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.

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.

Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems
K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.

An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, Y.-K. Lee, Semantic Web 12 (n.d.) 843–868.

Knowledge Graphs for Multilingual Language Translation and Generation
D.C. Moussalem, Knowledge Graphs for Multilingual Language Translation and Generation, 2020.

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.

Benchmarking the Lifecycle of Knowledge Graphs
M. Röder, M. Sherif, M. Saleem, F. Conrads, A.-C. Ngonga Ngomo, in: I. Tiddi, F. Lécué, P. Hitzler (Eds.), Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges, IOS Press, 2020, pp. 73–97.

Ranking on Very Large Knowledge Graphs
A.A. Desouki, M. Röder, A.-C. Ngonga Ngomo, in: Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19, ACM, 2019, pp. 163–171.