Rao, Aniruddh P. Multithreaded Software/Hardware Programming with ReconOS/Zephyr on a RISC-V-Based System-on-Chip. Paderborn University, 2023.
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Simon-Mertens, Florian. Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation. Paderborn University, 2023.
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Oviasogie, Marvin Osaretin. Demonstrator for Dataflow-Based DNN Acceleration for Vision Applications on Platform FPGAs. Paderborn University, 2023.
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Reuter, Lucas David. Development of a Power Analysis Framework for Embedded FPGA Accelerators. Paderborn University, 2023.
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Hamm, Robin. Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen. Paderborn University, 2023.
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Klassen, Alexander. Fast Partial Reconfiguration for ReconO on Xilinx MPSoC Devices. Paderborn University, 2023.
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Tsague Dingo, Jorian. Ein Simulator Für Schedulability-Experimente Mit Periodischen Tasks Auf FPGAs. Paderborn University, 2023.
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Brede, Mathis. Evaluation of Classifier Migration Between Multiple XCS Populations. Paderborn University, 2023.
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Nowosad, Alexander. Design and Realization of an Intra-FPGA ROS 2 Communication Infrastructure for the ReconROS Executor. Paderborn University, 2023.
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AlAidroos, Salem. Design and Implementation of a RadioML Demonstrator Based on an RFSoC Platform. Paderborn University, 2023.
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Evers, Gerrit. Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation. Paderborn University, 2023.
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Raeisi Nafchi, Masood. Reconfigurable Random Forest Implementation on FPGA. Paderborn University, 2023.
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Opdenhövel, Jan-Oliver, et al. “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation.”10.1145/3597031.3597050__Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), ACM, 2023, doi:10.1145/3597031.3597050.
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Kehrbusch, Burkhard, and Gregor Engels. “Digital Transformation - Towards Flexible Human-Centric Enterprises.” Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective, edited by Birgit Vogel-Heuser and Manuel Wimmer, Springer-Vieweg, 2022.
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Koldewey, Christian, et al. “Introduction to the Data-Driven Services in Manufacturing Minitrack - Exploring Management, Engineering, and Organizational Transformation.” Proceedings of the 55th Hawaii International Conference on System Sciences, 2022.
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Gottschalk, Sebastian, et al. “Situational Business Model Developer: A Tool-Support for Situation-Speciû01c Business Model Development.” Proceedings of the 17th International Conference on Wirtschaftsinformatik, AIS, 2022.
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Yigitbas, Enes, et al. “Development and Evaluation of a Collaborative Stock Trading Environment in Virtual Reality.” Proceedings of the 17th International Conference on Wirtschaftsinformatik, AIS, 2022.
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Castenow, Jannik, et al. “A Discrete and Continuous Study of the Max-Chain-Formation Problem.”10.1016/j.ic.2022.104877__Information and Computation, 104877, Elsevier BV, 2022, doi:10.1016/j.ic.2022.104877.
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Schneider, Stefan Balthasar. Network and Service Coordination: Conventional and Machine Learning Approaches". 2022, doi:10.17619/UNIPB/1-1276 .
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Meyer, Maurice, et al. “A Reference Process Model for Usage Data-Driven Product Planning.” Proceedings of the 55th Hawaii International Conference on System Sciences, 2022, pp. 6105–14.
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Yigitbas, Enes, et al. “Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces.”10.18420/se2022-ws-033__Software Engineering 2022, Fachtagung Des GI-Fachbereichs Softwaretechnik, 21.-25. Februar 2022, Virtuell, edited by Lars Grunske et al., vol. P-320, Gesellschaft für Informatik e.V., 2022, pp. 95–96, doi:10.18420/se2022-ws-033.
