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12159 Publications
2021 | Journal Article | LibreCat-ID: 25209
C. Demir, D. Moussallem, and A.-C. Ngonga Ngomo, “A shallow neural model for relation prediction,” CoRR, vol. abs/2101.09090, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 25210
W. Ali, M. Saleem, B. Yao, A. Hogan, and A.-C. Ngonga Ngomo, “A Survey of RDF Stores \& SPARQL Engines for Querying Knowledge Graphs,” CoRR, vol. abs/2102.13027, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 25211
D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, and R. Usbeck, “Knowledge Graph Question Answering using Graph-Pattern Isomorphism,” CoRR, vol. abs/2103.06752, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 25213
A. Sharma, C. Demir, A.-C. Ngonga Ngomo, and H. Wehrheim, “MLCheck- Property-Driven Testing of Machine Learning Models,” CoRR, vol. abs/2105.00741, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 25214
A. Wilke and A.-C. Ngonga Ngomo, “Open Data Portal Germany (OPAL) Projektergebnisse,” CoRR, vol. abs/2105.03161, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 25215
C. Demir and A.-C. Ngonga Ngomo, “Out-of-Vocabulary Entities in Link Prediction,” CoRR, vol. abs/2105.12524, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 25217
C. Demir and A.-C. Ngonga Ngomo, “DRILL- Deep Reinforcement Learning for Refinement Operators in ALC,” CoRR, vol. abs/2106.15373, 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 25331
M. Brinkmann et al., “ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication,” in 30th {USENIX} Security Symposium ({USENIX} Security 21), 2021, pp. 4293–4310.
LibreCat
2021 | Conference Paper | LibreCat-ID: 25332
R. Merget, M. Brinkmann, N. Aviram, J. Somorovsky, J. Mittmann, and J. Schwenk, “Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E),” in 30th {USENIX} Security Symposium ({USENIX} Security 21), 2021, pp. 213–230.
LibreCat
2021 | Conference (Editor) | LibreCat-ID: 25521
C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports. ACM, 2021.
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| DOI
2021 | Conference Paper | LibreCat-ID: 25523
S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. {P-313, p. 327, doi: 10.18420/infos2021\_w278.
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| DOI
2021 | Conference Paper | LibreCat-ID: 25524
L. Höper and C. Schulte, “Datenbewusstsein: Aufmerksamkeit für die eigenen Daten,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, pp. 73–82, doi: 10.18420/infos2021\_f235.
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| DOI
2021 | Conference Paper | LibreCat-ID: 25525
G. Große-Bölting, D. K.-H. Gerstenberger, L. Gildehaus, A. Mühling, and C. Schulte, “Identity in K-12 Computer Education Research: A Systematic Literature Review,” in ICER 2021: ACM Conference on International Computing Education Research, Virtual Event, USA, August 16-19, 2021, 2021, pp. 169–183, doi: 10.1145/3446871.3469757.
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| DOI
2021 | Journal Article | LibreCat-ID: 25527
C. Schulte and B. A. Becker, “ITiCSE 2021 recap,” ACM SIGCSE Bull., vol. 53, no. 3, pp. 3–4, 2021, doi: 10.1145/3483403.3483405.
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| DOI
2021 | Conference Paper | LibreCat-ID: 20115
G. Skitalinskaya, J. Klaff, and H. Wachsmuth, “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–1729.
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2021 | Conference Paper | LibreCat-ID: 20125
A. Hasnain and H. Karl, “Learning Flow Scheduling,” in 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA.
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2021 | Conference Paper | LibreCat-ID: 20244 | 
S. Gottschalk, J. Kirchhoff, and G. Engels, “Extending Business Model Development Tools with Consolidated Expert Knowledge ,” in Business Modeling and Software Design, Sofia, 2021.
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2021 | Journal Article | LibreCat-ID: 28099 |
J. Menzel, C. Plessl, and T. Kenter, “The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations,” ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, pp. 1–30, 2021, doi: 10.1145/3491235.
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