Higher-order Concepts in a Tractable Knowledge Representation. - Stefan Wrobel (GWAI, 1987)

Demand-Driven Concept Formation. - Stefan Wrobel (Knowledge Representation and Organization in Machine Learning, 1987)

Automatic Representation Adjustment in an Observational Discovery System. - Stefan Wrobel (EWSL, 1988)

Design Goals for Sloppy Modeling Systems. - Stefan Wrobel (Int. J. Man Mach. Stud., 1988)

Panel: Evaluating and Changing Representation in Concept Acquisition. - Francesco Bergadano; Floriana Esposito; Céline Rouveirol; Stefan Wrobel (EWSL, 1991)

Towards a Model of Grounded Concept Formation. - Stefan Wrobel (IJCAI, 1991)

Die Umweltverankerung von Begriffsbildungsprozessen. - Stefan Wrobel (Künstliche Intell., 1991)

On the Proper Definition of Minimality in Specialization and Theory Revision. - Stefan Wrobel (ECML, 1993)

Concept formation and knowledge revision: a demand driven approach to representation change. - Stefan Wrobel (Kluwer, 1994)

Concept Formation During Interactive Theory Revision. - Stefan Wrobel (Mach. Learn., 1994)

Extensibility in Data Mining Systems. - Stefan Wrobel; Dietrich Wettschereck; Edgar Sommer; Werner Emde (KDD, 1996)

Induktive Logikprogrammierung - Grundlagen und Techniken. - Nada Lavrac; Stefan Wrobel (Künstliche Intell., 1996)

An Algorithm for Multi-relational Discovery of Subgroups. - Stefan Wrobel (PKDD, 1997)

Interactive Configuration in KIKon. - Werner Emde; Jörg Rahmer; Angi Voß; Christian Beilken; Josef Börding; Wolfgang Orth; Ulrike Petersen; Jörg Walter Schaaf; Michael Spenke; Stefan Wrobel (XPS, 1997)

Data Mining - Das aktuelle Schlagwort. - Stefan Wrobel (Künstliche Intell., 1997)

Scalability Issues in Inductive Logic Programming. - Stefan Wrobel (ALT, 1998)

Measuring similarity of RNA structures by relational instance-based learning: A first step toward detecting RNA signal structures in silico. - Uta Bohnebeck; Werner Sälter; Tamás Horváth 001; Stefan Wrobel; Dietmar Blohm (German Conference on Bioinformatics, 1998)

Term Comparisons in First-Order Similarity Measures. - Uta Bohnebeck; Tamás Horváth 001; Stefan Wrobel (ILP, 1998)

Relational Distance-Based Clustering. - Mathias Kirsten; Stefan Wrobel (ILP, 1998)

Einsatz von Data Mining-Techniken zur Analyse ökologischer Standort- und Pflanzendaten. - Mathias Kirsten; Stefan Wrobel; F. Wilhelm Dahmen; Hans-Christoph Dahmen (Künstliche Intell., 1998)

Data Mining und Wissensentdeckung in Datenbanken. - Stefan Wrobel (Künstliche Intell., 1998)

Data Mining Serviceteil. - Stefan Wrobel (Künstliche Intell., 1998)

Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. - Tamás Horváth 001; Zoltán Alexin; Tibor Gyimóthy; Stefan Wrobel (ILP, 1999)

Extending K-Means Clustering to First-Order Representations. - Mathias Kirsten; Stefan Wrobel (ILP, 2000)

A sequential sampling algorithm for a general class of utility criteria. - Tobias Scheffer; Stefan Wrobel (KDD, 2000)

Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity. - Tamás Horváth 001; Stefan Wrobel (Discovery Science, 2001)

Mining the Web with Active Hidden Markov Models. - Tobias Scheffer; Christian Decomain; Stefan Wrobel (ICDM, 2001)

Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. - Tobias Scheffer; Stefan Wrobel (ICML, 2001)

Active Hidden Markov Models for Information Extraction. - Tobias Scheffer; Christian Decomain; Stefan Wrobel (IDA, 2001)

Relational Learning Using Constrained Confidence-Rated Boosting. - Susanne Hoche; Stefan Wrobel (ILP, 2001)

