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68 Publications
2021 | Conference Paper | LibreCat-ID: 29287 | 
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.
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| arXiv
2021 | Conference Paper | LibreCat-ID: 29294 |
Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “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. https://doi.org/10.1109/wacv48630.2021.00204.
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021): 717–28. https://doi.org/10.1109/tcds.2020.3044366.
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2021 | Journal Article | LibreCat-ID: 25212
Qudus, Umair, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, and Young-Koo Lee. “An Empirical Evaluation of Cost-Based Federated SPARQL Query Processing Engines.” Semantic Web 12, no. 6 (n.d.): 843–68. https://doi.org/10.3233/SW-200420.
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2020 | Dissertation | LibreCat-ID: 16935
Moussalem, Diego Campos. Knowledge Graphs for Multilingual Language Translation and Generation, 2020. https://doi.org/10.17619/UNIPB/1-980.
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2020 | Conference Paper | LibreCat-ID: 20141 |
Heindorf, Stefan, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. “CauseNet: Towards a Causality Graph Extracted from the Web.” In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–30, 2020. https://doi.org/10.1145/3340531.3412763.
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2020 | Book Chapter | LibreCat-ID: 29042
Röder, Michael, Mohamed Sherif, Muhammad Saleem, Felix Conrads, and Axel-Cyrille Ngonga Ngomo. “Benchmarking the Lifecycle of Knowledge Graphs.” In Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges, edited by Ilaria Tiddi, Freddy Lécué, and Pascal Hitzler, 73–97. IOS Press, 2020. https://doi.org/10.3233/SSW200012.
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2019 | Conference Paper | LibreCat-ID: 15921
Desouki, Abdelmoneim Amer, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “Ranking on Very Large Knowledge Graphs.” In Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT ’19, 163–71. ACM, 2019. https://doi.org/10.1145/3342220.3343660.
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