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Yigitbas, Enes, et al. “Collaborative Software Modeling in Virtual Reality.”10.18420/se2022-ws-032__Software Engineering 2022, Fachtagung Des GI-Fachbereichs Softwaretechnik, 21.-25. Februar 2022, Virtuell, edited by Lars Grunske et al., vol. P-320, Gesellschaft für Informatik e.V., 2022, pp. 93–94, doi:10.18420/se2022-ws-032.
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Witschen, Linus Matthias, et al. “Search Space Characterization for Approximate Logic Synthesis .” 2022 59th ACM/IEEE Design Automation Conference (DAC).
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Witschen, Linus Matthias, et al. “MUSCAT: MUS-Based Circuit Approximation Technique.” Design, Automation and Test in Europe (DATE).
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Roopa, Rajanna. Evaluation of Algorithms for the Node Capacitated Clique. 2022.
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Korzeczek, Sebastian. Aufarbeitung Und Lmplementierung von DAG-Rider. 2022.
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Nachtigall, Marcel. Hybrid Routing in Three Dimensions. 2022.
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Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.
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Banholzer, Stefan, et al. “ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation.”10.1007/978-3-030-79393-7_3__Non-Smooth and Complementarity-Based Distributed Parameter Systems, edited by Hintermüller Michael et al., Springer, 2022, pp. 43–76, doi:10.1007/978-3-030-79393-7_3.
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Peitz, Sebastian, et al. “Efficient Virtual Design and Testing of Autonomous Vehicles.”10.1007/978-3-030-81455-7_23__German Success Stories in Industrial Mathematics, edited by H. G. Bock et al., vol. 35, Springer International Publishing, 2022, doi:10.1007/978-3-030-81455-7_23.
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Schede, Elias, et al. “A Survey of Methods for Automated Algorithm Configuration.” ArXiv:2202.01651, 2022.
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Yigitbas, Enes, et al. “Self-Adaptive Digital Assistance Systems for Work 4.0.” Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective, edited by Birgit Vogel-Heuser and Manuel Wimmer, Springer-Vieweg, 2022.
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Hansmeier, Tim, and Marco Platzner. “Integrating Safety Guarantees into the Learning Classifier System XCS.”10.1007/978-3-031-02462-7_25__Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, vol. 13224, Springer International Publishing, 2022, pp. 386–401, doi:10.1007/978-3-031-02462-7_25.
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Feldmann, Michael, et al. “Coordinating Amoebots via Reconfigurable Circuits.”10.1089/cmb.2021.0363__J. Comput. Biol., vol. 29, no. 4, 2022, pp. 317–343, doi:10.1089/cmb.2021.0363.
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Fischer, Andreas, et al. “Computation on Encrypted Data Using Dataflow Authentication.”10.1145/3513005__ACM Transactions on Privacy and Security, vol. 25, no. 3, Association for Computing Machinery (ACM), 2022, pp. 1–36, doi:10.1145/3513005.
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Hillebrandt, Henning. Verteiltes Berechnen Kompakter Routingtabellen in Unit Disk Graphen. 2022.
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Sharma, Arnab, et al. “Property-Driven Testing of Black-Box Functions.” Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), IEEE, 2022, pp. 113–23.
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Gottschalk, Sebastian, et al. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .”10.1109/ICSA-C54293.2022.00011__Proceedings of the 18th International Conference on Software Architecture Companion , IEEE, 2022, doi:10.1109/ICSA-C54293.2022.00011.
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PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.”10.52041/serj.v21i2.46__STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.46.
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Klus, Stefan, et al. “Koopman Analysis of Quantum Systems.”10.1088/1751-8121/ac7d22__Journal of Physics A: Mathematical and Theoretical, vol. 55, no. 31, IOP Publishing Ltd., 2022, p. 314002, doi:10.1088/1751-8121/ac7d22.
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arXiv: 2201.12062

