 | 2009 |
|---|
| 68 |       | Hongqi Wang,
Olana Missura,
Thomas Gärtner,
Stefan Wrobel:
Context-Based Clustering of Image Search Results.
KI 2009: 153-160 |
| 67 | | Mario Boley,
Tamás Horváth,
Stefan Wrobel:
Efficient Discovery of Interesting Patterns Based on Strong Closedness.
SDM 2009: 1002-1013 |
| 2008 |
|---|
| 66 | | Henrik Grosskreutz,
Stefan Rüping,
Stefan Wrobel:
Tight Optimistic Estimates for Fast Subgroup Discovery.
ECML/PKDD (1) 2008: 440-456 |
| 65 |  | Natalja Punko,
Stefan Rüping,
Stefan Wrobel:
Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes.
LWA 2008: 84-86 |
| 64 | | 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 |
|---|
| 63 | | Mario Boley,
Tamás Horváth,
Axel Poigné,
Stefan Wrobel:
Efficient Closed Pattern Mining in Strongly Accessible Set Systems.
MLG 2007 |
| 62 | | Shankar Vembu,
Thomas Gärtner,
Stefan Wrobel:
Semidefinite Ranking on Graphs.
MLG 2007 |
| 61 | | Mario Boley,
Tamás Horváth,
Axel Poigné,
Stefan Wrobel:
Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract).
PKDD 2007: 382-389 |
| 60 | | 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) |
| 59 | | Gennady L. Andrienko,
Natalia V. Andrienko,
Stefan Wrobel:
Visual analytics tools for analysis of movement data.
SIGKDD Explorations 9(2): 38-46 (2007) |
| 2006 |
|---|
| 58 | | Christine Körner,
Stefan Wrobel:
Multi-class Ensemble-Based Active Learning.
ECML 2006: 687-694 |
| 57 | | Ulf Brefeld,
Thomas Gärtner,
Tobias Scheffer,
Stefan Wrobel:
Efficient co-regularised least squares regression.
ICML 2006: 137-144 |
| 56 | | Tamás Horváth,
Jan Ramon,
Stefan Wrobel:
Frequent subgraph mining in outerplanar graphs.
KDD 2006: 197-206 |
| 55 | | Tamás Horváth,
Jan Ramon,
Stefan Wrobel:
Frequent Subgraph Mining in Outerplanar Graphs.
LWA 2006: 290-296 |
| 54 | | Christine Körner,
Stefan Wrobel:
Bias-Free Hypothesis Evaluation in Multirelational Domains.
PAKDD 2006: 668-672 |
| 53 | | Tamás Horváth,
Susanne Hoche,
Stefan Wrobel:
Effective rule induction from labeled graphs.
SAC 2006: 611-616 |
| 52 | | Christine Körner,
Stefan Wrobel:
Bias-free hypothesis evaluation in multirelational domains.
SAC 2006: 639-640 |
| 2005 |
|---|
| 51 | | Luc De Raedt,
Stefan Wrobel:
Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005
ACM 2005 |
| 50 | | Stefan Wrobel,
Thomas Gärtner,
Tamás Horváth:
Kernels for Predictive Graph Mining.
GfKl 2005: 75-86 |
| 49 | | Christine Körner,
Stefan Wrobel:
Bias-free Hypothesis Evaluation in Multirelational Domains.
LWA 2005: 172-177 |
| 2004 |
|---|
| 48 | | Lourdes Peña Castillo,
Stefan Wrobel:
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning.
ICML 2004 |
| 47 | | Tamás Horváth,
Thomas Gärtner,
Stefan Wrobel:
Cyclic pattern kernels for predictive graph mining.
KDD 2004: 158-167 |
| 2003 |
|---|
| 46 | | Thomas Gärtner,
Peter A. Flach,
Stefan Wrobel:
On Graph Kernels: Hardness Results and Efficient Alternatives.
COLT 2003: 129-143 |
| 45 | | Lourdes Peña Castillo,
Stefan Wrobel:
Learning Minesweeper with Multirelational Learning.
IJCAI 2003: 533-540 |
| 44 | | Susanne Hoche,
Stefan Wrobel:
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting.
ILP 2003: 180-196 |
| 43 | | Mark-A. Krogel,
Simon Rawles,
Filip Zelezný,
Peter A. Flach,
Nada Lavrac,
Stefan Wrobel:
Comparative Evaluation of Approaches to Propositionalization.
ILP 2003: 197-214 |
| 42 | | Saso Dzeroski,
Luc De Raedt,
Stefan Wrobel:
Multirelational data mining 2003: workshop report.
SIGKDD Explorations 5(2): 200-202 (2003) |
| 2002 |
|---|
| 41 | | Mark-A. Krogel,
Stefan Wrobel:
Feature Selection for Propositionalization.
Discovery Science 2002: 430-434 |
| 40 | | Susanne Hoche,
Stefan Wrobel:
Scaling Boosting by Margin-Based Inclusionof Features and Relations.
ECML 2002: 148-160 |
| 39 | | Lourdes Peña Castillo,
Stefan Wrobel:
Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique.
ECML 2002: 357-368 |
| 38 | | Lourdes Peña Castillo,
Stefan Wrobel:
On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning.
