Stefan Wrobel

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 48

Top Venues

CoRR

LWDA

Mach. Learn.

ECML/PKDD (1)

Publications

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer
Wasserstein dropout. Mach. Learn. 113 (5) (2024)
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
Maximal closed set and half-space separations in finite closure systems. Theor. Comput. Sci. 973 (2023)
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
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. CoRR (2023)
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
A Fast Heuristic for Computing Geodesic Cores in Large Networks. CoRR (2022)
Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
Graph Filtration Kernels. AAAI (2022)
Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Tailored Uncertainty Estimation for Deep Learning Systems. CoRR (2022)
Dorina Weichert, Alexander Kister, Sebastian Houben, Gunar Ernis, Stefan Wrobel
Robustness in Fatigue Strength Estimation. CoRR (2022)
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
A generalized Weisfeiler-Lehman graph kernel. Mach. Learn. 111 (7) (2022)
Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel
The why and how of trustworthy AI. Autom. 70 (9) (2022)
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
A Simple Heuristic for the Graph Tukey Depth Problem with Potential Applications to Graph Mining. LWDA (2022)
Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Stefan Wrobel, Theresa-Marie Rhyne
Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications 42 (1) (2022)
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
A Fast Heuristic for Computing Geodesic Closures in Large Networks. DS (2022)
Nathalie Paul, Tim Wirtz, Stefan Wrobel, Alexander Kister
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs. CoRR (2022)
Natalia V. Andrienko, Gennady L. Andrienko, Silvia Miksch, Heidrun Schumann, Stefan Wrobel
A theoretical model for pattern discovery in visual analytics. Vis. Informatics 5 (1) (2021)
Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
Graph Filtration Kernels. CoRR (2021)
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
A Novel Regression Loss for Non-Parametric Uncertainty Optimization. CoRR (2021)
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
A Generalized Weisfeiler-Lehman Graph Kernel. CoRR (2021)
Eike Stadtländer, Tamás Horváth, Stefan Wrobel
Learning Weakly Convex Sets in Metric Spaces. ECML/PKDD (2) (2021)
Eike Stadtländer, Tamás Horváth, Stefan Wrobel
Learning Weakly Convex Sets in Metric Spaces. CoRR (2021)
Gennady L. Andrienko, Natalia V. Andrienko, Gabriel Anzer, Pascal Bauer, Guido Budziak, Georg Fuchs, Dirk Hecker, Hendrik Weber, Stefan Wrobel
Constructing Spaces and Times for Tactical Analysis in Football. IEEE Trans. Vis. Comput. Graph. 27 (4) (2021)
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
Maximal Closed Set and Half-Space Separations in Finite Closure Systems. CoRR (2020)
Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel
Decision Snippet Features. ICPR (2020)
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
Maximum Margin Separations in Finite Closure Systems. ECML/PKDD (1) (2020)
Pascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. KDD (2020)
Daniel Trabold, Tamás Horváth, Stefan Wrobel
Effective approximation of parametrized closure systems over transactional data streams. Mach. Learn. 109 (6) (2020)
Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers
Learning Syllogism with Euler Neural-Networks. CoRR (2020)
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. CoRR (2020)
Christian Bauckhage, Rafet Sifa, Stefan Wrobel
Adiabatic Quantum Computing for Max-Sum Diversification. SDM (2020)
Annika Pick, Tamás Horváth, Stefan Wrobel
Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing. LWDA (2019)
Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel
A QUBO Formulation of the k-Medoids Problem. LWDA (2019)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Probabilistic and exact frequent subtree mining in graphs beyond forests. Mach. Learn. 108 (7) (2019)
Claudia Loebbecke, Omar El Sawy, Atreyi Kankanhalli, M. Lynne Markus, Dov Te'eni, Stefan Wrobel
Artificial Intelligence Meets IS Researchers: Can it Replace Us? ICIS (2019)
Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) (2019)
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
Maximal Closed Set and Half-Space Separations in Finite Closure Systems. ECML/PKDD (1) (2019)
Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel
Max-Sum Dispersion via Quantum Annealing. LWDA (2019)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR (2018)
Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel
Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA (2018)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Probabilistic frequent subtrees for efficient graph classification and retrieval. Mach. Learn. 107 (11) (2018)
Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel
Policy Learning Using SPSA. ICANN (3) (2018)
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel
Mining Tree Patterns with Partially Injective Homomorphisms. ECML/PKDD (2) (2018)
Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel
Informed Machine Learning Through Functional Composition. LWDA (2018)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. ECML/PKDD (1) (2018)
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
Co-Regularised Support Vector Regression. ECML/PKDD (2) (2017)
Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel
Using Echo State Networks for Cryptography. CoRR (2017)
Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel
Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR (2017)
Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel
Using Echo State Networks for Cryptography. ICANN (2) (2017)
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression. ICDM Workshops (2016)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. DS (2016)