Schlichtig, Michael, et al. CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. 2022, doi:10.48550/ARXIV.2204.06447.
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Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.
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Nachtigall, Marcus, et al. “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.”10.1145/3533767__Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, ACM, 2022, pp. 532–43, doi:10.1145/3533767.
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Schlichtig, Michael, et al. “FUM - A Framework for API Usage Constraint and Misuse Classification.”https://doi.org/10.1109/SANER53432.2022.00085__2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–84, doi:https://doi.org/10.1109/SANER53432.2022.00085.
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Vahle, Ella. Modelling and Proving Security for a Secure MPC Protocol for Stable Matching. 2022.
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Castenow, Jannik, et al. “The K-Server with Preferences Problem.”10.1145/3490148.3538595__Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2022, pp. 345–56, doi:10.1145/3490148.3538595.
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arXiv: 2205.11102

Kirchhoff, Jonas, and Gregor Engels. “Anti-Pattern Detection in Process-Driven Decision Support Systems.”10.1007/978-3-031-20706-8_16__Software Business, vol. 463, Springer International Publishing, 2022, pp. 227--243, doi:10.1007/978-3-031-20706-8_16.
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Polevoy, Gleb, and Marcin Dziubiski. “Fair, Individually Rational and Cheap Adjustment.”10.24963/ijcai.2022/64__Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, edited by Luc De Raedt, International Joint Conferences on Artificial Intelligence Organization, 2022, doi:10.24963/ijcai.2022/64.
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Epstein, Leah, et al. “Cardinality Constrained Scheduling in Online Models.”10.4230/LIPIcs.STACS.2022.28__39th International Symposium on Theoretical Aspects of Computer Science, STACS 2022, March 15-18, 2022, Marseille, France (Virtual Conference), edited by Petra Berenbrink and Benjamin Monmege, vol. 219, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 28:1–28:15, doi:10.4230/LIPIcs.STACS.2022.28.
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Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–97.
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Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain.” Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–54.
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Lauscher, Anne, et al. “On the Role of Knowledge in  Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.
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Kiesel, Johannes, et al. “Identifying the Human Values behind Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–71.
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Pasic, Faruk, and Matthias Becker. “Domain-Specific Language for Condition Monitoring Software Development.”10.1109/etfa52439.2022.9921730__2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022, doi:10.1109/etfa52439.2022.9921730.
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Spliethöver, Maximilian, et al. “No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media.” Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, 2022.
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arXiv: 2211.03634

Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
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Bondarenko, Alexander, et al. “Overview of Touché 2022: Argument Retrieval.”10.1007/978-3-030-99739-7_43__Lecture Notes in Computer Science, Springer International Publishing, 2022, doi:10.1007/978-3-030-99739-7_43.
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Padalkin, Andreas, et al. “The Structural Power of Reconfigurable Circuits in the Amoebot Model.”10.4230/LIPIcs.DNA.28.8__28th International Conference on DNA Computing and Molecular Programming (DNA 28), edited by Thomas E. Ouldridge and Shelley F. J. Wickham, vol. 238, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022, p. 8:1–8:22, doi:10.4230/LIPIcs.DNA.28.8.
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Kostitsyna, Irina, et al. “Fault-Tolerant Shape Formation in the Amoebot Model.”10.4230/LIPIcs.DNA.28.9__28th International Conference on DNA Computing and Molecular Programming (DNA 28), edited by Thomas E. Ouldridge and Shelley F. J. Wickham, vol. 238, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022, p. 9:1–9:22, doi:10.4230/LIPIcs.DNA.28.9.
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Schubert, Philipp, et al. “Static Data-Flow Analysis for Software Product Lines in C.”10.1007/s10515-022-00333-1__Automated Software Engineering, vol. 29, no. 1, 35, Springer Science and Business Media LLC, 2022, doi:10.1007/s10515-022-00333-1.
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Redder, Adrian, et al. “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law.” Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.
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Redder, Adrian, et al. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.”10.5220/0010845400003116__Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022, doi:10.5220/0010845400003116.
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Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence of Dependent  Aperiodic Communication.” ArXiv:2201.11343, 2022.
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arXiv: 2201.11343

Clausing, Lennart, and Marco Platzner. “ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support.”10.1109/ipdpsw55747.2022.00029__2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2022, pp. 120–27, doi:10.1109/ipdpsw55747.2022.00029.
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Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.
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arXiv: 2201.00570