MICAI 2002: 321-330 |
| 37 | | Tobias Scheffer,
Stefan Wrobel:
A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases.
PKDD 2002: 397-409 |
| 36 | | 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) |
| 35 | | 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) |
| 2001 |
|---|
| 34 | | 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 |
| 33 | | Stefan Wrobel:
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery.
ECML 2001: 615 |
| 32 | | Tobias Scheffer,
Christian Decomain,
Stefan Wrobel:
Mining the Web with Active Hidden Markov Models.
ICDM 2001: 645-646 |
| 31 | | Tobias Scheffer,
Stefan Wrobel:
Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems.
ICML 2001: 481-488 |
| 30 | | Tobias Scheffer,
Christian Decomain,
Stefan Wrobel:
Active Hidden Markov Models for Information Extraction.
IDA 2001: 309-318 |
| 29 | | Mark-A. Krogel,
Stefan Wrobel:
Transformation-Based Learning Using Multirelational Aggregation.
ILP 2001: 142-155 |
| 28 | | Susanne Hoche,
Stefan Wrobel:
Relational Learning Using Constrained Confidence-Rated Boosting.
ILP 2001: 51-64 |
| 27 | | Stefan Wrobel:
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery.
PKDD 2001: 507 |
| 26 | | Tamás Horváth,
Stefan Wrobel,
Uta Bohnebeck:
Relational Instance-Based Learning with Lists and Terms.
Machine Learning 43(1/2): 53-80 (2001) |
| 2000 |
|---|
| 25 | | Mathias Kirsten,
Stefan Wrobel:
Extending K-Means Clustering to First-Order Representations.
ILP 2000: 112-129 |
| 24 | | Tobias Scheffer,
Stefan Wrobel:
A sequential sampling algorithm for a general class of utility criteria.
KDD 2000: 330-334 |
| 1999 |
|---|
| 23 | | Tamás Horváth,
Zoltán Alexin,
Tibor Gyimóthy,
Stefan Wrobel:
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging.
ILP 1999: 128-139 |
| 1998 |
|---|
| 22 | | Stefan Wrobel:
Scalability Issues in Inductive Logic Programming.
ALT 1998: 11-30 |
| 21 | | 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 |
| 20 | | Mathias Kirsten,
Stefan Wrobel:
Relational Distance-Based Clustering.
ILP 1998: 261-270 |
| 19 | | Uta Bohnebeck,
Tamás Horváth,
Stefan Wrobel:
Term Comparisons in First-Order Similarity Measures.
ILP 1998: 65-79 |
| 18 | | Stefan Wrobel:
Data Mining Serviceteil.
KI 12(1): 58-59 (1998) |
| 17 | | Stefan Wrobel:
Data Mining und Wissensentdeckung in Datenbanken.
KI 12(1): 6-10 (1998) |
| 16 | | 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) |
| 1997 |
|---|
| 15 | | Stefan Wrobel:
An Algorithm for Multi-relational Discovery of Subgroups.
PKDD 1997: 78-87 |
| 14 | | 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 |
| 13 | | Stefan Wrobel:
Data Mining - Das aktuelle Schlagwort.
KI 11(1): 22 (1997) |
| 1996 |
|---|
| 12 | | Stefan Wrobel,
Dietrich Wettschereck,
Edgar Sommer,
Werner Emde:
Extensibility in Data Mining Systems.
KDD 1996: 214-219 |
| 11 | | Nada Lavrac,
Stefan Wrobel:
Induktive Logikprogrammierung - Grundlagen und Techniken.
KI 10(3): 46-54 (1996) |
| 1995 |
|---|
| 10 | | Nada Lavrac,
Stefan Wrobel:
Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings
Springer 1995 |
| 1994 |
|---|
| 9 | | Stefan Wrobel:
Concept Formation During Interactive Theory Revision.
Machine Learning 14(1): 169-191 (1994) |
| 1993 |
|---|
| 8 | | Stefan Wrobel:
On the Proper Definition of Minimality in Specialization and Theory Revision.
ECML 1993: 65-82 |
| 1991 |
|---|
| 7 | | Francesco Bergadano,
Floriana Esposito,
Céline Rouveirol,
Stefan Wrobel:
Panel: Evaluating and Changing Representation in Concept Acquisition.
EWSL 1991: 89-100 |
| 6 | | Stefan Wrobel:
Towards a Model of Grounded Concept Formation.
IJCAI 1991: 712-719 |
| 5 | | Stefan Wrobel:
Die Umweltverankerung von Begriffsbildungsprozessen.
KI 5(1): 22-26 (1991) |
| 1988 |
|---|
| 4 | | Stefan Wrobel:
Automatic Representation Adjustment in an Observational Discovery System.
EWSL 1988: 253-262 |
| 3 | | Stefan Wrobel:
Design Goals for Sloppy Modeling Systems.
International Journal of Man-Machine Studies 29(4): 461-477 (1988) |
| 1987 |
|---|
| 2 | | Stefan Wrobel:
Higher-order Concepts in a Tractable Knowledge Representation.
GWAI 1987: 129-138 |
| 1 | | Stefan Wrobel:
Demand-Driven Concept Formation.
Knowledge Representation and Organization in Machine Learning 1987: 289-319 |
