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Stefan Wrobel
2010 – today
- 2013
[j24]Gennady L. Andrienko, Natalia V. Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel: Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. IEEE Trans. Vis. Comput. Graph. 19(7): 1078-1094 (2013)- 2012
- [j23]Christine Körner, Michael May, Stefan Wrobel: Special Issue on Spatiotemporal Modeling and Analysis. KI 26(3): 213-214 (2012)
- [j22]Christine Körner, Michael May, Stefan Wrobel: Spatiotemporal Modeling and Analysis - Introduction and Overview. KI 26(3): 215-221 (2012)
- [c57]Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel: Pedestrian Quantity Estimation with Trajectory Patterns. ECML/PKDD (2) 2012: 629-643
- [i1]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)
- 2011
- [j21]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)
- [j20]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)
- [j19]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)
- [c56]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
- 2010
- [j18]Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent subgraph mining in outerplanar graphs. Data Min. Knowl. Discov. 21(3): 472-508 (2010)
- [j17]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)
- [j16]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)
- [c55]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
- [c54]Sebastian Bothe, Thomas Gärtner, Stefan Wrobel: On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. KI 2010: 82-90
- [r2]Thomas Gärtner, Tamás Horváth, Stefan Wrobel: Graph Kernels. Encyclopedia of Machine Learning 2010: 467-469
- [r1]Tamás Horváth, Stefan Wrobel: Learning from Structured Data. Encyclopedia of Machine Learning 2010: 580-584
2000 – 2009
- 2009
- [j15]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)
- [c53]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
- [c52]Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel: A Logic-Based Approach to Relation Extraction from Texts. ILP 2009: 34-48
- [c51]Hongqi Wang, Olana Missura, Thomas Gärtner, Stefan Wrobel: Context-Based Clustering of Image Search Results. KI 2009: 153-160
- [c50]Mario Boley, Tamás Horváth, Stefan Wrobel: Efficient Discovery of Interesting Patterns Based on Strong Closedness. SDM 2009: 1002-1013
- 2008
- [c49]Natalja Punko, Stefan Rüping, Stefan Wrobel: Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. LWA 2008: 84-86
- [c48]Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel: Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) 2008: 440-456
- [p1]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
- 2007
- [j14]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)
- [j13]Gennady L. Andrienko, Natalia V. Andrienko, Stefan Wrobel: Visual analytics tools for analysis of movement data. SIGKDD Explorations 9(2): 38-46 (2007)
- [c47]Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel: Efficient Closed Pattern Mining in Strongly Accessible Set Systems. MLG 2007
- [c46]
- [c45]Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel: Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). PKDD 2007: 382-389
- 2006
- [c44]
- [c43]Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel: Efficient co-regularised least squares regression. ICML 2006: 137-144
- [c42]Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent subgraph mining in outerplanar graphs. KDD 2006: 197-206
- [c41]Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent Subgraph Mining in Outerplanar Graphs. LWA 2006: 290-296
- [c40]Christine Körner, Stefan Wrobel: Bias-Free Hypothesis Evaluation in Multirelational Domains. PAKDD 2006: 668-672
- [c39]Tamás Horváth, Susanne Hoche, Stefan Wrobel: Effective rule induction from labeled graphs. SAC 2006: 611-616
- [c38]Christine Körner, Stefan Wrobel: Bias-free hypothesis evaluation in multirelational domains. SAC 2006: 639-640
- 2005
- [c37]
- [c36]Christine Körner, Stefan Wrobel: Bias-free Hypothesis Evaluation in Multirelational Domains. LWA 2005: 172-177
- [e2]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
- 2004
- [c35]Lourdes Peña Castillo, Stefan Wrobel: A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. ICML 2004
- [c34]Tamás Horváth, Thomas Gärtner, Stefan Wrobel: Cyclic pattern kernels for predictive graph mining. KDD 2004: 158-167
- 2003
- [j12]Saso Dzeroski, Luc De Raedt, Stefan Wrobel: Multirelational data mining 2003: workshop report. SIGKDD Explorations 5(2): 200-202 (2003)
