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Trentinaglia, Roman, et al. “Eliciting Security Requirements – An Experience Report.”10.1007/978-3-031-29786-1_25__REFSQ 2023: Requirements Engineering: Foundation for Software Quality, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-29786-1_25.
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Castenow, Jannik, et al. “Unifying Gathering Protocols for Swarms of Mobile Robots.”10.1007/978-3-031-30448-4_1__Lecture Notes in Computer Science, Springer International Publishing, 2023, doi:10.1007/978-3-031-30448-4_1.
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Ahmed, Abdullah Fathi Ahmed, et al. “Explainable Integration of Knowledge Graphs Using Large Language Models.”10.1007/978-3-031-35320-8_9__Natural Language Processing and Information Systems, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35320-8_9.
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Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.”10.1007/978-3-031-35320-8_12__Natural Language Processing and Information Systems, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35320-8_12.
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Dieter, Peter. “A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows.”10.1007/978-3-031-43612-3_14__Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43612-3_14.
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Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).”10.1007/978-3-031-43421-1_12__Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43421-1_12.
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Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge for Feature Ranking.”10.1007/978-3-031-35891-3_7__Artificial Intelligence in HCI, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35891-3_7.
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Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.”10.1007/978-3-031-47240-4_25__The Semantic Web – ISWC 2023, edited by Terry R. Payne et al., vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:10.1007/978-3-031-47240-4_25.
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Alt, Christoph, et al. “Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline.”10.1007/978-3-031-32041-5_5__Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-32041-5_5.
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Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.”10.1007/978-3-031-45275-8_13__26th International Conference on Discovery Science , vol. 14050, Springer Nature Switzerland, 2023, pp. 189–203, doi:10.1007/978-3-031-45275-8_13.
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Muschalik, Maximilian, et al. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.”10.1007/978-3-031-43418-1_26__Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43418-1_26.
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de Camargo e Souza Câmara, Igor, and Anni-Yasmin Turhan. “Deciding Subsumption in Defeasible $$\'6dathcal ELI_$$ with Typicality Models.”10.1007/978-3-031-43619-2_36__Logics in Artificial Intelligence, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43619-2_36.
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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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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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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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Maack, Marten, et al. “Server Cloud Scheduling.”10.1007/978-3-030-92702-8_10__Approximation and Online Algorithms, Springer International Publishing, 2022, doi:10.1007/978-3-030-92702-8_10.
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Wohlleben, Meike Claudia, et al. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.”10.1007/978-3-030-95470-3_8__Machine Learning, Optimization, and Data Science, Springer International Publishing, 2022, doi:10.1007/978-3-030-95470-3_8.
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Zahera, Hamada Mohamed Abdelsamee, et al. “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.”10.1007/978-3-031-11609-4_9__The Semantic Web: ESWC 2022 Satellite Events, Springer International Publishing, 2022, doi:10.1007/978-3-031-11609-4_9.
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Zahera, H. M. A., et al. “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs.”10.1007/978-3-031-19433-7_18__The Semantic Web – ISWC 2022, Springer International Publishing, 2022, doi:10.1007/978-3-031-19433-7_18.
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KOUAGOU, N’Dah Jean, et al. “Learning Concept Lengths Accelerates Concept Learning in ALC.”10.1007/978-3-031-06981-9_14__The Semantic Web, Springer International Publishing, 2022, doi:10.1007/978-3-031-06981-9_14.
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Feldhans, Robert, et al. “Drift Detection in Text Data with Document Embeddings.”10.1007/978-3-030-91608-4_11__Intelligent Data Engineering and Automated Learning – IDEAL 2021, 2021, doi:10.1007/978-3-030-91608-4_11.
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Hartel, Rita, and Alexander Dunst. “An OCR Pipeline and Semantic Text Analysis for Comics.”10.1007/978-3-030-68780-9_19__MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges, 2021, doi:10.1007/978-3-030-68780-9_19.
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Jager, Tibor, et al. “Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance.”10.1007/978-3-030-75245-3_22__Public-Key Cryptography – PKC 2021, 2021, doi:10.1007/978-3-030-75245-3_22.
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Niehues, David. “Verifiable Random Functions with Optimal Tightness.”10.1007/978-3-030-75248-4_3__Public-Key Cryptography – PKC 2021, 2021, doi:10.1007/978-3-030-75248-4_3.
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Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.”10.1007/978-3-030-88942-5__Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, vol. 12986, Springer, 2021, pp. 166–80, doi:10.1007/978-3-030-88942-5.
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Götte, Thorsten, et al. “Beep-And-Sleep: Message and Energy Efficient Set Cover.”10.1007/978-3-030-89240-1_7__Algorithms for Sensor Systems (ALGOSENSORS ’21), 2021, doi:10.1007/978-3-030-89240-1_7.
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Bobolz, Jan, et al. “Issuer-Hiding Attribute-Based Credentials.”10.1007/978-3-030-92548-2_9__Cryptology and Network Security, Springer International Publishing, 2021, doi:10.1007/978-3-030-92548-2_9.
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Nagbøl, Per Rådberg, et al. “Designing a Risk Assessment Tool for Artificial Intelligence Systems.”10.1007/978-3-030-82405-1_32__The Next Wave of Sociotechnical Design, Springer International Publishing, 2021, doi:10.1007/978-3-030-82405-1_32.
