Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement Learning.” In The World Wide Web Conference (WWW). ACM, n.d.

KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis.”https://doi.org/10.1007/978-3-031-33455-9_13__In The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita, Ernesto Jimenez-Ruiz, Jamie McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphael Troncy, and Sven Hertling, 13870:209–26. Springer International Publishing, 2023.https://doi.org/10.1007/978-3-031-33455-9_13 .

Sieger, Leonie Nora, Stefan Heindorf, Lukas Blübaum, and Axel-Cyrille Ngonga Ngomo. “Counterfactual Explanations for Concepts in ELH.” ArXiv:2301.05109, 2023.

Baci, Alkid, and Stefan Heindorf. “Accelerating Concept Learning via Sampling.” In CIKM, 2023.

Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis in ALCHIQ(D).”https://doi.org/10.1007/978-3-031-43421-1_12__In Machine Learning and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature Switzerland, 2023.https://doi.org/10.1007/978-3-031-43421-1_12 .

Ngonga Ngomo, Axel-Cyrille, Caglar Demir, N’Dah Jean Kouagou, Stefan Heindorf, Nikoloas Karalis, and Alexander Bigerl. “Class Expression Learning with Multiple Representations.” In Compendium of Neurosymbolic Artificial Intelligence, 272–286. IOS Press, 2023.

Demir, Caglar, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, and Stefan Heindorf. “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals.” ECML PKDD, 2023.

Heindorf, Stefan, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “EvoLearner: Learning Description Logics with Evolutionary Algorithms.” In WWW, 818–28. ACM, 2022.

Sieger, Leonie Nora, Julia Hermann, Astrid Schomäcker, Stefan Heindorf, Christian Meske, Celine-Chiara Hey, and Ayfegül Dofangün. “User Involvement in Training Smart Home Agents.”https://doi.org/10.1145/3527188.3561914__In International Conference on Human-Agent Interaction. ACM, 2022.https://doi.org/10.1145/3527188.3561914 .

Zahera, Hamada Mohamed Abdelsamee, Stefan Heindorf, Stefan Balke, Jonas Haupt, Martin Voigt, Carolin Walter, Fabian Witter, and Axel-Cyrille Ngonga Ngomo. “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.”https://doi.org/10.1007/978-3-031-11609-4_9__In The Semantic Web: ESWC 2022 Satellite Events. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-11609-4_9 .

Bondarenko, Alexander, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, and Martin Potthast. “CausalQA: A Benchmark for Causal Question Answering.” In Proceedings of the 29th International Conference on Computational Linguistics, 3296–3308. Gyeongju, Republic of Korea: International Committee on Computational Linguistics, 2022.

Pestryakova, Svetlana , Daniel Vollmers, Mohamed Sherif, Stefan Heindorf, Muhammad  Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications.” Scientific Data, 2022.

Deppe, Sahar, Lukas Brandt, Marc Brünninghaus, Jörg Papenkordt, Stefan Heindorf, and Gudrun Tschirner-Vinke. “AI-Based Assistance System for Manufacturing.”https://doi.org/10.1109/ETFA52439.2022.9921520__2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022.https://doi.org/10.1109/ETFA52439.2022.9921520 .

KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Learning Concept Lengths Accelerates Concept Learning in ALC.”https://doi.org/10.1007/978-3-031-06981-9_14__In The Semantic Web. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-06981-9_14 .

Zahera, Hamada Mohamed Abdelsamee, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “ASSET: A Semi-Supervised Approach for Entity Typing in Knowledge Graphs.”https://doi.org/10.1145/3460210.3493563__In Proceedings of the 11th on Knowledge Capture Conference. ACM, 2021.https://doi.org/10.1145/3460210.3493563 .

Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.”https://doi.org/10.1007/978-3-030-91608-4_11__In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Cham: Springer International Publishing, 2021.https://doi.org/10.1007/978-3-030-91608-4_11 .

Demir, Caglar, Diego Moussallem, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “Convolutional Hypercomplex Embeddings for Link Prediction.” In The 13th Asian Conference on Machine Learning, ACML 2021, 2021.

Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.”https://doi.org/10.1109/wacv48630.2021.00204__In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021.https://doi.org/10.1109/wacv48630.2021.00204 .

Heindorf, Stefan. “Automatically Generating Instructions from Tutorials for Search and User Navigation,” 2021.

Heindorf, Stefan, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. “CauseNet: Towards a Causality Graph Extracted from the Web.”https://doi.org/10.1145/3340531.3412763__In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–30, 2020.https://doi.org/10.1145/3340531.3412763 .

Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing Vandalism Detection Models at Wikidata.”https://doi.org/10.1145/3308558.3313507__In WWW, 670–80. ACM, 2019.https://doi.org/10.1145/3308558.3313507 .

Heindorf, Stefan. Vandalism Detection in Crowdsourced Knowledge Bases. Universität Paderborn, 2019.

Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract).”https://doi.org/10.18420/inf2019_48__In INFORMATIK, 289–90, 2019.https://doi.org/10.18420/inf2019_48 .

Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Semantic Data Mediator: Linking Services to Websites.”https://doi.org/10.1007/978-3-319-91764-1_36__In Service-Oriented Computing -- ICSOC 2017 Workshops, edited by Lars Braubach, Juan M. Murillo, Nima Kaviani, Manuel Lama, Loli Burgueño, Naouel Moha, and Marc Oriol, 388–92. Cham: Springer International Publishing, 2018.https://doi.org/10.1007/978-3-319-91764-1_36 .

Heindorf, Stefan, Martin Potthast, Hannah Bast, Björn Buchhold, and Elmar Haussmann. “WSDM Cup 2017: Vandalism Detection and Triple Scoring.” In WSDM, 827–28. ACM, 2017.

Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Linking Services to Websites by Leveraging Semantic Data.”https://doi.org/10.1109/icws.2017.80__In 2017 IEEE International Conference on Web Services (ICWS), edited by Ilkay Altintas and Shiping Chen. IEEE, 2017.https://doi.org/10.1109/icws.2017.80 .

Heindorf, Stefan, Martin Potthast, Gregor Engels, and Benno Stein. “Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017.” In WSDM Cup 2017 Notebook Papers, 2017.

Potthast, Martin, Stefan Heindorf, and Hannah Bast. “Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring.” ArXiv:1712.09528, 2017.

Heindorf, Stefan, Matthias Potthast, Benno Stein, and Gregor Engels. “Vandalism Detection in Wikidata.”https://doi.org/10.1145/2983323.2983740__In Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), 327--336, 2016.https://doi.org/10.1145/2983323.2983740 .

Heindorf, Stefan, Martin Potthast, Benno Stein, and Gregor Engels. “Towards Vandalism Detection in Knowledge Bases.”https://doi.org/10.1145/2766462.2767804__In SIGIR, 831–34. ACM, 2015.https://doi.org/10.1145/2766462.2767804 .

Böttcher, Stefan, Rita Hartel, and Stefan Heindorf. “Optimized XPath Evaluation for Schema-Compressed XML Data.” In ADC, 124:137–44. CRPIT. Australian Computer Society, 2012.