Mindlin D, Beer F, Sieger LN, et al. Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches. Published online 2024.

KOUAGOU NJ, Demir C, Zahera HMA, et al. Universal Knowledge Graph Embeddings. In: Companion Proceedings of the ACM on Web Conference 2024. ACM; 2024. doi:10.1145/3589335.3651978

Köhler D, Heindorf S. Utilizing Description Logics for Global Explanations of Heterogeneous  Graph Neural Networks. arXiv:240512654. Published online 2024.

Blübaum L, Heindorf S. Causal Question Answering with Reinforcement Learning. In: The World Wide Web Conference (WWW). ACM; :2204–2215. doi:10.1145/3589334.3645610

KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis. In: Pesquita C, Jimenez-Ruiz E, McCusker J, et al., eds. The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023). Vol 13870. Springer International Publishing; 2023:209-226. doi:https://doi.org/10.1007/978-3-031-33455-9_13

Ngonga Ngomo A-C, Demir C, Kouagou NJ, Heindorf S, Karalis N, Bigerl A. Class Expression Learning with Multiple Representations. In: Compendium of Neurosymbolic Artificial Intelligence. IOS Press; 2023:272–286.

Demir C, Wiebesiek M, Lu R, Ngonga Ngomo A-C, Heindorf S. LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. ECML PKDD. Published online 2023.

Kouagou NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis in ALCHIQ(D). In: Machine Learning and Knowledge Discovery in Databases: Research Track. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-43421-1_12

Sieger LN, Heindorf S, Blübaum L, Ngonga Ngomo A-C. Explaining ELH Concept Descriptions through Counterfactual Reasoning. arXiv:230105109. Published online 2023.

Baci A, Heindorf S. Accelerating Concept Learning via Sampling. In: CIKM. ; 2023:3733–3737. doi:10.1145/3583780.3615158

Zahera HMA, Heindorf S, Balke S, et al. Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings. In: The Semantic Web: ESWC 2022 Satellite Events. Springer International Publishing; 2022. doi:10.1007/978-3-031-11609-4_9

Bondarenko A, Wolska M, Heindorf S, et al. CausalQA: A Benchmark for Causal Question Answering. In: Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics; 2022:3296–3308.

Deppe S, Brandt L, Brünninghaus M, Papenkordt J, Heindorf S, Tschirner-Vinke G. AI-Based Assistance System for Manufacturing. Published online 2022. doi:10.1109/ETFA52439.2022.9921520

KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Learning Concept Lengths Accelerates Concept Learning in ALC. In: The Semantic Web. Springer International Publishing; 2022. doi:10.1007/978-3-031-06981-9_14

Heindorf S, Blübaum L, Düsterhus N, et al. EvoLearner: Learning Description Logics with Evolutionary Algorithms. In: WWW. ACM; 2022:818-828. doi:10.1145/3485447.3511925

Pestryakova S, Vollmers D, Sherif M, et al. CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications. Scientific Data. Published online 2022. doi:10.1038/s41597-022-01298-2

Sieger LN, Hermann J, Schomäcker A, et al. User Involvement in Training Smart Home Agents. In: International Conference on Human-Agent Interaction. ACM; 2022. doi:10.1145/3527188.3561914

Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing; 2021. doi:10.1007/978-3-030-91608-4_11

Demir C, Moussallem D, Heindorf S, Ngonga Ngomo A-C. Convolutional Hypercomplex Embeddings for Link Prediction. In: The 13th Asian Conference on Machine Learning, ACML 2021. ; 2021.

Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE; 2021. doi:10.1109/wacv48630.2021.00204

Heindorf S. Automatically generating instructions from tutorials for search and user navigation. Published online 2021.

Zahera HMA, Heindorf S, Ngonga Ngomo A-C. ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. In: Proceedings of the 11th on Knowledge Capture Conference. ACM; 2021. doi:10.1145/3460210.3493563

Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo A-C, Potthast M. CauseNet: Towards a Causality Graph Extracted from the Web. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020). ; 2020:3023-3030. doi:10.1145/3340531.3412763

Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata. In: WWW. ACM; 2019:670-680. doi:10.1145/3308558.3313507

Heindorf S. Vandalism Detection in Crowdsourced Knowledge Bases. Universität Paderborn; 2019.

Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In: INFORMATIK. ; 2019:289-290. doi:10.18420/inf2019_48

Wolters D, Heindorf S, Kirchhoff J, Engels G. Semantic Data Mediator: Linking Services to Websites. In: Braubach L, Murillo JM, Kaviani N, et al., eds. Service-Oriented Computing -- ICSOC 2017 Workshops. Springer International Publishing; 2018:388-392. doi:10.1007/978-3-319-91764-1_36

Wolters D, Heindorf S, Kirchhoff J, Engels G. Linking Services to Websites by Leveraging Semantic Data. In: Altintas I, Chen S, eds. 2017 IEEE International Conference on Web Services (ICWS). IEEE; 2017. doi:10.1109/icws.2017.80

Heindorf S, Potthast M, Engels G, Stein B. Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017. In: WSDM Cup 2017 Notebook Papers. ; 2017.

Potthast M, Heindorf S, Bast H. Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring. arXiv:171209528. Published online 2017.

Heindorf S, Potthast M, Bast H, Buchhold B, Haussmann E. WSDM Cup 2017: Vandalism Detection and Triple Scoring. In: WSDM. ACM; 2017:827-828. doi:10.1145/3018661.3022762

Heindorf S, Potthast M, Stein B, Engels G. Vandalism Detection in Wikidata. In: Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016). ; 2016:327--336. doi:10.1145/2983323.2983740

Heindorf S, Potthast M, Stein B, Engels G. Towards Vandalism Detection in Knowledge Bases. In: SIGIR. ACM; 2015:831-834. doi:10.1145/2766462.2767804

Böttcher S, Hartel R, Heindorf S. Optimized XPath evaluation for Schema-compressed XML data. In: ADC. Vol 124. CRPIT. Australian Computer Society; 2012:137-144.