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Feldhans, Robert, et al. “Drift Detection in Text Data with Document Embeddings.”10.1007/978-3-030-91608-4_11__Intelligent Data Engineering and Automated Learning – IDEAL 2021, Springer International Publishing, 2021, doi:10.1007/978-3-030-91608-4_11.
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Kontinen, Juha, et al. “A Parameterized View on the Complexity of Dependence Logic.”10.1007/978-3-030-93100-1_9__Logical Foundations of Computer Science, Springer International Publishing, 2021, doi:10.1007/978-3-030-93100-1_9.
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Alhaddad, Samer, et al. “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.”10.1007/978-3-030-71593-9_15__Euro-Par 2020: Parallel Processing Workshops, 2021, doi:10.1007/978-3-030-71593-9_15.
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Ramaswami, Arjun, et al. “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.”10.1007/978-3-030-79025-7_21__Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2021, doi:10.1007/978-3-030-79025-7_21.
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Kontinen, Juha, et al. “A Parameterized View on the Complexity of Dependence Logic.”10.1007/978-3-030-93100-1_9__Logical Foundations of Computer Science, Springer International Publishing, 2021, doi:10.1007/978-3-030-93100-1_9.
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Pfannschmidt, Karlson, and Eyke Hüllermeier. “Learning Choice Functions via Pareto-Embeddings.”10.1007/978-3-030-58285-2_30__Lecture Notes in Computer Science, 2020, doi:10.1007/978-3-030-58285-2_30.
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Sellmann, Meinolf, and Kevin Tierney. “Hyper-Parameterized Dialectic Search for Non-Linear Box-Constrained Optimization with Heterogenous Variable Types.”10.1007/978-3-030-53552-0_12__Lecture Notes in Computer Science, 2020, doi:10.1007/978-3-030-53552-0_12.
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Jager, Tibor, and David Niehues. “On the Real-World Instantiability of Admissible Hash Functions and Efficient Verifiable Random Functions.”10.1007/978-3-030-38471-5_13__Lecture Notes in Computer Science, 2020, doi:10.1007/978-3-030-38471-5_13.
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Jazayeri, Bahar, et al. “Modeling and Analyzing Architectural Diversity of Open Platforms.”10.1007/978-3-030-49435-3_3__Advanced Information Systems Engineering, 2020, doi:10.1007/978-3-030-49435-3_3.
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Knüppel, Alexander, et al. “Using Abstract Contracts for Verifying Evolving Features and Their Interactions.”10.1007/978-3-030-64354-6_5__Lecture Notes in Computer Science, 2020, doi:10.1007/978-3-030-64354-6_5.
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El Mesaoudi-Paul, Adil, et al. “Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.”10.1007/978-3-030-53552-0_22__Learning and Intelligent Optimization. LION 2020., vol. 12096, Springer, 2020, pp. 216–32, doi:10.1007/978-3-030-53552-0_22.
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Piskachev, Goran, et al. “AuthCheck: Program-State Analysis for Access-Control Vulnerabilities.”10.1007/978-3-030-54997-8_34__Lecture Notes in Computer Science, 2020, doi:10.1007/978-3-030-54997-8_34.
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Weidmann, Nils, and Anthony Anjorin. “Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming.”10.1007/978-3-030-45234-6_16__Proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020, edited by Heike Wehrheim and Jordi Cabot, Springer, 2020, doi:10.1007/978-3-030-45234-6_16.
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Schwichtenberg, Bahar, et al. “Modeling and Analyzing Architectural Diversity of Open Platforms.”10.1007/978-3-030-49435-3_3__Advanced Information Systems Engineering, 2020, doi:10.1007/978-3-030-49435-3_3.
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Dallmeier, Fynn, et al. “Forward-Secure 0-RTT Goes Live: Implementation and Performance Analysis in QUIC.”10.1007/978-3-030-65411-5_11__Cryptology and Network Security, Springer-Verlag, 2020, pp. 211–31, doi:10.1007/978-3-030-65411-5_11.
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zur Heiden, Philipp. “Considering Context in Design Science Research: A Systematic Literature Review.”10.1007/978-3-030-64823-7_21__Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, 2020, doi:10.1007/978-3-030-64823-7_21.
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Mahmood, Yasir, and Arne Meier. “Parameterised Complexity of Model Checking and Satisfiability in Propositional Dependence Logic.”10.1007/978-3-030-39951-1_10__Lecture Notes in Computer Science, Springer International Publishing, 2020, doi:10.1007/978-3-030-39951-1_10.
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Haney, Julie M., et al. “Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges.”10.1007/978-3-030-50309-3_26__HCI for Cybersecurity, Privacy and Trust, Springer International Publishing, 2020, doi:10.1007/978-3-030-50309-3_26.
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Senft, Björn, et al. “A Value-Centered Approach for Unique and Novel Software Applications.”10.1007/978-3-030-23535-2_27__Design, User Experience, and Usability. Practice and Case Studies, 2019, doi:10.1007/978-3-030-23535-2_27.
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Kuhlemann, Stefan, et al. “Exploiting Counterfactuals for Scalable Stochastic Optimization.”10.1007/978-3-030-30048-7_40__Lecture Notes in Computer Science, 2019, doi:10.1007/978-3-030-30048-7_40.
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Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based Learning to Rank.”10.1007/978-3-030-33778-0_22__Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_22.
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