Transformation-Based Learning Using Multirelational Aggregation. - Mark-A. Krogel; Stefan Wrobel (ILP, 2001)

Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. - Stefan Wrobel (PKDD, 2001)

Relational Instance-Based Learning with Lists and Terms. - Tamás Horváth 001; Stefan Wrobel; Uta Bohnebeck (Mach. Learn., 2001)

Feature Selection for Propositionalization. - Mark-A. Krogel; Stefan Wrobel (Discovery Science, 2002)

Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique. - Lourdes Peña Castillo; Stefan Wrobel (ECML, 2002)

Scaling Boosting by Margin-Based Inclusionof Features and Relations. - Susanne Hoche; Stefan Wrobel (ECML, 2002)

On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning. - Lourdes Peña Castillo; Stefan Wrobel (MICAI, 2002)

A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. - Tobias Scheffer; Stefan Wrobel (PKDD, 2002)

Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling. - Tobias Scheffer; Stefan Wrobel (J. Mach. Learn. Res., 2002)

Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. - Tobias Scheffer; Stefan Wrobel; Borislav Popov; Damyan Ognianov; Christian Decomain; Susanne Hoche (Künstliche Intell., 2002)

Maschinelles Lernen und Data Mining. - Stefan Wrobel; Katharina Morik; Thorsten Joachims (Handbuch der Künstlichen Intelligenz, 2003)

On Graph Kernels: Hardness Results and Efficient Alternatives. - Thomas Gärtner 001; Peter A. Flach; Stefan Wrobel (COLT, 2003)

Learning Minesweeper with Multirelational Learning. - Lourdes Peña Castillo; Stefan Wrobel (IJCAI, 2003)

A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. - Susanne Hoche; Stefan Wrobel (ILP, 2003)

Comparative Evaluation of Approaches to Propositionalization. - Mark-A. Krogel; Simon Alan Rawles; Filip Zelezný; Peter A. Flach; Nada Lavrac; Stefan Wrobel (ILP, 2003)

Multirelational data mining 2003: workshop report. - Saso Dzeroski; Luc De Raedt; Stefan Wrobel (SIGKDD Explor., 2003)

A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. - Lourdes Peña Castillo; Stefan Wrobel (ICML, 2004)

Cyclic pattern kernels for predictive graph mining. - Tamás Horváth 001; Thomas Gärtner 001; Stefan Wrobel (KDD, 2004)

Kernels for Predictive Graph Mining. - Stefan Wrobel; Thomas Gärtner 001; Tamás Horváth 001 (GfKl, 2005)

Multi-class Ensemble-Based Active Learning. - Christine Körner; Stefan Wrobel (ECML, 2006)

Efficient co-regularised least squares regression. - Ulf Brefeld; Thomas Gärtner 001; Tobias Scheffer; Stefan Wrobel (ICML, 2006)

Effective rule induction from labeled graphs. - Tamás Horváth 001; Susanne Hoche; Stefan Wrobel (SAC, 2006)

Bias-free hypothesis evaluation in multirelational domains. - Christine Körner; Stefan Wrobel (SAC, 2006)

Intelligenz ist Lernen - 50 Jahre Künstliche Intelligenz und Maschinelles Lernen. - Stefan Wrobel (Künstliche Intell., 2006)

Efficient Closed Pattern Mining in Strongly Accessible Set Systems. - Mario Boley; Tamás Horváth 001; Axel Poigné; Stefan Wrobel (MLG, 2007)

Semidefinite Ranking on Graphs. - Shankar Vembu; Thomas Gärtner 001; Stefan Wrobel (MLG, 2007)

Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). - Mario Boley; Tamás Horváth 001; Axel Poigné; Stefan Wrobel (PKDD, 2007)

Geovisual analytics for spatial decision support: Setting the research agenda. - Gennady L. Andrienko; Natalia V. Andrienko; Piotr Jankowski 001; Daniel A. Keim; Menno-Jan Kraak; Alan M. MacEachren; Stefan Wrobel (Int. J. Geogr. Inf. Sci., 2007)

