Stefan Wrobel - RankMe

167 papers A* 15A 2B 18C 1Misc 4Journal 59Unranked 54

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions. CoRR Sujan Sai Gannamaneni, Rohil Prakash Rao, Michael Mock, Maram Akila, Stefan Wrobel
2025	J	`jnl`	Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions. Trans. Mach. Learn. Res. Sujan Sai Gannamaneni, Rohil Prakash Rao, Michael Mock, Maram Akila, Stefan Wrobel
2025	J	`jnl`	Improving graph neural networks through feature importance learning. Mach. Learn. Fouad Alkhoury, Tamás Horváth, Christian Bauckhage, Stefan Wrobel
2025	J	`jnl`	Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification. Trans. Mach. Learn. Res. Fouad Alkhoury, Tamás Horváth, Christian Bauckhage, Stefan Wrobel
2025	J	`jnl`	Reinforcement Learning for Efficient Returns Management. CoRR Pascal Linden, Nathalie Paul, Tim Wirtz, Stefan Wrobel
2025	J	`jnl`	Textual Data Bias Detection and Mitigation - An Extensible Pipeline with Experimental Evaluation. CoRR Rebekka Görge, Sujan Sai Gannamaneni, Tabea Naeven, Hammam Abdelwahab, Héctor Allende-Cid, Armin B. Cremers, Lennard Helmer, Michael Mock, Anna Schmitz, Songkai Xue, Elif Yildirir, Maximilian Poretschkin, Stefan Wrobel
2025	—	`conf`	The Local Convexification Method and Its Application to Learning Weakly Convex Boolean Functions. ECML/PKDD (4) Eike Stadtländer, Tamás Horváth, Stefan Wrobel
2024	J	`jnl`	Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. Int. J. Medical Informatics Assaf Landschaft, Dario Antweiler, Sina Mackay, Sabine Kugler, Stefan Rüping, Stefan Wrobel, Timm Höres, Héctor Allende-Cid
2024	J	`jnl`	Wasserstein dropout. Mach. Learn. Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer
2023	J	`jnl`	Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. CoRR Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel
2023	J	`jnl`	Maximal closed set and half-space separations in finite closure systems. Theor. Comput. Sci. Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2022	B	`conf`	A Fast Heuristic for Computing Geodesic Closures in Large Networks. DS Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2022	J	`jnl`	A Fast Heuristic for Computing Geodesic Cores in Large Networks. CoRR Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2022	—	`conf`	A Simple Heuristic for the Graph Tukey Depth Problem with Potential Applications to Graph Mining. LWDA Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2022	J	`jnl`	A generalized Weisfeiler-Lehman graph kernel. Mach. Learn. Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
2022	—	`ch.`	Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning. Designing Data Spaces Dirk Hecker, Angelika Voss, Stefan Wrobel
2022	—	`book`	Designing Data Spaces: The Ecosystem Approach to Competitive Advantage Designing Data Spaces Boris Otto, Michael ten Hompel, Stefan Wrobel
2022	A*	`conf`	Graph Filtration Kernels. AAAI Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
2022	J	`jnl`	Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs. CoRR Nathalie Paul, Tim Wirtz, Stefan Wrobel, Alexander Kister
2022	J	`jnl`	Robustness in Fatigue Strength Estimation. CoRR Dorina Weichert, Alexander Kister, Sebastian Houben, Gunar Ernis, Stefan Wrobel
2022	J	`jnl`	Tailored Uncertainty Estimation for Deep Learning Systems. CoRR Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
2022	J	`jnl`	The why and how of trustworthy AI. Autom. Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel
2022	J	`jnl`	Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Stefan Wrobel, Theresa-Marie Rhyne
2021	J	`jnl`	A Generalized Weisfeiler-Lehman Graph Kernel. CoRR Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
