Mindlin D, Beer F, Sieger LN, et al. Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches. Published online 2024.
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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
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Köhler D, Heindorf S. Utilizing Description Logics for Global Explanations of Heterogeneous  Graph Neural Networks. arXiv:240512654. Published online 2024.
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arXiv: 2405.12654

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
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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
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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.
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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.
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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
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Sieger LN, Heindorf S, Blübaum L, Ngonga Ngomo A-C. Explaining ELH Concept Descriptions through Counterfactual Reasoning. arXiv:230105109. Published online 2023.
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arXiv: 2301.05109

Baci A, Heindorf S. Accelerating Concept Learning via Sampling. In: CIKM. ; 2023:3733–3737. doi:10.1145/3583780.3615158
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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
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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.
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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
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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
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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
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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
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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
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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
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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.
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arXiv: 2106.15230

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
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