Stefan Wrobel

Christine Körner, Michael May, Stefan Wrobel: Special Issue on Spatiotemporal Modeling and Analysis. KI 26(3): 213-214 (2012)

Christine Körner, Michael May, Stefan Wrobel: Spatiotemporal Modeling and Analysis - Introduction and Overview. KI 26(3): 215-221 (2012)

Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel: Pedestrian Quantity Estimation with Trajectory Patterns. ECML/PKDD (2) 2012: 629-643

Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel: Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports 2(2): 58-83 (2012)

S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel: Introduction to the special issue on mining and learning with graphs. Machine Learning 82(2): 91-93 (2011)

Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Slava Kisilevich, Stefan Wrobel: A conceptual framework and taxonomy of techniques for analyzing movement. J. Vis. Lang. Comput. 22(3): 213-232 (2011)

Gennady L. Andrienko, Natalia V. Andrienko, Daniel A. Keim, Alan M. MacEachren, Stefan Wrobel: Challenging problems of geospatial visual analytics. J. Vis. Lang. Comput. 22(4): 251-256 (2011)

Gennady L. Andrienko, Natalia V. Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel: From movement tracks through events to places: Extracting and characterizing significant places from mobility data. IEEE VAST 2011: 161-170

Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent subgraph mining in outerplanar graphs. Data Min. Knowl. Discov. 21(3): 472-508 (2010)

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel: Listing closed sets of strongly accessible set systems with applications to data mining. Theor. Comput. Sci. 411(3): 691-700 (2010)

Anna Monreale, Gennady L. Andrienko, Natalia V. Andrienko, Fosca Giannotti, Dino Pedreschi, Salvatore Rinzivillo, Stefan Wrobel: Movement Data Anonymity through Generalization. Transactions on Data Privacy 3(2): 91-121 (2010)

Sven Becker, Marion Borowski, Melanie Gnasa, Kai Stalmann, Stefan Wrobel: eHumanities: Intelligent Analysis and Information System for Humanities and Culture. GI Jahrestagung (2) 2010: 552-556

Sebastian Bothe, Thomas Gärtner, Stefan Wrobel: On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. KI 2010: 82-90

Thomas Gärtner, Tamás Horváth, Stefan Wrobel: Graph Kernels. Encyclopedia of Machine Learning 2010: 467-469

Tamás Horváth, Stefan Wrobel: Learning from Structured Data. Encyclopedia of Machine Learning 2010: 580-584

Mario Boley, Tamás Horváth, Stefan Wrobel: Efficient discovery of interesting patterns based on strong closedness. Statistical Analysis and Data Mining 2(5-6): 346-360 (2009)

Dennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel: Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. ICDM Workshops 2009: 296-301

Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel: A Logic-Based Approach to Relation Extraction from Texts. ILP 2009: 34-48

Hongqi Wang, Olana Missura, Thomas Gärtner, Stefan Wrobel: Context-Based Clustering of Image Search Results. KI 2009: 153-160

Mario Boley, Tamás Horváth, Stefan Wrobel: Efficient Discovery of Interesting Patterns Based on Strong Closedness. SDM 2009: 1002-1013

Natalja Punko, Stefan Rüping, Stefan Wrobel: Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. LWA 2008: 84-86

Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel: Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) 2008: 440-456

Gennady L. Andrienko, Natalia V. Andrienko, Ioannis Kopanakis, Arend Ligtenberg, Stefan Wrobel: Visual Analytics Methods for Movement Data. Mobility, Data Mining and Privacy 2008: 375-410

Gennady L. Andrienko, Natalia V. Andrienko, Piotr Jankowski, Daniel A. Keim, Menno-Jan Kraak, Alan M. MacEachren, Stefan Wrobel: Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science 21(8): 839-857 (2007)

Gennady L. Andrienko, Natalia V. Andrienko, Stefan Wrobel: Visual analytics tools for analysis of movement data. SIGKDD Explorations 9(2): 38-46 (2007)

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel: Efficient Closed Pattern Mining in Strongly Accessible Set Systems. MLG 2007