2021	J	`jnl`	A Novel Regression Loss for Non-Parametric Uncertainty Optimization. CoRR Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
2021	J	`jnl`	A theoretical model for pattern discovery in visual analytics. Vis. Informatics Natalia V. Andrienko, Gennady L. Andrienko, Silvia Miksch, Heidrun Schumann, Stefan Wrobel
2021	J	`jnl`	Constructing Spaces and Times for Tactical Analysis in Football. IEEE Trans. Vis. Comput. Graph. Gennady L. Andrienko, Natalia V. Andrienko, Gabriel Anzer, Pascal Bauer, Guido Budziak, Georg Fuchs, Dirk Hecker, Hendrik Weber, Stefan Wrobel
2021	J	`jnl`	Graph Filtration Kernels. CoRR Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
2021	—	`conf`	Learning Weakly Convex Sets in Metric Spaces. ECML/PKDD (2) Eike Stadtländer, Tamás Horváth, Stefan Wrobel
2021	J	`jnl`	Learning Weakly Convex Sets in Metric Spaces. CoRR Eike Stadtländer, Tamás Horváth, Stefan Wrobel
2020	A	`conf`	Adiabatic Quantum Computing for Max-Sum Diversification. SDM Christian Bauckhage, Rafet Sifa, Stefan Wrobel
2020	B	`conf`	Decision Snippet Features. ICPR Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel
2020	J	`jnl`	Effective approximation of parametrized closure systems over transactional data streams. Mach. Learn. Daniel Trabold, Tamás Horváth, Stefan Wrobel
2020	A*	`conf`	HOPS: Probabilistic Subtree Mining for Small and Large Graphs. KDD Pascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel
2020	J	`jnl`	Learning Syllogism with Euler Neural-Networks. CoRR Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers
2020	J	`jnl`	Maximal Closed Set and Half-Space Separations in Finite Closure Systems. CoRR Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2020	—	`conf`	Maximum Margin Separations in Finite Closure Systems. ECML/PKDD (1) Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2020	J	`jnl`	Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. CoRR Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
2019	—	`conf`	A QUBO Formulation of the k-Medoids Problem. LWDA Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel
2019	C	`conf`	Artificial Intelligence Meets IS Researchers: Can it Replace Us? ICIS Claudia Loebbecke, Omar El Sawy, Atreyi Kankanhalli, M. Lynne Markus, Dov Te'eni, Stefan Wrobel
2019	—	`conf`	Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel
2019	—	`conf`	Max-Sum Dispersion via Quantum Annealing. LWDA Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel
2019	—	`conf`	Maximal Closed Set and Half-Space Separations in Finite Closure Systems. ECML/PKDD (1) Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2019	J	`jnl`	Probabilistic and exact frequent subtree mining in graphs beyond forests. Mach. Learn. Pascal Welke, Tamás Horváth, Stefan Wrobel
2019	—	`conf`	Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing. LWDA Annika Pick, Tamás Horváth, Stefan Wrobel
2018	—	`conf`	Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel
2018	—	`conf`	Efficient Decentralized Deep Learning by Dynamic Model Averaging. ECML/PKDD (1) Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
2018	J	`jnl`	Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
2018	—	`conf`	Informed Machine Learning Through Functional Composition. LWDA Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel
2018	—	`conf`	Mining Tree Patterns with Partially Injective Homomorphisms. ECML/PKDD (2) Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
2018	—	`conf`	Policy Learning Using SPSA. ICANN (3) Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel
2018	J	`jnl`	Probabilistic frequent subtrees for efficient graph classification and retrieval. Mach. Learn. Pascal Welke, Tamás Horváth, Stefan Wrobel
