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35 Publications
2024 | Preprint | LibreCat-ID: 54450 |
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D. Mindlin et al., “Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches.” Research Square Platform LLC, 2024.
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2024 | Conference Paper | LibreCat-ID: 54449 |
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N. J. KOUAGOU et al., “Universal Knowledge Graph Embeddings,” presented at the Companion Proceedings of the ACM on Web Conference 2024, Singapore, 2024, doi: 10.1145/3589335.3651978.
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2024 | Preprint | LibreCat-ID: 54448 |
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D. Köhler and S. Heindorf, “Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks,” arXiv:2405.12654. 2024.
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| arXiv
2024 | Conference Paper | LibreCat-ID: 52231 |
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L. Blübaum and S. Heindorf, “Causal Question Answering with Reinforcement Learning,” in The World Wide Web Conference (WWW), Singapore, pp. 2204–2215, doi: 10.1145/3589334.3645610.
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2023 | Conference Paper | LibreCat-ID: 33734 |
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N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,” in The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi: https://doi.org/10.1007/978-3-031-33455-9_13.
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2023 | Book Chapter | LibreCat-ID: 46460
A.-C. Ngonga Ngomo, C. Demir, N. J. Kouagou, S. Heindorf, N. Karalis, and A. Bigerl, “Class Expression Learning with Multiple Representations,” in Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.
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2023 | Journal Article | LibreCat-ID: 46248 |
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C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, and S. Heindorf, “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals,” ECML PKDD, 2023.
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2023 | Book Chapter | LibreCat-ID: 47421 |
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N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis in ALCHIQ(D),” in Machine Learning and Knowledge Discovery in Databases: Research Track, Cham: Springer Nature Switzerland, 2023.
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2023 | Preprint | LibreCat-ID: 37937 |
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L. N. Sieger, S. Heindorf, L. Blübaum, and A.-C. Ngonga Ngomo, “Explaining ELH Concept Descriptions through Counterfactual Reasoning,” arXiv:2301.05109. 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 46575 |
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A. Baci and S. Heindorf, “Accelerating Concept Learning via Sampling,” in CIKM, Birmingham, UK, 2023, pp. 3733–3737, doi: 10.1145/3583780.3615158.
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2023 | Conference Paper | LibreCat-ID: 54612
N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis (Extended Abstract),” 2023.
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2022 | Book Chapter | LibreCat-ID: 33738 |
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H. M. A. Zahera et al., “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings,” in The Semantic Web: ESWC 2022 Satellite Events, Cham: Springer International Publishing, 2022.
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2022 | Conference Paper | LibreCat-ID: 33739 |
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A. Bondarenko et al., “CausalQA: A Benchmark for Causal Question Answering,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 3296–3308.
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2022 | Conference Paper | LibreCat-ID: 33957
S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, and G. Tschirner-Vinke, “AI-Based Assistance System for Manufacturing.” 2022, doi: 10.1109/ETFA52439.2022.9921520.
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2022 | Book Chapter | LibreCat-ID: 33740 |
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N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Learning Concept Lengths Accelerates Concept Learning in ALC,” in The Semantic Web, Cham: Springer International Publishing, 2022.
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2022 | Conference Paper | LibreCat-ID: 29290 |
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S. Heindorf et al., “EvoLearner: Learning Description Logics with Evolutionary Algorithms,” in WWW, 2022, pp. 818–828, doi: 10.1145/3485447.3511925.
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2022 | Journal Article | LibreCat-ID: 29851 |
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S. Pestryakova et al., “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications,” Scientific Data, 2022, doi: 10.1038/s41597-022-01298-2.
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2022 | Conference Paper | LibreCat-ID: 34674 |
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L. N. Sieger et al., “User Involvement in Training Smart Home Agents,” presented at the HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand, 2022, doi: 10.1145/3527188.3561914.
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2021 | Book Chapter | LibreCat-ID: 29292 |
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R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,” in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham: Springer International Publishing, 2021.
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2021 | Conference Paper | LibreCat-ID: 29287 |
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C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021.
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| arXiv