Optimized XPath evaluation for Schema-compressed XML data. - Stefan Böttcher; Rita Hartel; Stefan Heindorf (ADC, 2012)

Towards Vandalism Detection in Knowledge Bases: Corpus Construction and Analysis. - Stefan Heindorf; Martin Potthast; Benno Stein 001; Gregor Engels (SIGIR, 2015)

Wikidata Vandalism Corpus 2015 (WDVC-15). - Stefan Heindorf; Martin Potthast; Benno Stein 001; Gregor Engels (Zenodo, 2015)

Vandalism Detection in Wikidata. - Stefan Heindorf; Martin Potthast; Benno Stein 001; Gregor Engels (CIKM, 2016)

Wikidata Vandalism Corpus 2016 (WDVC-16). - Stefan Heindorf; Martin Potthast; Gregor Engels; Benno Stein 001 (Zenodo, 2016)

Semantic Data Mediator: Linking Services to Websites. - Dennis Wolters; Stefan Heindorf; Jonas Kirchhoff; Gregor Engels (ICSOC Workshops, 2017)

Linking Services to Websites by Leveraging Semantic Data. - Dennis Wolters; Stefan Heindorf; Jonas Kirchhoff; Gregor Engels (ICWS, 2017)

WSDM Cup 2017: Vandalism Detection and Triple Scoring. - Stefan Heindorf; Martin Potthast; Hannah Bast; Björn Buchhold; Elmar Haussmann (WSDM, 2017)

Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017. - Stefan Heindorf; Martin Potthast; Gregor Engels; Benno Stein 001 (CoRR, 2017)

Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring. - Martin Potthast; Stefan Heindorf; Hannah Bast (CoRR, 2017)

Debiasing Vandalism Detection Models at Wikidata. - Stefan Heindorf; Yan Scholten; Gregor Engels; Martin Potthast (WWW, 2019)

Vandalism detection in crowdsourced knowledge bases. - Stefan Heindorf (2019)

CauseNet: Towards a Causality Graph Extracted from the Web. - Stefan Heindorf; Yan Scholten; Henning Wachsmuth; Axel-Cyrille Ngonga Ngomo; Martin Potthast (CIKM, 2020)

CauseNet: Towards a Causality Graph Extracted from the Web. - Stefan Heindorf; Yan Scholten; Henning Wachsmuth; Axel-Cyrille Ngonga Ngomo; Martin Potthast (Zenodo, 2020)

Convolutional Hypercomplex Embeddings for Link Prediction. - Caglar Demir; Diego Moussallem; Stefan Heindorf; Axel-Cyrille Ngonga Ngomo (ACML, 2021)

Drift Detection in Text Data with Document Embeddings. - Robert Feldhans; Adrian Wilke; Stefan Heindorf; Mohammad Hossein Shaker; Barbara Hammer; Axel-Cyrille Ngonga Ngomo; Eyke Hüllermeier (IDEAL, 2021)

ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. - Hamada M. Zahera; Stefan Heindorf; Axel-Cyrille Ngonga Ngomo (K-CAP, 2021)

Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. - Tobias Nickchen; Stefan Heindorf; Gregor Engels (WACV, 2021)

Prediction of concept lengths for fast concept learning in description logics. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (CoRR, 2021)

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications. - Pestryakova Svetlana; Stefan Heindorf; Mohamed Ahmed Sherif; Muhammad Saleem 002; Diego Moussallem; Daniel Vollmers; Axel-Cyrille Ngonga Ngomo (Zenodo, 2021)

CausalQA: A Benchmark for Causal Question Answering. - Alexander Bondarenko 001; Magdalena Wolska; Stefan Heindorf; Lukas Blübaum; Axel-Cyrille Ngonga Ngomo; Benno Stein 001; Pavel Braslavski 001; Matthias Hagen; Martin Potthast (COLING, 2022)

Learning Concept Lengths Accelerates Concept Learning in ALC. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC, 2022)

Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings. - Hamada M. Zahera; Stefan Heindorf; Stefan Balke; Jonas Haupt; Martin Voigt; Carolin Walter; Fabian Witter; Axel-Cyrille Ngonga Ngomo (ESWC (Satellite Events), 2022)

AI-Based Assistance System for Manufacturing. - Sahar Deppe; Lukas Brandt; Marc Brünninghaus; Jörg Papenkordt; Stefan Heindorf; Gudrun Tschirner-Vinke (ETFA, 2022)

User Involvement in Training Smart Home Agents: Increasing Perceived Control and Understanding. - Leonie Nora Sieger; Julia Hermann; Astrid Schomäcker; Stefan Heindorf; Christian Meske; Celine-Chiara Hey; Aysegül Dogangün (HAI, 2022)

EvoLearner: Learning Description Logics with Evolutionary Algorithms. - Stefan Heindorf; Lukas Blübaum; Nick Düsterhus; Till Werner; Varun Nandkumar Golani; Caglar Demir; Axel-Cyrille Ngonga Ngomo (WWW, 2022)

Webis Causal Question Answering 2022. - Alexander Bondarenko 001; Magdalena Wolska; Stefan Heindorf; Lukas Blübaum; Axel-Cyrille Ngonga Ngomo; Benno Stein 001; Pavel Braslavski 001; Matthias Hagen; Martin Potthast (Zenodo, 2022)

Webis Causal Question Answering 2022. - Alexander Bondarenko 001; Magdalena Wolska; Stefan Heindorf; Lukas Blübaum; Axel-Cyrille Ngonga Ngomo; Benno Stein 001; Pavel Braslavski 001; Matthias Hagen; Martin Potthast (Zenodo, 2022)

Accelerating Concept Learning via Sampling. - Alkid Baci; Stefan Heindorf (CIKM, 2023)

Neural Class Expression Synthesis. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC, 2023)

LitCQD: Multi-hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. - Caglar Demir; Michel Wiebesiek; Renzhong Lu; Axel-Cyrille Ngonga Ngomo; Stefan Heindorf (ECML/PKDD (3), 2023)

Neural Class Expression Synthesis in ALCHIQ(D). - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ECML/PKDD (4), 2023)

Counterfactual Explanations for Concepts in ELH. - Leonie Nora Sieger; Stefan Heindorf; Lukas Blübaum; Axel-Cyrille Ngonga Ngomo (CoRR, 2023)

Class Expression Learning with Multiple Representations. - Axel-Cyrille Ngonga Ngomo; Caglar Demir; N'Dah Jean Kouagou; Stefan Heindorf; Nikolaos Karalis; Alexander Bigerl (Compendium of Neurosymbolic Artificial Intelligence, 2023)

EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs. - Rupesh Sapkota; Dominik Köhler; Stefan Heindorf (CIKM, 2024)

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (IJCAI, 2024)

Causal Question Answering with Reinforcement Learning. - Lukas Blübaum; Stefan Heindorf (WWW, 2024)

Universal Knowledge Graph Embeddings. - N'Dah Jean Kouagou; Caglar Demir; Hamada M. Zahera; Adrian Wilke; Stefan Heindorf; Jiayi Li; Axel-Cyrille Ngonga Ngomo (WWW (Companion Volume), 2024)

AutoCL: AutoML for Concept Learning. - Jiayi Li; Sheetal Satheesh; Stefan Heindorf; Diego Moussallem; René Speck; Axel-Cyrille Ngonga Ngomo (xAI (1), 2024)

Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks. - Dominik Köhler; Stefan Heindorf (CoRR, 2024)

Beyond one-shot explanations: a systematic literature review of dialogue-based xAI approaches. - Dimitry Mindlin; Fabian Beer; Leonie Nora Sieger; Stefan Heindorf; Elena Esposito; Axel-Cyrille Ngonga Ngomo; Philipp Cimiano (Artif. Intell. Rev., 2025)

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks. - Sebastian Groß; Stefan Heindorf; Philipp Terhörst (CoRR, 2025)