2017	—	`conf`	Co-Regularised Support Vector Regression. ECML/PKDD (2) Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
2017	—	`ch.`	Graph Kernels. Encyclopedia of Machine Learning and Data Mining Thomas Gärtner, Tamás Horváth, Stefan Wrobel
2017	—	`conf`	Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel
2017	—	`ch.`	Learning from Structured Data. Encyclopedia of Machine Learning and Data Mining Tamás Horváth, Stefan Wrobel
2017	—	`conf`	Using Echo State Networks for Cryptography. ICANN (2) Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel
2017	J	`jnl`	Using Echo State Networks for Cryptography. CoRR Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel
2016	—	`conf`	Ligand-Based Virtual Screening with Co-regularised Support Vector Regression. ICDM Workshops Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
2016	B	`conf`	Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. DS Pascal Welke, Tamás Horváth, Stefan Wrobel
2015	J	`jnl`	Big Data, Big Opportunities - Anwendungssituation und Forschungsbedarf des Themas Big Data in Deutschland. Inform. Spektrum Stefan Wrobel, Hans Voss, Joachim Köhler, Uwe Beyer, Sören Auer
2015	—	`conf`	Probabilistic Frequent Subtree Kernels. NFMCP Pascal Welke, Tamás Horváth, Stefan Wrobel
2015	A*	`conf`	Whole-body self-calibration via graph-optimization and automatic configuration selection. ICRA Daniel Maier, Stefan Wrobel, Maren Bennewitz
2014	—	`conf`	Big Data Analytics - Vom Maschinellen Lernen zur DataScience. GI-Jahrestagung Stefan Wrobel
2014	B	`conf`	On the Complexity of Frequent Subtree Mining in Very Simple Structures. ILP Pascal Welke, Tamás Horváth, Stefan Wrobel
2013	—	`ch.`	Maschinelles Lernen und Data Mining. Handbuch der Künstlichen Intelligenz Stefan Wrobel, Thorsten Joachims, Katharina Morik
2013	—	`conf`	One click mining: interactive local pattern discovery through implicit preference and performance learning. IDEA@KDD Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel
2013	J	`jnl`	Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. IEEE Trans. Vis. Comput. Graph. Gennady L. Andrienko, Natalia V. Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel
2013	—	`book`	Visual Analytics of Movement. Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Stefan Wrobel
2012	J	`jnl`	Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel
2012	—	`conf`	Pedestrian Quantity Estimation with Trajectory Patterns. ECML/PKDD (2) Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel
2012	J	`jnl`	Spatiotemporal Modeling and Analysis - Introduction and Overview. Künstliche Intell. Christine Körner, Michael May, Stefan Wrobel
2012	J	`jnl`	Special Issue on Spatiotemporal Modeling and Analysis. Künstliche Intell. Christine Körner, Michael May, Stefan Wrobel
2011	J	`jnl`	A conceptual framework and taxonomy of techniques for analyzing movement. J. Vis. Lang. Comput. Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Slava Kisilevich, Stefan Wrobel
2011	J	`jnl`	Challenging problems of geospatial visual analytics. J. Vis. Lang. Comput. Gennady L. Andrienko, Natalia V. Andrienko, Daniel A. Keim, Alan M. MacEachren, Stefan Wrobel
2011	—	`conf`	From movement tracks through events to places: Extracting and characterizing significant places from mobility data. IEEE VAST Gennady L. Andrienko, Natalia V. Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel
2011	J	`jnl`	Introduction to the special issue on mining and learning with graphs. Mach. Learn. S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel
2010	—	`conf`	10471 Abstracts Collection - Scalable Visual Analytics. Scalable Visual Analytics Daniel A. Keim, Stefan Wrobel
2010	—	`conf`	10471 Executive Summary - Scalable Visual Analytics. Scalable Visual Analytics Daniel A. Keim, Stefan Wrobel
