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2182 Publications
2022 | Conference Paper | LibreCat-ID: 47287
Stransky, C., Wiese, O., Roth, V., Acar, Y., & Fahl, S. (2022). 27 Years and 81 Million Opportunities Later: Investigating the Use of Email Encryption for an Entire University. 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 860–875. https://doi.org/10.1109/SP46214.2022.9833755
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| DOI
2022 | Conference Paper | LibreCat-ID: 47288
Jancar, J., Fourné, M., Braga, D. D. A., Sabt, M., Schwabe, P., Barthe, G., Fouque, P.-A., & Acar, Y. (2022). “They’re not that hard to mitigate”: What Cryptographic Library Developers Think About Timing Attacks. 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 632–649. https://doi.org/10.1109/SP46214.2022.9833713
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| DOI
2022 | Conference Paper | LibreCat-ID: 47285
Wermke, D., Wöhler, N., Klemmer, J. H., Fourné, M., Acar, Y., & Fahl, S. (2022). Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects. 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 1880–1896. https://doi.org/10.1109/SP46214.2022.9833686
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2022 | Conference Paper | LibreCat-ID: 47284
Munyendo, C. W., Acar, Y., & Aviv, A. J. (2022). “Desperate Times Call for Desperate Measures”: User Concerns with Mobile Loan Apps in Kenya. 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 2304–2319. https://doi.org/10.1109/SP46214.2022.9833779
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2022 | Conference Paper | LibreCat-ID: 46307
Seiler, M., Prager, R. P., Kerschke, P., & Trautmann, H. (2022). A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes. Proceedings of the Genetic and Evolutionary Computation Conference, 657–665. https://doi.org/10.1145/3512290.3528834
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| DOI
2022 | Conference Paper | LibreCat-ID: 46304
Prager, R. P., Seiler, M., Trautmann, H., & Kerschke, P. (2022). Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 3–17). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_1
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| DOI
2022 | Conference Paper | LibreCat-ID: 46305
Rook, J., Trautmann, H., Bossek, J., & Grimme, C. (2022). On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In J. Fieldsend & M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 356–359–356–359). Association for Computing Machinery. https://doi.org/10.1145/3520304.3528998
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| DOI
2022 | Journal Article | LibreCat-ID: 54708
Rohlfing, K. J., Vollmer, A.-L., Fritsch, J., & Wrede, B. (2022). Which “motionese” parameters change with children’s age? Disentangling attention-getting from action-structuring modifications. Frontiers in Communication, 7. https://doi.org/10.3389/fcomm.2022.922405
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2022 | Journal Article | LibreCat-ID: 54709
Hindemith, L., Bruns, O., Noller, A. M., Hemion, N., Schneider, S., & Vollmer, A.-L. (2022). Interactive Robot Task Learning: Human Teaching Proficiency With Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems, 15(4), 1938–1947. https://doi.org/10.1109/tcds.2022.3186270
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| DOI
2021 | Dissertation | LibreCat-ID: 24760
Delfs, P. (2021). Dreidimensionale Oberflächenanalyse und Topografie-Simulation additiv hergestellter Laser-Sinter Bauteile (Vol. 22). Shaker Verlag GmbH.
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2021 | Journal Article | LibreCat-ID: 25035
Haddenhorst, B., Bengs, V., & Hüllermeier, E. (2021). On testing transitivity in online preference learning. Machine Learning, 2063–2084. https://doi.org/10.1007/s10994-021-06026-2
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| DOI
2021 | Journal Article | LibreCat-ID: 25213
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (2021). MLCheck- Property-Driven Testing of Machine Learning Models. CoRR, abs/2105.00741.
LibreCat
2021 | Journal Article | LibreCat-ID: 25217
Demir, C., & Ngonga Ngomo, A.-C. (2021). DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. CoRR, abs/2106.15373.
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2021 | Conference Paper | LibreCat-ID: 25278
Afifi, H., Sauer, F. J., & Karl, H. (2021). Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21).
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2021 | Conference Paper | LibreCat-ID: 25281
Afifi, H., Guenther, M., Brendel, A., Karl, H., & Kellermann, W. (2021). Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. 14. ITG Conference on Speech Communication (ITG 2021).
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2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya, G., Klaff, J., & Wachsmuth, H. (2021). 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 (pp. 1718–1729).
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2021 | Conference Paper | LibreCat-ID: 20125
Hasnain, A., & Karl, H. (n.d.). Learning Flow Scheduling. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). Las Vegas, USA: IEEE Computer Society. https://doi.org/10.1109/CCNC49032.2021.9369514
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2021 | Journal Article | LibreCat-ID: 27970
Barclay, A., LSA, A., Brighenti, F., Delport, E., Henry, C., Sievenpiper, J., Usic, K., Yuexin, Y., Zurbau, A., TMS, W., Astrup, A., Bulló, M., Buyken, A., Ceriello, A., Ellis, P., Vanginkel, M., CWC, K., La Vecchia, C., Livesey, G., … Brand-Miller, J. (2021). Dietary Glycaemic Index Labelling: A Global Perspective. Nutrients, 13(9). https://doi.org/10.3390/nu13093244
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| PubMed | Europe PMC
2021 | Journal Article | LibreCat-ID: 28349
Drumm, S., Müller, M., & Stenzel, N. (2021). Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie. Informationen Deutsch als Fremdsprache, 48(5), 496–515. https://doi.org/10.1515/infodaf-2021-0069
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| DOI
2021 | Conference Paper | LibreCat-ID: 28350
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (n.d.). MLCHECK–Property-Driven Testing of Machine Learning Classifiers. Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
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