Pascal Welke, Tamás Horváth, Stefan Wrobel
Probabilistic Frequent Subtree Kernels. NFMCP (2015)
Daniel Maier, Stefan Wrobel, Maren Bennewitz
Whole-body self-calibration via graph-optimization and automatic configuration selection. ICRA (2015)
Stefan Wrobel, Hans Voss, Joachim Köhler, Uwe Beyer, Sören Auer
Big Data, Big Opportunities - Anwendungssituation und Forschungsbedarf des Themas Big Data in Deutschland. Inform. Spektrum 38 (5) (2015)
Pascal Welke, Tamás Horváth, Stefan Wrobel
On the Complexity of Frequent Subtree Mining in Very Simple Structures. ILP (2014)
Stefan Wrobel
Big Data Analytics - Vom Maschinellen Lernen zur DataScience. GI-Jahrestagung (2014)
Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel
One click mining: interactive local pattern discovery through implicit preference and performance learning. IDEA@KDD (2013)
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) (2013)
Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel
Pedestrian Quantity Estimation with Trajectory Patterns. ECML/PKDD (2) (2012)
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) (2012)
Christine Körner, Michael May, Stefan Wrobel
Special Issue on Spatiotemporal Modeling and Analysis. Künstliche Intell. 26 (3) (2012)
Christine Körner, Michael May, Stefan Wrobel
Spatiotemporal Modeling and Analysis - Introduction and Overview. Künstliche Intell. 26 (3) (2012)
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) (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) (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)
S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel
Introduction to the special issue on mining and learning with graphs. Mach. Learn. 82 (2) (2011)
Daniel A. Keim, Stefan Wrobel
10471 Abstracts Collection - Scalable Visual Analytics. Scalable Visual Analytics (2010)
Christine Körner, Dirk Hecker, Michael May, Stefan Wrobel
Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications. AGILE Conf. (2010)
Sebastian Bothe, Thomas Gärtner, Stefan Wrobel
On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. KI (2010)
Tamás Horváth, Jan Ramon, Stefan Wrobel
Frequent subgraph mining in outerplanar graphs. Data Min. Knowl. Discov. 21 (3) (2010)
Anna Monreale, Gennady L. Andrienko, Natalia V. Andrienko, Fosca Giannotti, Dino Pedreschi, Salvatore Rinzivillo, Stefan Wrobel
Movement Data Anonymity through Generalization. Trans. Data Priv. 3 (2) (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)
Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
Listing closed sets of strongly accessible set systems with applications to data. LWA (2010)
Daniel A. Keim, Stefan Wrobel
10471 Executive Summary - Scalable Visual Analytics. Scalable Visual Analytics (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) (2010)
Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel
A Logic-Based Approach to Relation Extraction from Texts. ILP (2009)
Shivani Seth, Stefan Rüping, Stefan Wrobel
Metadata Extraction using Text Mining. HealthGrid (2009)
Hongqi Wang, Olana Missura, Thomas Gärtner, Stefan Wrobel
Context-Based Clustering of Image Search Results. KI (2009)
Mario Boley, Tamás Horváth, Stefan Wrobel
Efficient Discovery of Interesting Patterns Based on Strong Closedness. SDM (2009)
Mario Boley, Tamás Horváth, Stefan Wrobel
Efficient discovery of interesting patterns based on strong closedness. Stat. Anal. Data Min. 2 (5-6) (2009)
Dennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel
Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. ICDM Workshops (2009)
Hanna Geppert, Tamás Horváth, Thomas Gärtner, Stefan Wrobel, Jürgen Bajorath
Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds. J. Chem. Inf. Model. 48 (4) (2008)
Natalja Punko, Stefan Rüping, Stefan Wrobel
Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. LWA (2008)
Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel
Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) (2008)
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)
Gennady L. Andrienko, Natalia V. Andrienko, Stefan Wrobel
Visual analytics tools for analysis of movement data. SIGKDD Explor. 9 (2) (2007)
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. Int. J. Geogr. Inf. Sci. 21 (8) (2007)
Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). PKDD (2007)
Christine Körner, Stefan Wrobel
Bias-Free Hypothesis Evaluation in Multirelational Domains. PAKDD (2006)
Christine Körner, Stefan Wrobel
Bias-free hypothesis evaluation in multirelational domains. SAC (2006)
Tamás Horváth, Jan Ramon, Stefan Wrobel
Frequent Subgraph Mining in Outerplanar Graphs. LWA (2006)
Christine Körner, Stefan Wrobel
Multi-class Ensemble-Based Active Learning. ECML (2006)
Stefan Wrobel
Intelligenz ist Lernen - 50 Jahre Künstliche Intelligenz und Maschinelles Lernen. Künstliche Intell. 20 (4) (2006)
Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
Efficient co-regularised least squares regression. ICML (2006)
Tamás Horváth, Susanne Hoche, Stefan Wrobel
Effective rule induction from labeled graphs. SAC (2006)
Tamás Horváth, Jan Ramon, Stefan Wrobel
Frequent subgraph mining in outerplanar graphs. KDD (2006)
Christine Körner, Stefan Wrobel
Bias-free Hypothesis Evaluation in Multirelational Domains. LWA (2005)
Stefan Wrobel, Thomas Gärtner, Tamás Horváth
Kernels for Predictive Graph Mining. GfKl (2005)
Tamás Horváth, Thomas Gärtner, Stefan Wrobel
Cyclic pattern kernels for predictive graph mining. KDD (2004)
Lourdes Peña Castillo, Stefan Wrobel
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. ICML (2004)
Mark-A. Krogel, Simon Alan Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel
Comparative Evaluation of Approaches to Propositionalization. ILP (2003)
Thomas Gärtner, Peter A. Flach, Stefan Wrobel
On Graph Kernels: Hardness Results and Efficient Alternatives. COLT (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefan Wrobel