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5792 Publications
2019 | Mastersthesis | LibreCat-ID: 15746
Otte, Oliver. Outsourced Decryption of Attribute-Based Ciphertexts. 2019.
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2019 | Bachelorsthesis | LibreCat-ID: 15747
Wördenweber, Nico Christof. On the Security of the Rouselakis-Waters Ciphertext-Policy Attribute-Based Encryption Scheme in the Random Oracle Model. 2019.
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2019 | Bachelorsthesis | LibreCat-ID: 15819
Leutnant, Matthias. Experimentelle Untersuchung Des SEM-Algorithmus. 2019.
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2019 | Conference Paper | LibreCat-ID: 15838
Pauck, Felix, and Shikun Zhang. “Android App Merging for Benchmark Speed-Up and Analysis Lift-Up.” 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), 2019, doi:10.1109/asew.2019.00019.
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2019 | Mastersthesis | LibreCat-ID: 15883
Kumar Jeyakumar, Shankar. Incremental Learning with Support Vector Machine on Embedded Platforms. 2019.
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2019 | Mastersthesis | LibreCat-ID: 15920
Keerthipati, Monica. A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn, 2019.
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2019 | Conference Paper | LibreCat-ID: 15921
Desouki, Abdelmoneim Amer, et al. “Ranking on Very Large Knowledge Graphs.” Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT ’19, ACM, 2019, pp. 163–71, doi:10.1145/3342220.3343660.
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| DOI
2019 | Conference Paper | LibreCat-ID: 14568 | 
Heindorf, Stefan, et al. “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract).” INFORMATIK, 2019, pp. 289–90, doi:10.18420/inf2019_48.
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2019 | Journal Article | LibreCat-ID: 14817
Sommer, Christoph, and Stefano Basagni. “Advances and Novel Applications of Mobile Wireless Networking.” Ad Hoc Networks, 101975, 2019, doi:10.1016/j.adhoc.2019.101975.
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2019 | Conference Paper | LibreCat-ID: 14819
Heinovski, Julian, et al. “Modeling Cycling Behavior to Improve Bicyclists’ Safety at Intersections - A Networking Perspective.” 2019 IEEE 20th International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), 2019, doi:10.1109/wowmom.2019.8793008.
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2019 | Conference (Editor) | LibreCat-ID: 14829
Scheideler, Christian, and Petra Berenbrink, editors. The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM, 2019, doi:10.1145/3323165.
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2019 | Journal Article | LibreCat-ID: 14830
Gmyr, Robert, et al. “Self-Stabilizing Metric Graphs.” Theory Comput. Syst., vol. 63, no. 2, 2019, pp. 177–99, doi:10.1007/s00224-017-9823-4.
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2019 | Mastersthesis | LibreCat-ID: 14831
Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.
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2019 | Dissertation | LibreCat-ID: 14849
Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
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2019 | Dissertation | LibreCat-ID: 14851
Mäcker, Alexander. On Scheduling with Setup Times. 2019, doi:10.17619/UNIPB/1-828.
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2019 | Journal Article | LibreCat-ID: 14896
Dann, Andreas, et al. “ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules.” IEEE Transactions on Software Engineering, 2019, pp. 1–1, doi:10.1109/tse.2019.2931331.
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2019 | Conference Paper | LibreCat-ID: 14897
Dann, Andreas, et al. “SootDiff: Bytecode Comparison across Different Java Compilers.” Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis - SOAP 2019, 2019, doi:10.1145/3315568.3329966.
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2019 | Conference Paper | LibreCat-ID: 14899
Kruger, Stefan, and Ben Hermann. “Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts.” 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE), 2019, doi:10.1109/ge.2019.00012.
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2019 | Journal Article | LibreCat-ID: 15001
Couso, Ines, et al. “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, pp. 31–44, doi:10.1109/mci.2018.2881642.
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2019 | Journal Article | LibreCat-ID: 15002 |
Waegeman, Willem, et al. “Multi-Target Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge Discovery, vol. 33, no. 2, 2019, pp. 293–324, doi:10.1007/s10618-018-0595-5.
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