- [c33]Thomas Gärtner, Peter A. Flach, Stefan Wrobel: On Graph Kernels: Hardness Results and Efficient Alternatives. COLT 2003: 129-143
- [c32]Lourdes Peña Castillo, Stefan Wrobel: Learning Minesweeper with Multirelational Learning. IJCAI 2003: 533-540
- [c31]Susanne Hoche, Stefan Wrobel: A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. ILP 2003: 180-196
- [c30]Mark-A. Krogel, Simon Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel: Comparative Evaluation of Approaches to Propositionalization. ILP 2003: 197-214
- 2002
- [j11]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)
- [j10]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)
- [c29]Mark-A. Krogel, Stefan Wrobel: Feature Selection for Propositionalization. Discovery Science 2002: 430-434
- [c28]Susanne Hoche, Stefan Wrobel: Scaling Boosting by Margin-Based Inclusionof Features and Relations. ECML 2002: 148-160
- [c27]Lourdes Peña Castillo, Stefan Wrobel: Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique. ECML 2002: 357-368
- [c26]Lourdes Peña Castillo, Stefan Wrobel: On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning. MICAI 2002: 321-330
- [c25]Tobias Scheffer, Stefan Wrobel: A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. PKDD 2002: 397-409
- 2001
- [j9]Tamás Horváth, Stefan Wrobel, Uta Bohnebeck: Relational Instance-Based Learning with Lists and Terms. Machine Learning 43(1/2): 53-80 (2001)
- [c24]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
- [c23]Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. ECML 2001: 615
- [c22]Tobias Scheffer, Christian Decomain, Stefan Wrobel: Mining the Web with Active Hidden Markov Models. ICDM 2001: 645-646
- [c21]Tobias Scheffer, Stefan Wrobel: Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. ICML 2001: 481-488
- [c20]Tobias Scheffer, Christian Decomain, Stefan Wrobel: Active Hidden Markov Models for Information Extraction. IDA 2001: 309-318
- [c19]Susanne Hoche, Stefan Wrobel: Relational Learning Using Constrained Confidence-Rated Boosting. ILP 2001: 51-64
- [c18]Mark-A. Krogel, Stefan Wrobel: Transformation-Based Learning Using Multirelational Aggregation. ILP 2001: 142-155
- [c17]Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. PKDD 2001: 507
- 2000
- [c16]Mathias Kirsten, Stefan Wrobel: Extending K-Means Clustering to First-Order Representations. ILP 2000: 112-129
- [c15]Tobias Scheffer, Stefan Wrobel: A sequential sampling algorithm for a general class of utility criteria. KDD 2000: 330-334
1990 – 1999
- 1999
- [c14]Tamás Horváth, Zoltán Alexin, Tibor Gyimóthy, Stefan Wrobel: Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. ILP 1999: 128-139
- 1998
- [j8]
- [j7]
- [j6]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)
- [c13]
- [c12]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
- [c11]Uta Bohnebeck, Tamás Horváth, Stefan Wrobel: Term Comparisons in First-Order Similarity Measures. ILP 1998: 65-79
- [c10]
- 1997
- [j5]
- [c9]
- [c8]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
- 1996
- [j4]Nada Lavrac, Stefan Wrobel: Induktive Logikprogrammierung - Grundlagen und Techniken. KI 10(3): 46-54 (1996)
- [c7]Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde: Extensibility in Data Mining Systems. KDD 1996: 214-219
- 1995
- [e1]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
- 1994
- [b1]Stefan Wrobel: Concept formation and knowledge revision. Kluwer 1994, ISBN 978-0-7923-9500-3, pp. I-XIV, 1-240
- [j3]Stefan Wrobel: Concept Formation During Interactive Theory Revision. Machine Learning 14(1): 169-191 (1994)
- 1993
- [c6]Stefan Wrobel: On the Proper Definition of Minimality in Specialization and Theory Revision. ECML 1993: 65-82
- 1991
- [j2]
- [c5]Francesco Bergadano, Floriana Esposito, Céline Rouveirol, Stefan Wrobel: Panel: Evaluating and Changing Representation in Concept Acquisition. EWSL 1991: 89-100
- [c4]
1980 – 1989
- 1988
- [j1]Stefan Wrobel: Design Goals for Sloppy Modeling Systems. International Journal of Man-Machine Studies 29(4): 461-477 (1988)
- [c3]Stefan Wrobel: Automatic Representation Adjustment in an Observational Discovery System. EWSL 1988: 253-262
- 1987
- [c2]
- [c1]Stefan Wrobel: Demand-Driven Concept Formation. Knowledge Representation and Organization in Machine Learning 1987: 289-319
Coauthor Index
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last updated on 2013-10-02 10:57 CEST by the dblp team