Visual analytics tools for analysis of movement data. - Gennady L. Andrienko; Natalia V. Andrienko; Stefan Wrobel (SIGKDD Explor., 2007)

Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. - Natalja Punko; Stefan Rüping 001; Stefan Wrobel (LWA, 2008)

Tight Optimistic Estimates for Fast Subgroup Discovery. - Henrik Grosskreutz; Stefan Rüping 001; Stefan Wrobel (ECML/PKDD (1), 2008)

Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds. - Hanna Geppert; Tamás Horváth 001; Thomas Gärtner 001; Stefan Wrobel; Jürgen Bajorath (J. Chem. Inf. Model., 2008)

Visual Analytics Methods for Movement Data. - Gennady L. Andrienko; Natalia V. Andrienko; Ioannis Kopanakis; Arend Ligtenberg; Stefan Wrobel (Mobility, Data Mining and Privacy, 2008)

Metadata Extraction using Text Mining. - Shivani Seth; Stefan Rüping 001; Stefan Wrobel (HealthGrid, 2009)

Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. - Dennis Wegener; Michael Mock; Deyaa Adranale; Stefan Wrobel (ICDM Workshops, 2009)

A Logic-Based Approach to Relation Extraction from Texts. - Tamás Horváth 001; Gerhard Paass; Frank Reichartz; Stefan Wrobel (ILP, 2009)

Context-Based Clustering of Image Search Results. - Hongqi Wang; Olana Missura; Thomas Gärtner 001; Stefan Wrobel (KI, 2009)

New Results on Listing Closed Sets of Strongly Accessible Set Systems. - Mario Boley; Tamás Horváth 001; Axel Poigné; Stefan Wrobel (MLG/SRL@ILP, 2009)

Efficient discovery of interesting patterns based on strong closedness. - Mario Boley; Tamás Horváth 001; Stefan Wrobel (Stat. Anal. Data Min., 2009)

Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications. - Christine Körner; Dirk Hecker; Michael May 001; Stefan Wrobel (AGILE Conf., 2010)

10471 Abstracts Collection - Scalable Visual Analytics. - Daniel A. Keim; Stefan Wrobel (Scalable Visual Analytics, 2010)

10471 Executive Summary - Scalable Visual Analytics. - Daniel A. Keim; Stefan Wrobel (Scalable Visual Analytics, 2010)

eHumanities: Intelligent Analysis and Information System for Humanities and Culture. - Sven Becker; Marion Borowski; Melanie Gnasa; Kai Stalmann; Stefan Wrobel (GI Jahrestagung (2), 2010)

On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. - Sebastian Bothe; Thomas Gärtner 001; Stefan Wrobel (KI, 2010)

Listing closed sets of strongly accessible set systems with applications to data. - Mario Boley; Tamás Horváth 001; Axel Poigné; Stefan Wrobel (LWA, 2010)

Frequent subgraph mining in outerplanar graphs. - Tamás Horváth 001; Jan Ramon; Stefan Wrobel (Data Min. Knowl. Discov., 2010)

Listing closed sets of strongly accessible set systems with applications to data mining. - Mario Boley; Tamás Horváth 001; Axel Poigné; Stefan Wrobel (Theor. Comput. Sci., 2010)

Movement Data Anonymity through Generalization. - Anna Monreale; Gennady L. Andrienko; Natalia V. Andrienko; Fosca Giannotti; Dino Pedreschi; Salvatore Rinzivillo; Stefan Wrobel (Trans. Data Priv., 2010)

Graph Kernels. - Thomas Gärtner 001; Tamás Horváth 001; Stefan Wrobel (Encyclopedia of Machine Learning, 2010)

Learning from Structured Data. - Tamás Horváth 001; Stefan Wrobel (Encyclopedia of Machine Learning, 2010)

Spatial Data Mining in Practice: Principles and Case Studies. - Christine Körner; Dirk Hecker; Maike Krause-Traudes; Michael May 001; Simon Scheider; Daniel Schulz; Hendrik Stange; Stefan Wrobel (Data Mining for Business Applications, 2010)

