement classes. KDD 2009: 617-626

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)

Ulrich Rückert, Stefan Kramer: Margin-based first-order rule learning. Machine Learning 70(2-3): 189-206 (2008)

Sebastian Fröhler, Stefan Kramer: Inductive logic programming for gene regulation prediction. Machine Learning 70(2-3): 225-240 (2008)

Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer: An inductive database and query language in the relational model. EDBT 2008: 740-744

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

Ulrich Rückert, Stefan Kramer: Kernel-Based Inductive Transfer. ECML/PKDD (2) 2008: 220-233

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

Ulrich Rückert, Stefan Kramer: Optimizing Feature Sets for Structured Data. ECML 2007: 716-723

Fabian Birzele, Stefan Kramer: A new representation for protein secondary structure prediction based on frequent patterns. Bioinformatics 22(21): 2628-2634 (2006)

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)

Lothar Richter, Stefan Hechtl, Stefan Kramer: Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition. BIBE 2006: 319-324

Ulrich Rückert, Stefan Kramer: A statistical approach to rule learning. ICML 2006: 785-792

Sebastian Fröhler, Stefan Kramer: Inductive Logic Programming for Gene Regulation Prediction. ILP 2006: 34-36

Ulrich Rückert, Stefan Kramer: Margin-Based First-Order Rule Learning. ILP 2006: 46-48

Johannes Fischer, Volker Heun, Stefan Kramer: Optimal String Mining Under Frequency Constraints. PKDD 2006: 139-150

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

Elisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer: Analyzing microarray data using quantitative association rules. ECCB/JBI 2005: 129

Johannes Fischer, Volker Heun, Stefan Kramer: Fast Frequent String Mining Using Suffix Arrays. ICDM 2005: 609-612

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

Vahan Harput, Hermann Kaindl, Stefan Kramer: Extending Function Point Analysis of Object-Oriented Requirements Specifications. IEEE METRICS 2005: 39

Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. PKDD 2005: 84-95

Stefan Kramer, Bernhard Pfahringer (Eds.): Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings. Lecture Notes in Computer Science 3625, Springer 2005, isbn 3-540-28177-0

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)

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)

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)

Ulrich Rückert, Lothar Richter, Stefan Kramer: Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. ICDM 2004: 507-510

Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. ICML 2004

Ulrich Rückert, Stefan Kramer: Towards tight bounds for rule learning. ICML 2004

Ulrich Rückert, Stefan Kramer: Frequent free tree discovery in graph data. SAC 2004: 564-570

Christoph Helma, Stefan Kramer: A Survey of the Predictive Toxicology Challenge 2000-2001. Bioinformatics 19(10): 1179-1182 (2003)

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)

Hermann Kaindl, Stefan Kramer, Mario Hailing, Vahan Harput: Metamodel-Compliance Checking of Requirements in a Semiformal Representation. CAiSE Short Paper Proceedings 2003

Ulrich Rückert, Stefan Kramer: Stochastic Local Search in k-Term DNF Learning. ICML 2003: 648-655

Ulrich Rückert, Stefan Kramer: Generalized Version Space Trees. KDID 2003: 119-129

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

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)

Ulrich Rückert, Stefan Kramer, Luc De Raedt: Phase Transitions and Stochastic Local Search in k-Term DNF Learning. ECML 2002: 405-417

Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer: Transformation-Based Regression. ICML 2002: 59-66

Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan: The Predictive Toxicology Challenge 2000-2001. Bioinformatics 17(1): 107-108 (2001)

Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. Fundam. Inform. 47(1-2): 1-13 (2001)

Stefan Kramer, Luc De Raedt: Feature Construction with Version Spaces for Biochemical Applications. ICML 2001: 258-265

Luc De Raedt, Stefan Kramer: The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. IJCAI 2001: 853-862

Stefan Kramer: Demand-Driven Construction of Structural Features in ILP. ILP 2001: 132-141

Stefan Kramer, Luc De Raedt, Christoph Helma: Molecular feature mining in HIV data. KDD 2001: 136-143

Stefan Kramer: Thesis: Relational learning vs. propositionalization. AI Commun. 13(4): 275-276 (2000)

Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer: Learning to Use Operational Advice. ECAI 2000: 291-295

Stefan Kramer, Eibe Frank: Bottom-Up Propositionalization. ILP Work-in-progress reports 2000

Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. ISMIS 2000: 426-434

Hermann Kaindl, Stefan Kramer, Papa Samba Niang Diallo: Semiautomatic Generation of Glossary Links: A Practical Solution. Hypertext 1999: 3-12

Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91

Hermann Kaindl, Stefan Kramer, Luis Miguel Afonso: Combining Structure Search and Content Search for the World-Wide Web. Hypertext 1998: 217-224

Hermann Kaindl, Stefan Kramer, Robert Kacsich: A Case Study of Decomposing Functional Requirements Using Scenarios. ICRE 1998: 156-163

Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Stochastic Propositionalization of Non-determinate Background Knowledge. ILP 1998: 80-94

Christoph Welsch, Alexander Schalk, Stefan Kramer: Integrating Forward and Reverse Object-Oriented Software Engineering. ICSE 1997: 560-561

Stefan Kramer, Hermann Kaindl, Stefan Schlee: Can We Benefit from Metrics in KBS Development? IJCAI (1) 1997: 662-667

Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. KDD 1997: 223-226

Stefan Kramer: Structural Regression Trees. AAAI/IAAI, Vol. 1 1996: 812-819

Stefan Kramer, Bernhard Pfahringer: Efficient Search for Strong Partial Determinations. KDD 1996: 371-374

Bernhard Pfahringer, Stefan Kramer: Compression-Based Evaluation of Partial Determinations. KDD 1995: 234-239