Shankar Vembu, Thomas Gärtner, Stefan Wrobel: Semidefinite Ranking on Graphs. MLG 2007

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel: Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). PKDD 2007: 382-389

Christine Körner, Stefan Wrobel: Multi-class Ensemble-Based Active Learning. ECML 2006: 687-694

Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel: Efficient co-regularised least squares regression. ICML 2006: 137-144

Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent subgraph mining in outerplanar graphs. KDD 2006: 197-206

Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent Subgraph Mining in Outerplanar Graphs. LWA 2006: 290-296

Christine Körner, Stefan Wrobel: Bias-Free Hypothesis Evaluation in Multirelational Domains. PAKDD 2006: 668-672

Tamás Horváth, Susanne Hoche, Stefan Wrobel: Effective rule induction from labeled graphs. SAC 2006: 611-616

Christine Körner, Stefan Wrobel: Bias-free hypothesis evaluation in multirelational domains. SAC 2006: 639-640

Stefan Wrobel, Thomas Gärtner, Tamás Horváth: Kernels for Predictive Graph Mining. GfKl 2005: 75-86

Christine Körner, Stefan Wrobel: Bias-free Hypothesis Evaluation in Multirelational Domains. LWA 2005: 172-177

Luc De Raedt, Stefan Wrobel (Eds.): Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005. ACM International Conference Proceeding Series 119, ACM 2005, isbn 1-59593-180-5

Lourdes Peña Castillo, Stefan Wrobel: A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. ICML 2004

Tamás Horváth, Thomas Gärtner, Stefan Wrobel: Cyclic pattern kernels for predictive graph mining. KDD 2004: 158-167

Saso Dzeroski, Luc De Raedt, Stefan Wrobel: Multirelational data mining 2003: workshop report. SIGKDD Explorations 5(2): 200-202 (2003)

Thomas Gärtner, Peter A. Flach, Stefan Wrobel: On Graph Kernels: Hardness Results and Efficient Alternatives. COLT 2003: 129-143

Lourdes Peña Castillo, Stefan Wrobel: Learning Minesweeper with Multirelational Learning. IJCAI 2003: 533-540

Susanne Hoche, Stefan Wrobel: A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. ILP 2003: 180-196

Mark-A. Krogel, Simon Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel: Comparative Evaluation of Approaches to Propositionalization. ILP 2003: 197-214

Tobias Scheffer, Stefan Wrobel: Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling. Journal of Machine Learning Research 3: 833-862 (2002)

Tobias Scheffer, Stefan Wrobel, Borislav Popov, Damyan Ognianov, Christian Decomain, Susanne Hoche: Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. KI 16(2): 17-22 (2002)

Mark-A. Krogel, Stefan Wrobel: Feature Selection for Propositionalization. Discovery Science 2002: 430-434

Susanne Hoche, Stefan Wrobel: Scaling Boosting by Margin-Based Inclusionof Features and Relations. ECML 2002: 148-160

Lourdes Peña Castillo, Stefan Wrobel: Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique. ECML 2002: 357-368

Lourdes Peña Castillo, Stefan Wrobel: On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning. MICAI 2002: 321-330

Tobias Scheffer, Stefan Wrobel: A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. PKDD 2002: 397-409

Tamás Horváth, Stefan Wrobel, Uta Bohnebeck: Relational Instance-Based Learning with Lists and Terms. Machine Learning 43(1/2): 53-80 (2001)

Tamás Horváth, Stefan Wrobel: Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity. Discovery Science 2001: 100-112

Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. ECML 2001: 615

Tobias Scheffer, Christian Decomain, Stefan Wrobel: Mining the Web with Active Hidden Markov Models. ICDM 2001: 645-646

Tobias Scheffer, Stefan Wrobel: Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. ICML 2001: 481-488

Tobias Scheffer, Christian Decomain, Stefan Wrobel: Active Hidden Markov Models for Information Extraction. IDA 2001: 309-318

Susanne Hoche, Stefan Wrobel: Relational Learning Using Constrained Confidence-Rated Boosting. ILP 2001: 51-64