From movement tracks through events to places: Extracting and characterizing significant places from mobility data. - Gennady L. Andrienko; Natalia V. Andrienko; Christophe Hurter; Salvatore Rinzivillo; Stefan Wrobel (IEEE VAST, 2011)

Introduction to the special issue on mining and learning with graphs. - S. V. N. Vishwanathan; Samuel Kaski; Jennifer Neville; Stefan Wrobel (Mach. Learn., 2011)

A conceptual framework and taxonomy of techniques for analyzing movement. - Gennady L. Andrienko; Natalia V. Andrienko; Peter Bak; Daniel A. Keim; Slava Kisilevich; Stefan Wrobel (J. Vis. Lang. Comput., 2011)

Challenging problems of geospatial visual analytics. - Gennady L. Andrienko; Natalia V. Andrienko; Daniel A. Keim; Alan M. MacEachren; Stefan Wrobel (J. Vis. Lang. Comput., 2011)

Pedestrian Quantity Estimation with Trajectory Patterns. - Thomas Liebig; Zhao Xu 001; Michael May 001; Stefan Wrobel (ECML/PKDD (2), 2012)

Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). - Daniel A. Keim; Fabrice Rossi; Thomas Seidl 001; Michel Verleysen; Stefan Wrobel (Dagstuhl Reports, 2012)

Special Issue on Spatiotemporal Modeling and Analysis. - Christine Körner; Michael May 001; Stefan Wrobel (Künstliche Intell., 2012)

Spatiotemporal Modeling and Analysis - Introduction and Overview. - Christine Körner; Michael May 001; Stefan Wrobel (Künstliche Intell., 2012)

Visual Analytics of Movement. - Gennady L. Andrienko; Natalia V. Andrienko; Peter Bak; Daniel A. Keim; Stefan Wrobel (Springer, 2013)

Maschinelles Lernen und Data Mining. - Stefan Wrobel; Thorsten Joachims; Katharina Morik (Handbuch der Künstlichen Intelligenz, 2013)

One click mining: interactive local pattern discovery through implicit preference and performance learning. - Mario Boley; Michael Mampaey; Bo Kang; Pavel Tokmakov; Stefan Wrobel (IDEA@KDD, 2013)

Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. - Gennady L. Andrienko; Natalia V. Andrienko; Christophe Hurter; Salvatore Rinzivillo; Stefan Wrobel (IEEE Trans. Vis. Comput. Graph., 2013)

Big Data Analytics - Vom Maschinellen Lernen zur DataScience. - Stefan Wrobel (GI-Jahrestagung, 2014)

On the Complexity of Frequent Subtree Mining in Very Simple Structures. - Pascal Welke; Tamás Horváth 001; Stefan Wrobel (ILP, 2014)

Whole-body self-calibration via graph-optimization and automatic configuration selection. - Daniel Maier 001; Stefan Wrobel; Maren Bennewitz (ICRA, 2015)

Probabilistic Frequent Subtree Kernels. - Pascal Welke; Tamás Horváth 001; Stefan Wrobel (NFMCP, 2015)

Big Data, Big Opportunities - Anwendungssituation und Forschungsbedarf des Themas Big Data in Deutschland. - Stefan Wrobel; Hans Voss; Joachim Köhler; Uwe Beyer; Sören Auer (Inform. Spektrum, 2015)

Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. - Pascal Welke; Tamás Horváth 001; Stefan Wrobel (DS, 2016)

Ligand-Based Virtual Screening with Co-regularised Support Vector Regression. - Katrin Ullrich; Michael Kamp; Thomas Gärtner 001; Martin Vogt 001; Stefan Wrobel (ICDM Workshops, 2016)

Ising Models for Binary Clustering via Adiabatic Quantum Computing. - Christian Bauckhage; Eduardo Brito; Kostadin Cvejoski; César Ojeda; Rafet Sifa; Stefan Wrobel (EMMCVPR, 2017)

Using Echo State Networks for Cryptography. - Rajkumar Ramamurthy; Christian Bauckhage; Krisztián Búza; Stefan Wrobel (ICANN (2), 2017)

Co-Regularised Support Vector Regression. - Katrin Ullrich; Michael Kamp; Thomas Gärtner 001; Martin Vogt 001; Stefan Wrobel (ECML/PKDD (2), 2017)

