On graph kernels: Hardness results and efficient alternatives T Gärtner, P Flach, S Wrobel Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003 | 1284 | 2003 |
An algorithm for multi-relational discovery of subgroups S Wrobel European symposium on principles of data mining and knowledge discovery, 78-87, 1997 | 825 | 1997 |
Active hidden markov models for information extraction T Scheffer, C Decomain, S Wrobel International symposium on intelligent data analysis, 309-318, 2001 | 758 | 2001 |
Geovisual analytics for spatial decision support: Setting the research agenda G Andrienko, N Andrienko, P Jankowski, D Keim, MJ Kraak, ... International journal of geographical information science 21 (8), 839-857, 2007 | 639 | 2007 |
Visual analytics tools for analysis of movement data G Andrienko, N Andrienko, S Wrobel ACM SIGKDD Explorations Newsletter 9 (2), 38-46, 2007 | 472 | 2007 |
Cyclic pattern kernels for predictive graph mining T Horváth, T Gärtner, S Wrobel Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 456 | 2004 |
Visual analytics of movement G Andrienko, N Andrienko, P Bak, D Keim, S Wrobel Springer Science & Business Media, 2013 | 440 | 2013 |
A review of machine learning for the optimization of production processes D Weichert, P Link, A Stoll, S Rüping, S Ihlenfeldt, S Wrobel The International Journal of Advanced Manufacturing Technology 104 (5), 1889 …, 2019 | 331 | 2019 |
Knowledge acquisition and machine learning K Morik, S Wrobel, JU Kietz, W Emde Academic Press, 1993 | 274 | 1993 |
Efficient co-regularised least squares regression U Brefeld, T Gärtner, T Scheffer, S Wrobel Proceedings of the 23rd international conference on Machine learning, 137-144, 2006 | 239 | 2006 |
Movement data anonymity through generalization. A Monreale, GL Andrienko, NV Andrienko, F Giannotti, D Pedreschi, ... Trans. Data Priv. 3 (2), 91-121, 2010 | 235 | 2010 |
A conceptual framework and taxonomy of techniques for analyzing movement G Andrienko, N Andrienko, P Bak, D Keim, S Kisilevich, S Wrobel Journal of Visual Languages & Computing 22 (3), 213-232, 2011 | 218 | 2011 |
Controlling the complexity of learning in logic through syntactic and task-oriented models JU Kietz, S Wrobel | 212 | 1992 |
Comparative evaluation of approaches to propositionalization MA Krogel, S Rawles, F Železný, PA Flach, N Lavrač, S Wrobel International Conference on Inductive Logic Programming, 197-214, 2003 | 193 | 2003 |
Transformation-based learning using multirelational aggregation MA Krogel, S Wrobel Inductive Logic Programming: 11th International Conference, ILP 2001 …, 2001 | 168 | 2001 |
Inductive logic programming for knowledge discovery in databases S Wrobel Relational data mining, 74-101, 2001 | 167 | 2001 |
Efficient decentralized deep learning by dynamic model averaging M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 161 | 2019 |
From movement tracks through events to places: Extracting and characterizing significant places from mobility data G Andrienko, N Andrienko, C Hurter, S Rinzivillo, S Wrobel 2011 IEEE conference on visual analytics science and technology (VAST), 161-170, 2011 | 160 | 2011 |
Frequent subgraph mining in outerplanar graphs T Horváth, J Ramon, S Wrobel Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 143 | 2006 |
Hierarchical multi-classification H Blockeel, M Bruynooghe, S Dzeroski, J Ramon, J Struyf Proceedings of the ACM SIGKDD 2002 workshop on multi-relational data mining …, 2002 | 142 | 2002 |