Mark-A. Krogel, Stefan Wrobel: Transformation-Based Learning Using Multirelational Aggregation. ILP 2001: 142-155

Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. PKDD 2001: 507

Mathias Kirsten, Stefan Wrobel: Extending K-Means Clustering to First-Order Representations. ILP 2000: 112-129

Tobias Scheffer, Stefan Wrobel: A sequential sampling algorithm for a general class of utility criteria. KDD 2000: 330-334

Tamás Horváth, Zoltán Alexin, Tibor Gyimóthy, Stefan Wrobel: Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. ILP 1999: 128-139

Stefan Wrobel: Data Mining und Wissensentdeckung in Datenbanken. KI 12(1): 6-10 (1998)

Stefan Wrobel: Data Mining Serviceteil. KI 12(1): 58-59 (1998)

Mathias Kirsten, Stefan Wrobel, F. Wilhelm Dahmen, Hans-Christoph Dahmen: Einsatz von Data Mining-Techniken zur Analyse ökologischer Standort- und Pflanzendaten. KI 12(2): 39-42 (1998)

Stefan Wrobel: Scalability Issues in Inductive Logic Programming. ALT 1998: 11-30

Uta Bohnebeck, Werner Sälter, Tamás Horváth, Stefan Wrobel, Dietmar Blohm: Measuring similarity of RNA structures by relational instance-based learning: A first step toward detecting RNA signal structures in silico. German Conference on Bioinformatics 1998

Uta Bohnebeck, Tamás Horváth, Stefan Wrobel: Term Comparisons in First-Order Similarity Measures. ILP 1998: 65-79

Mathias Kirsten, Stefan Wrobel: Relational Distance-Based Clustering. ILP 1998: 261-270

Stefan Wrobel: Data Mining - Das aktuelle Schlagwort. KI 11(1): 22 (1997)

Stefan Wrobel: An Algorithm for Multi-relational Discovery of Subgroups. PKDD 1997: 78-87

Werner Emde, Jörg Rahmer, Angi Voß, Christian Beilken, Josef Börding, Wolfgang Orth, Ulrike Petersen, Jörg Walter Schaaf, Michael Spenke, Stefan Wrobel: Interactive Configuration in KIKon. XPS 1997: 79-91

Nada Lavrac, Stefan Wrobel: Induktive Logikprogrammierung - Grundlagen und Techniken. KI 10(3): 46-54 (1996)

Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde: Extensibility in Data Mining Systems. KDD 1996: 214-219

Nada Lavrac, Stefan Wrobel (Eds.): Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings. Lecture Notes in Computer Science 912, Springer 1995, isbn 3-540-59286-5

Stefan Wrobel: Concept formation and knowledge revision. Kluwer 1994, isbn 978-0-7923-9500-3, pp. I-XIV, 1-240

Stefan Wrobel: Concept Formation During Interactive Theory Revision. Machine Learning 14(1): 169-191 (1994)

Stefan Wrobel: On the Proper Definition of Minimality in Specialization and Theory Revision. ECML 1993: 65-82

Stefan Wrobel: Die Umweltverankerung von Begriffsbildungsprozessen. KI 5(1): 22-26 (1991)

Francesco Bergadano, Floriana Esposito, Céline Rouveirol, Stefan Wrobel: Panel: Evaluating and Changing Representation in Concept Acquisition. EWSL 1991: 89-100

Stefan Wrobel: Towards a Model of Grounded Concept Formation. IJCAI 1991: 712-719

Stefan Wrobel: Design Goals for Sloppy Modeling Systems. International Journal of Man-Machine Studies 29(4): 461-477 (1988)

Stefan Wrobel: Automatic Representation Adjustment in an Observational Discovery System. EWSL 1988: 253-262

Stefan Wrobel: Higher-order Concepts in a Tractable Knowledge Representation. GWAI 1987: 129-138

Stefan Wrobel: Demand-Driven Concept Formation. Knowledge Representation and Organization in Machine Learning 1987: 289-319