Mindlin, Dimitry, Fabian Beer, Leonie Nora Sieger, Stefan Heindorf, Philipp Cimiano, Elena Esposito, and Axel-Cyrille Ngonga-Ngomo. “Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches.” Research Square Platform LLC, 2024.

KOUAGOU, N’Dah Jean, Caglar Demir, Hamada Mohamed Abdelsamee Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, and Axel-Cyrille Ngonga Ngomo. “Universal Knowledge Graph Embeddings.”https://doi.org/10.1145/3589335.3651978__In Companion Proceedings of the ACM on Web Conference 2024. ACM, 2024.https://doi.org/10.1145/3589335.3651978 .

Köhler, Dominik, and Stefan Heindorf. “Utilizing Description Logics for Global Explanations of Heterogeneous  Graph Neural Networks.” ArXiv:2405.12654, 2024.

Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement Learning.”https://doi.org/10.1145/3589334.3645610__In The World Wide Web Conference (WWW), 2204–2215. ACM, n.d.https://doi.org/10.1145/3589334.3645610 .

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 .

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.

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 .

Sieger, Leonie Nora, Stefan Heindorf, Lukas Blübaum, and Axel-Cyrille Ngonga Ngomo. “Explaining ELH Concept Descriptions through Counterfactual Reasoning.” ArXiv:2301.05109, 2023.

Baci, Alkid, and Stefan Heindorf. “Accelerating Concept Learning via Sampling.”https://doi.org/10.1145/3583780.3615158__In CIKM, 3733–3737, 2023.https://doi.org/10.1145/3583780.3615158 .

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.

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 .

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.”https://doi.org/10.1145/3485447.3511925__In WWW, 818–28. ACM, 2022.https://doi.org/10.1145/3485447.3511925 .

Pestryakova, Svetlana , Daniel Vollmers, Mohamed Sherif, Stefan Heindorf, Muhammadhttps://doi.org/10.1038/s41597-022-01298-2__Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications.”https://doi.org/10.1038/s41597-022-01298-2__Scientific Data, 2022.https://doi.org/10.1038/s41597-022-01298-2 .

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 .

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 .