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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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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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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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