2010	J	`jnl`	Frequent subgraph mining in outerplanar graphs. Data Min. Knowl. Discov. Tamás Horváth, Jan Ramon, Stefan Wrobel
2010	—	`ch.`	Graph Kernels. Encyclopedia of Machine Learning Thomas Gärtner, Tamás Horváth, Stefan Wrobel
2010	—	`ch.`	Learning from Structured Data. Encyclopedia of Machine Learning Tamás Horváth, Stefan Wrobel
2010	J	`jnl`	Listing closed sets of strongly accessible set systems with applications to data mining. Theor. Comput. Sci. Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2010	—	`conf`	Listing closed sets of strongly accessible set systems with applications to data. LWA Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2010	J	`jnl`	Movement Data Anonymity through Generalization. Trans. Data Priv. Anna Monreale, Gennady L. Andrienko, Natalia V. Andrienko, Fosca Giannotti, Dino Pedreschi, Salvatore Rinzivillo, Stefan Wrobel
2010	Misc	`conf`	On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. KI Sebastian Bothe, Thomas Gärtner, Stefan Wrobel
2010	—	`ed.`	Scalable Visual Analytics, 21.11. - 26.11.2010 Scalable Visual Analytics Daniel A. Keim, Stefan Wrobel
2010	—	`ch.`	Spatial Data Mining in Practice: Principles and Case Studies. Data Mining for Business Applications Christine Körner, Dirk Hecker, Maike Krause-Traudes, Michael May, Simon Scheider, Daniel Schulz, Hendrik Stange, Stefan Wrobel
2010	—	`conf`	Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications. AGILE Conf. Christine Körner, Dirk Hecker, Michael May, Stefan Wrobel
2010	—	`conf`	eHumanities: Intelligent Analysis and Information System for Humanities and Culture. GI Jahrestagung (2) Sven Becker, Marion Borowski, Melanie Gnasa, Kai Stalmann, Stefan Wrobel
2009	B	`conf`	A Logic-Based Approach to Relation Extraction from Texts. ILP Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel
2009	Misc	`conf`	Context-Based Clustering of Image Search Results. KI Hongqi Wang, Olana Missura, Thomas Gärtner, Stefan Wrobel
2009	A	`conf`	Efficient Discovery of Interesting Patterns Based on Strong Closedness. SDM Mario Boley, Tamás Horváth, Stefan Wrobel
2009	J	`jnl`	Efficient discovery of interesting patterns based on strong closedness. Stat. Anal. Data Min. Mario Boley, Tamás Horváth, Stefan Wrobel
2009	—	`conf`	Metadata Extraction using Text Mining. HealthGrid Shivani Seth, Stefan Rüping, Stefan Wrobel
2009	—	`conf`	New Results on Listing Closed Sets of Strongly Accessible Set Systems. MLG/SRL@ILP Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2009	—	`conf`	Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. ICDM Workshops Dennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel
2008	—	`conf`	Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. LWA Natalja Punko, Stefan Rüping, Stefan Wrobel
2008	J	`jnl`	Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds. J. Chem. Inf. Model. Hanna Geppert, Tamás Horváth, Thomas Gärtner, Stefan Wrobel, Jürgen Bajorath
2008	—	`conf`	Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel
2008	—	`ch.`	Visual Analytics Methods for Movement Data. Mobility, Data Mining and Privacy Gennady L. Andrienko, Natalia V. Andrienko, Ioannis Kopanakis, Arend Ligtenberg, Stefan Wrobel
2007	—	`conf`	Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). PKDD Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2007	—	`conf`	Efficient Closed Pattern Mining in Strongly Accessible Set Systems. MLG Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2007	J	`jnl`	Geovisual analytics for spatial decision support: Setting the research agenda. Int. J. Geogr. Inf. Sci. Gennady L. Andrienko, Natalia V. Andrienko, Piotr Jankowski, Daniel A. Keim, Menno-Jan Kraak, Alan M. MacEachren, Stefan Wrobel