Graph Kernels. - Thomas Gärtner 001; Tamás Horváth 001; Stefan Wrobel (Encyclopedia of Machine Learning and Data Mining, 2017)

Learning from Structured Data. - Tamás Horváth 001; Stefan Wrobel (Encyclopedia of Machine Learning and Data Mining, 2017)

Policy Learning Using SPSA. - Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa; Stefan Wrobel (ICANN (3), 2018)

Informed Machine Learning Through Functional Composition. - Christian Bauckhage; César Ojeda; Jannis Schücker; Rafet Sifa; Stefan Wrobel (LWDA, 2018)

Adiabatic Quantum Computing for Kernel k=2 Means Clustering. - Christian Bauckhage; César Ojeda; Rafet Sifa; Stefan Wrobel (LWDA, 2018)

Efficient Decentralized Deep Learning by Dynamic Model Averaging. - Michael Kamp; Linara Adilova; Joachim Sicking; Fabian Hüger; Peter Schlicht; Tim Wirtz; Stefan Wrobel (ECML/PKDD (1), 2018)

Mining Tree Patterns with Partially Injective Homomorphisms. - Till Hendrik Schulz; Tamás Horváth 001; Pascal Welke; Stefan Wrobel (ECML/PKDD (2), 2018)

Probabilistic frequent subtrees for efficient graph classification and retrieval. - Pascal Welke; Tamás Horváth 001; Stefan Wrobel (Mach. Learn., 2018)

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. - Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa; Jannis Schücker; Stefan Wrobel (ICANN (2), 2019)

Artificial Intelligence Meets IS Researchers: Can it Replace Us? - Claudia Loebbecke; Omar El Sawy; Atreyi Kankanhalli; M. Lynne Markus; Dov Te'eni; Stefan Wrobel (ICIS, 2019)

A QUBO Formulation of the k-Medoids Problem. - Christian Bauckhage; Nico Piatkowski; Rafet Sifa; Dirk Hecker; Stefan Wrobel (LWDA, 2019)

Max-Sum Dispersion via Quantum Annealing. - Christian Bauckhage; Rafet Sifa; Dirk Hecker; Stefan Wrobel (LWDA, 2019)

Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing. - Annika Pick; Tamás Horváth 001; Stefan Wrobel (LWDA, 2019)

Probabilistic and exact frequent subtree mining in graphs beyond forests. - Pascal Welke; Tamás Horváth 001; Stefan Wrobel (Mach. Learn., 2019)

Decision Snippet Features. - Pascal Welke; Fouad Alkhoury; Christian Bauckhage; Stefan Wrobel (ICPR, 2020)

HOPS: Probabilistic Subtree Mining for Small and Large Graphs. - Pascal Welke; Florian Seiffarth; Michael Kamp; Stefan Wrobel (KDD, 2020)

Maximum Margin Separations in Finite Closure Systems. - Florian Seiffarth; Tamás Horváth 001; Stefan Wrobel (ECML/PKDD (1), 2020)

Adiabatic Quantum Computing for Max-Sum Diversification. - Christian Bauckhage; Rafet Sifa; Stefan Wrobel (SDM, 2020)

Learning Syllogism with Euler Neural-Networks. - Tiansi Dong; Chengjiang Li; Christian Bauckhage; Juanzi Li; Stefan Wrobel; Armin B. Cremers (CoRR, 2020)

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. - Joachim Sicking; Maram Akila; Maximilian Pintz; Tim Wirtz; Asja Fischer; Stefan Wrobel (CoRR, 2020)

Effective approximation of parametrized closure systems over transactional data streams. - Daniel Trabold; Tamás Horváth 001; Stefan Wrobel (Mach. Learn., 2020)

Learning Weakly Convex Sets in Metric Spaces. - Eike Stadtländer; Tamás Horváth 001; Stefan Wrobel (ECML/PKDD (2), 2021)

A Novel Regression Loss for Non-Parametric Uncertainty Optimization. - Joachim Sicking; Maram Akila; Maximilian Pintz; Tim Wirtz; Asja Fischer; Stefan Wrobel (CoRR, 2021)

