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134 Publications
2021 | Book Chapter | LibreCat-ID: 29292 | 
Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., & Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing. https://doi.org/10.1007/978-3-030-91608-4_11
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2021 | Conference Paper | LibreCat-ID: 29287 |
Demir, C., Moussallem, D., Heindorf, S., & Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. The 13th Asian Conference on Machine Learning, ACML 2021.
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| arXiv
2021 | Conference Paper | LibreCat-ID: 29294 |
Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv48630.2021.00204
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366
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2021 | Conference Paper | LibreCat-ID: 29291 |
Zahera, H. M. A., Heindorf, S., & Ngonga Ngomo, A.-C. (2021). ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. Proceedings of the 11th on Knowledge Capture Conference. https://doi.org/10.1145/3460210.3493563
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2021 | Book Chapter | LibreCat-ID: 54586
Manzoor, A., Saleem, M., & Ngonga Ngomo, A.-C. (2021). Unsupervised Relation Extraction Using Sentence Encoding. In The Semantic Web: ESWC 2021 Satellite Events. Springer International Publishing. https://doi.org/10.1007/978-3-030-80418-3_25
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2021 | Journal Article | LibreCat-ID: 45844
Mahmood, Y., Meier, A., & Schmidt, J. (2021). Parameterized complexity of abduction in Schaefer’s framework. Journal of Logic and Computation, 31(1), 266–296. https://doi.org/10.1093/logcom/exaa079
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2021 | Journal Article | LibreCat-ID: 25212
Qudus, U., Saleem, M., Ngonga Ngomo, A.-C., & Lee, Y.-K. (n.d.). An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. Semantic Web, 12(6), 843–868. https://doi.org/10.3233/SW-200420
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2021 | Book Chapter | LibreCat-ID: 54587
Khan, H., Manzoor, A., Ngonga Ngomo, A.-C., & Saleem, M. (2021). When is the Peak Performance Reached? An Analysis of RDF Triple Stores. In Studies on the Semantic Web. IOS Press. https://doi.org/10.3233/ssw210042
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2020 | Dissertation | LibreCat-ID: 16935
Moussalem, D. C. (2020). Knowledge Graphs for Multilingual Language Translation and Generation. https://doi.org/10.17619/UNIPB/1-980
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2020 | Conference Paper | LibreCat-ID: 20141 |
Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A.-C., & Potthast, M. (2020). CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–3030. https://doi.org/10.1145/3340531.3412763
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2020 | Book Chapter | LibreCat-ID: 29042
Röder, M., Sherif, M., Saleem, M., Conrads, F., & Ngonga Ngomo, A.-C. (2020). Benchmarking the Lifecycle of Knowledge Graphs. In I. Tiddi, F. Lécué, & P. Hitzler (Eds.), Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges (pp. 73–97). IOS Press. https://doi.org/10.3233/SSW200012
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2019 | Conference Paper | LibreCat-ID: 15921
Desouki, A. A., Röder, M., & Ngonga Ngomo, A.-C. (2019). Ranking on Very Large Knowledge Graphs. In Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT ’19 (pp. 163–171). ACM. https://doi.org/10.1145/3342220.3343660
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2017 | Book Chapter | LibreCat-ID: 57234
Meise, B., Schloots, F. M., Müller-Lietzkow, J., & Meister, D. M. (2017). Interdisziplinäres Projektmanagement – Strategische Handlungsempfehlungen für Kooperationsverbünde in akademischen Kontexten. In Interdisziplinäre Perspektiven zur Zukunft der Wertschöpfung. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-20265-1_18
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