2007	—	`conf`	Semidefinite Ranking on Graphs. MLG Shankar Vembu, Thomas Gärtner, Stefan Wrobel
2007	J	`jnl`	Visual analytics tools for analysis of movement data. SIGKDD Explor. Gennady L. Andrienko, Natalia V. Andrienko, Stefan Wrobel
2006	B	`conf`	Bias-Free Hypothesis Evaluation in Multirelational Domains. PAKDD Christine Körner, Stefan Wrobel
2006	Misc	`conf`	Bias-free hypothesis evaluation in multirelational domains. SAC Christine Körner, Stefan Wrobel
2006	Misc	`conf`	Effective rule induction from labeled graphs. SAC Tamás Horváth, Susanne Hoche, Stefan Wrobel
2006	A*	`conf`	Efficient co-regularised least squares regression. ICML Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
2006	—	`conf`	Frequent Subgraph Mining in Outerplanar Graphs. LWA Tamás Horváth, Jan Ramon, Stefan Wrobel
2006	A*	`conf`	Frequent subgraph mining in outerplanar graphs. KDD Tamás Horváth, Jan Ramon, Stefan Wrobel
2006	J	`jnl`	Intelligenz ist Lernen - 50 Jahre Künstliche Intelligenz und Maschinelles Lernen. Künstliche Intell. Stefan Wrobel
2006	—	`conf`	Multi-class Ensemble-Based Active Learning. ECML Christine Körner, Stefan Wrobel
2005	—	`conf`	Bias-free Hypothesis Evaluation in Multirelational Domains. LWA Christine Körner, Stefan Wrobel
2005	—	`conf`	Kernels for Predictive Graph Mining. GfKl Stefan Wrobel, Thomas Gärtner, Tamás Horváth
2005	A*	`ed.`	Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005 ICML Luc De Raedt, Stefan Wrobel
2004	A*	`conf`	A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. ICML Lourdes Peña Castillo, Stefan Wrobel
2004	A*	`conf`	Cyclic pattern kernels for predictive graph mining. KDD Tamás Horváth, Thomas Gärtner, Stefan Wrobel
2003	B	`conf`	A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. ILP Susanne Hoche, Stefan Wrobel
2003	B	`conf`	Comparative Evaluation of Approaches to Propositionalization. ILP Mark-A. Krogel, Simon Alan Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel
2003	A*	`conf`	Learning Minesweeper with Multirelational Learning. IJCAI Lourdes Peña Castillo, Stefan Wrobel
2003	—	`ch.`	Maschinelles Lernen und Data Mining. Handbuch der Künstlichen Intelligenz Stefan Wrobel, Katharina Morik, Thorsten Joachims
2003	J	`jnl`	Multirelational data mining 2003: workshop report. SIGKDD Explor. Saso Dzeroski, Luc De Raedt, Stefan Wrobel
2003	A*	`conf`	On Graph Kernels: Hardness Results and Efficient Alternatives. COLT Thomas Gärtner, Peter A. Flach, Stefan Wrobel
2002	—	`conf`	A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. PKDD Tobias Scheffer, Stefan Wrobel
2002	B	`conf`	Feature Selection for Propositionalization. Discovery Science Mark-A. Krogel, Stefan Wrobel
2002	J	`jnl`	Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling. J. Mach. Learn. Res. Tobias Scheffer, Stefan Wrobel
2002	J	`jnl`	Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. Künstliche Intell. Tobias Scheffer, Stefan Wrobel, Borislav Popov, Damyan Ognianov, Christian Decomain, Susanne Hoche
2002	—	`conf`	Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique. ECML Lourdes Peña Castillo, Stefan Wrobel
2002	—	`conf`	On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning. MICAI Lourdes Peña Castillo, Stefan Wrobel
2002	—	`conf`	Scaling Boosting by Margin-Based Inclusionof Features and Relations. ECML Susanne Hoche, Stefan Wrobel
2001	B	`conf`	Active Hidden Markov Models for Information Extraction. IDA Tobias Scheffer, Christian Decomain, Stefan Wrobel
2001	A*	`conf`	Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. ICML Tobias Scheffer, Stefan Wrobel
2001	A*	`conf`	Mining the Web with Active Hidden Markov Models. ICDM Tobias Scheffer, Christian Decomain, Stefan Wrobel
