Class Expression Learning with Multiple Representations
A.-C. Ngonga Ngomo, C. Demir, N.J. Kouagou, S. Heindorf, N. Karalis, A. Bigerl, in: Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.
LibreCat: /record/46460

LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals
C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, S. Heindorf, ECML PKDD (2023).
LibreCat: /record/46248

Neural Class Expression Synthesis in ALCHIQ(D)
N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.
LibreCat: /record/47421
DOI: 10.1007/978-3-031-43421-1_12

Explaining ELH Concept Descriptions through Counterfactual Reasoning
L.N. Sieger, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, ArXiv:2301.05109 (2023).
LibreCat: /record/37937
arXiv: 2301.05109

Accelerating Concept Learning via Sampling
A. Baci, S. Heindorf, in: CIKM, 2023, pp. 3733–3737.
LibreCat: /record/46575
DOI: 10.1145/3583780.3615158

TaOnto: Unsupervised Semantification with Knowledge Graph Embeddings
H.M.A. Zahera, S. Heindorf, S. Balke, J. Haupt, M. Voigt, C. Walter, F. Witter, A.-C. Ngonga Ngomo, in: The Semantic Web: ESWC 2022 Satellite Events, Springer International Publishing, Cham, 2022.
LibreCat: /record/33738
DOI: 10.1007/978-3-031-11609-4_9

CausalQA: A Benchmark for Causal Question Answering
A. Bondarenko, M. Wolska, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, B. Stein, P. Braslavski, M. Hagen, M. Potthast, in: Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 3296–3308.
LibreCat: /record/33739

AI-Based Assistance System for Manufacturing
S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, G. Tschirner-Vinke, (2022).
LibreCat: /record/33957
DOI: 10.1109/ETFA52439.2022.9921520

Learning Concept Lengths Accelerates Concept Learning in ALC
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: The Semantic Web, Springer International Publishing, Cham, 2022.
LibreCat: /record/33740
DOI: 10.1007/978-3-031-06981-9_14

EvoLearner: Learning Description Logics with Evolutionary Algorithms
S. Heindorf, L. Blübaum, N. Düsterhus, T. Werner, V.N. Golani, C. Demir, A.-C. Ngonga Ngomo, in: WWW, ACM, 2022, pp. 818–828.
LibreCat: /record/29290
DOI: 10.1145/3485447.3511925

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications
S. Pestryakova, D. Vollmers, M. Sherif, S. Heindorf, M. Saleem, D. Moussallem, A.-C. Ngonga Ngomo, Scientific Data (2022).
LibreCat: /record/29851
DOI: 10.1038/s41597-022-01298-2

User Involvement in Training Smart Home Agents
L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Dofangün, in: International Conference on Human-Agent Interaction, ACM, 2022.
LibreCat: /record/34674
DOI: 10.1145/3527188.3561914

Drift Detection in Text Data with Document Embeddings
R. Feldhans, A. Wilke, S. Heindorf, M.H. Shaker, B. Hammer, A.-C. Ngonga Ngomo, E. Hüllermeier, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021, Springer International Publishing, Cham, 2021.
LibreCat: /record/29292
DOI: 10.1007/978-3-030-91608-4_11

Convolutional Hypercomplex Embeddings for Link Prediction
C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian Conference on Machine Learning, ACML 2021, 2021.
LibreCat: /record/29287
arXiv: 2106.15230

Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
T. Nickchen, S. Heindorf, G. Engels, in: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2021.
LibreCat: /record/29294
DOI: 10.1109/wacv48630.2021.00204

Automatically generating instructions from tutorials for search and user navigation
S. Heindorf, (2021).
LibreCat: /record/33733

ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs
H.M.A. Zahera, S. Heindorf, A.-C. Ngonga Ngomo, in: Proceedings of the 11th on Knowledge Capture Conference, ACM, 2021.
LibreCat: /record/29291
DOI: 10.1145/3460210.3493563

CauseNet: Towards a Causality Graph Extracted from the Web
S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, M. Potthast, in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–3030.
LibreCat: /record/20141
DOI: 10.1145/3340531.3412763

Debiasing Vandalism Detection Models at Wikidata
S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: WWW, ACM, 2019, pp. 670–680.
LibreCat: /record/7668
DOI: 10.1145/3308558.3313507

Vandalism Detection in Crowdsourced Knowledge Bases
S. Heindorf, Vandalism Detection in Crowdsourced Knowledge Bases, Universität Paderborn, 2019.
LibreCat: /record/15333