Richter, Cedric, and Heike Wehrheim. “Learning Realistic Mutations: Bug Creation for Neural Bug Detectors.”10.1109/ICST53961.2022.00027__2022 IEEE Conference on Software Testing, Verification and Validation (ICST), 2022, pp. 162–73, doi:10.1109/ICST53961.2022.00027.
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Richter, Cedric, and Heike Wehrheim. “TSSB-3M: Mining Single Statement Bugs at Massive Scale.”10.1145/3524842.3528505__2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 2022, pp. 418–22, doi:10.1145/3524842.3528505.
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Siek, Hanna. Bringing Structure to Structure-Preserving Signatures: Overview, Implementation and Comparison of Selected SPS Schemes. 2022.
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Kramer, Paul. On Transforming Lattice-Based Cryptography to the Ring Setting. 2022.
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Redder, Adrian, et al. “Practical Network Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine, vol. 55, no. 13, Elsevier, 2022, pp. 133–138.
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Hansmeier, Tim, et al. “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion.”10.1145/3520304.3533977__GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2022, pp. 2071–79, doi:10.1145/3520304.3533977.
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Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
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Maack, Marten, et al. “(In-)Approximability Results for Interval, Resource Restricted, and Low Rank Scheduling.”10.4230/LIPIcs.ESA.2022.77__30th Annual European Symposium on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany, edited by Shiri Chechik et al., vol. 244, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 77:1–77:13, doi:10.4230/LIPIcs.ESA.2022.77.
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Ahmed, Qazi Arbab. Hardware Trojans in Reconfigurable Computing.10.17619/UNIPB/1-1271__Paderborn University, Paderborn, Germany, 2022, doi:10.17619/UNIPB/1-1271.
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Panzner, Melina, et al. “Characterization of Usage Data with the Help of Data Classifications.”10.1007/s13132-022-01081-z__Journal of the Knowledge Economy, Springer Science and Business Media LLC, 2022, doi:10.1007/s13132-022-01081-z.
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Merkelbach, Silke, et al. “Using Vibration Data to Classify Conditions in Disk Stack Separators.”10.21595/vp.2022.23000__Vibroengineering PROCEDIA, vol. 46, JVE International Ltd., 2022, pp. 21–26, doi:10.21595/vp.2022.23000.
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Hobscheidt, Daniela, et al. “Soziotechnische Herausforderungen Bei Der Einführung von RPA Managen.”10.1007/978-3-658-38379-4_8__Praxishandbuch Robotic Process Automation (RPA), Springer Fachmedien Wiesbaden, 2022, doi:10.1007/978-3-658-38379-4_8.
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Bansmann, Michael, et al. “Transfer von Arbeit 4.0-Anwendungsszenarien.”10.1007/978-3-662-58014-1_3__Gestaltung Digitalisierter Arbeitswelten, Springer Berlin Heidelberg, 2022, doi:10.1007/978-3-662-58014-1_3.
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Brock, Jonathan, et al. “Nutzung von Process Mining in RPA-Projekten.”10.1007/978-3-658-38379-4_5__Praxishandbuch Robotic Process Automation (RPA), Springer Fachmedien Wiesbaden, 2022, doi:10.1007/978-3-658-38379-4_5.
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Alshomary, Milad, et al. “Generating Contrastive Snippets for Argument Search.”http://dx.doi.org/10.3233/FAIA220138__Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31, doi:http://dx.doi.org/10.3233/FAIA220138.
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Wolters, Dennis, and Gregor Engels. “Towards Situational Process Management for Professional Education Programmes.”10.1007/978-3-031-21388-5_16__Product-Focused Software Process Improvement, edited by Davide Taibi et al., vol. 13709, Springer International Publishing, 2022, pp. 235–42, doi:10.1007/978-3-031-21388-5_16.
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Werner, Stefan, et al. “Use What You Know: Network and Service Coordination Beyond Certainty.” IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.
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Koldewey, Christian, et al. “Aligning Strategic Position, Behavior, and Structure for Smart Service Businesses in Manufacturing.”10.1016/j.techfore.2021.121329__Technological Forecasting and Social Change, 121329, Elsevier, 2022, doi:10.1016/j.techfore.2021.121329.
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Lienen, Christian, and Marco Platzner. ReconROS Executor: Event-Driven Programming of FPGA-Accelerated ROS 2 Applications. 2022.
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Niehues, David. More Efficient Techniques for Adaptively-Secure Cryptography. 2022, doi:10.25926/rdtq-jw45.
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Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” EUROCALL, 2022.
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Höper, Lukas, et al. “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network.”10.52041/iase.nkppy__Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022, doi:10.52041/iase.nkppy.
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Baswana, Surender, et al. “Mincut Sensitivity Data Structures for the Insertion of an Edge.”10.1007/s00453-022-00978-0__Algorithmica, Springer Science and Business Media LLC, 2022, doi:10.1007/s00453-022-00978-0.
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Kirchhoff, Jonas, et al. “Detecting Data Incompatibilities in Process-Driven Decision Support Systems.”10.1007/978-3-031-11510-3_6__Lecture Notes in Business Information Processing, Springer International Publishing, 2022, doi:10.1007/978-3-031-11510-3_6.
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Fehring, Lukas. Combined Ranking and Regression Trees for Algorithm Selection. 2022.
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Tornede, Alexander, et al. “Machine Learning for Online Algorithm Selection under Censored Feedback.” Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI, 2022.
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arXiv: 2109.06234

Tornede, Alexander, et al. “Algorithm Selection on a Meta Level.” Machine Learning, 2022.
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arXiv: 2107.09414

Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094, 2022.
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arXiv: 2208.12094

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