Constructing Spaces and Times for Tactical Analysis in Football. - Gennady L. Andrienko; Natalia V. Andrienko; Gabriel Anzer; Pascal Bauer; Guido Budziak; Georg Fuchs; Dirk Hecker; Hendrik Weber; Stefan Wrobel (IEEE Trans. Vis. Comput. Graph., 2021)

A theoretical model for pattern discovery in visual analytics. - Natalia V. Andrienko; Gennady L. Andrienko; Silvia Miksch; Heidrun Schumann; Stefan Wrobel (Vis. Informatics, 2021)

Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning. - Dirk Hecker; Angelika Voss; Stefan Wrobel (Designing Data Spaces, 2022)

Graph Filtration Kernels. - Till Hendrik Schulz; Pascal Welke; Stefan Wrobel (AAAI, 2022)

A Fast Heuristic for Computing Geodesic Closures in Large Networks. - Florian Seiffarth; Tamás Horváth 001; Stefan Wrobel (DS, 2022)

A Simple Heuristic for the Graph Tukey Depth Problem with Potential Applications to Graph Mining. - Florian Seiffarth; Tamás Horváth 001; Stefan Wrobel (LWDA, 2022)

The why and how of trustworthy AI. - Anna Schmitz 001; Maram Akila; Dirk Hecker; Maximilian Poretschkin; Stefan Wrobel (Autom., 2022)

Visual Analytics for Human-Centered Machine Learning. - Natalia V. Andrienko; Gennady L. Andrienko; Linara Adilova; Stefan Wrobel; Theresa-Marie Rhyne (IEEE Computer Graphics and Applications, 2022)

Tailored Uncertainty Estimation for Deep Learning Systems. - Joachim Sicking; Maram Akila; Jan David Schneider; Fabian Hüger; Peter Schlicht; Tim Wirtz; Stefan Wrobel (CoRR, 2022)

Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs. - Nathalie Paul; Tim Wirtz; Stefan Wrobel; Alexander Kister (CoRR, 2022)

A Fast Heuristic for Computing Geodesic Cores in Large Networks. - Florian Seiffarth; Tamás Horváth 001; Stefan Wrobel (CoRR, 2022)

Robustness in Fatigue Strength Estimation. - Dorina Weichert; Alexander Kister; Sebastian Houben; Gunar Ernis; Stefan Wrobel (CoRR, 2022)

A generalized Weisfeiler-Lehman graph kernel. - Till Hendrik Schulz; Tamás Horváth 001; Pascal Welke; Stefan Wrobel (Mach. Learn., 2022)

Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. - Maximilian Poretschkin; Anna Schmitz 001; Maram Akila; Linara Adilova; Daniel Becker 010; Armin B. Cremers; Dirk Hecker; Sebastian Houben; Michael Mock; Julia Rosenzweig; Joachim Sicking; Elena Schulz; et al. (CoRR, 2023)

Maximal closed set and half-space separations in finite closure systems. - Florian Seiffarth; Tamás Horváth 001; Stefan Wrobel (Theor. Comput. Sci., 2023)

Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. - Assaf Landschaft; Dario Antweiler; Sina Mackay; Sabine Kugler; Stefan Rüping 001; Stefan Wrobel; Timm Höres; Héctor Allende-Cid (Int. J. Medical Informatics, 2024)

Wasserstein dropout. - Joachim Sicking; Maram Akila; Maximilian Pintz; Tim Wirtz; Stefan Wrobel; Asja Fischer (Mach. Learn., 2024)

Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions. - Sujan Sai Gannamaneni; Rohil Prakash Rao; Michael Mock; Maram Akila; Stefan Wrobel (Trans. Mach. Learn. Res., 2025)

Reinforcement Learning for Efficient Returns Management. - Pascal Linden; Nathalie Paul; Tim Wirtz; Stefan Wrobel (CoRR, 2025)

Improving graph neural networks through feature importance learning. - Fouad Alkhoury; Tamás Horváth 001; Christian Bauckhage; Stefan Wrobel (Mach. Learn., 2025)