2001	J	`jnl`	Relational Instance-Based Learning with Lists and Terms. Mach. Learn. Tamás Horváth, Stefan Wrobel, Uta Bohnebeck
2001	B	`conf`	Relational Learning Using Constrained Confidence-Rated Boosting. ILP Susanne Hoche, Stefan Wrobel
2001	—	`conf`	Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. ECML Stefan Wrobel
2001	—	`conf`	Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. PKDD Stefan Wrobel
2001	B	`conf`	Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity. Discovery Science Tamás Horváth, Stefan Wrobel
2001	B	`conf`	Transformation-Based Learning Using Multirelational Aggregation. ILP Mark-A. Krogel, Stefan Wrobel
2000	A*	`conf`	A sequential sampling algorithm for a general class of utility criteria. KDD Tobias Scheffer, Stefan Wrobel
2000	B	`conf`	Extending K-Means Clustering to First-Order Representations. ILP Mathias Kirsten, Stefan Wrobel
1999	B	`conf`	Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. ILP Tamás Horváth, Zoltán Alexin, Tibor Gyimóthy, Stefan Wrobel
1998	J	`jnl`	Data Mining Serviceteil. Künstliche Intell. Stefan Wrobel
1998	J	`jnl`	Data Mining und Wissensentdeckung in Datenbanken. Künstliche Intell. Stefan Wrobel
1998	J	`jnl`	Einsatz von Data Mining-Techniken zur Analyse ökologischer Standort- und Pflanzendaten. Künstliche Intell. Mathias Kirsten, Stefan Wrobel, F. Wilhelm Dahmen, Hans-Christoph Dahmen
1998	—	`conf`	Measuring similarity of RNA structures by relational instance-based learning: A first step toward detecting RNA signal structures in silico. German Conference on Bioinformatics Uta Bohnebeck, Werner Sälter, Tamás Horváth, Stefan Wrobel, Dietmar Blohm
1998	B	`conf`	Relational Distance-Based Clustering. ILP Mathias Kirsten, Stefan Wrobel
1998	B	`conf`	Scalability Issues in Inductive Logic Programming. ALT Stefan Wrobel
1998	B	`conf`	Term Comparisons in First-Order Similarity Measures. ILP Uta Bohnebeck, Tamás Horváth, Stefan Wrobel
1997	—	`conf`	An Algorithm for Multi-relational Discovery of Subgroups. PKDD Stefan Wrobel
1997	J	`jnl`	Data Mining - Das aktuelle Schlagwort. Künstliche Intell. Stefan Wrobel
1997	—	`conf`	Interactive Configuration in KIKon. XPS Werner Emde, Jörg Rahmer, Angi Voß, Christian Beilken, Josef Börding, Wolfgang Orth, Ulrike Petersen, Jörg Walter Schaaf, Michael Spenke, Stefan Wrobel
1996	A*	`conf`	Extensibility in Data Mining Systems. KDD Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde
1996	J	`jnl`	Induktive Logikprogrammierung - Grundlagen und Techniken. Künstliche Intell. Nada Lavrac, Stefan Wrobel
1995	—	`ed.`	Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings ECML Nada Lavrac, Stefan Wrobel
1994	J	`jnl`	Concept Formation During Interactive Theory Revision. Mach. Learn. Stefan Wrobel
1994	—	`book`	Concept formation and knowledge revision: a demand driven approach to representation change. Stefan Wrobel
1993	—	`conf`	On the Proper Definition of Minimality in Specialization and Theory Revision. ECML Stefan Wrobel
1991	J	`jnl`	Die Umweltverankerung von Begriffsbildungsprozessen. Künstliche Intell. Stefan Wrobel
1991	—	`conf`	Panel: Evaluating and Changing Representation in Concept Acquisition. EWSL Francesco Bergadano, Floriana Esposito, Céline Rouveirol, Stefan Wrobel
1991	A*	`conf`	Towards a Model of Grounded Concept Formation. IJCAI Stefan Wrobel
1988	—	`conf`	Automatic Representation Adjustment in an Observational Discovery System. EWSL Stefan Wrobel
1988	J	`jnl`	Design Goals for Sloppy Modeling Systems. Int. J. Man Mach. Stud. Stefan Wrobel
1987	—	`conf`	Demand-Driven Concept Formation. Knowledge Representation and Organization in Machine Learning Stefan Wrobel
1987	—	`conf`	Higher-order Concepts in a Tractable Knowledge Representation. GWAI Stefan Wrobel