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264 Publications
2022 | Book Chapter | LibreCat-ID: 33740 | 
KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Learning Concept Lengths Accelerates Concept Learning in ALC. In: The Semantic Web. Springer International Publishing; 2022. doi:10.1007/978-3-031-06981-9_14
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2021 | Book Chapter | LibreCat-ID: 29046
Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: Intelligent Data Engineering and Automated Learning – IDEAL 2021. ; 2021. doi:10.1007/978-3-030-91608-4_11
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| DOI
2021 | Conference Paper | LibreCat-ID: 21378
Hartel R, Dunst A. An OCR Pipeline and Semantic Text Analysis for Comics. In: MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges. Cham; 2021. doi:10.1007/978-3-030-68780-9_19
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2021 | Book Chapter | LibreCat-ID: 22057
Jager T, Kurek R, Niehues D. Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance. In: Public-Key Cryptography – PKC 2021. Cham; 2021. doi:10.1007/978-3-030-75245-3_22
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2021 | Book Chapter | LibreCat-ID: 22059
Niehues D. Verifiable Random Functions with Optimal Tightness. In: Public-Key Cryptography – PKC 2021. Cham; 2021. doi:10.1007/978-3-030-75248-4_3
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2021 | Conference Paper | LibreCat-ID: 27381
Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks. In: Soares C, Torgo L, eds. Proceedings of The 24th International Conference on Discovery Science (DS 2021). Vol 12986. Lecture Notes in Computer Science. Springer; 2021:166-180. doi:10.1007/978-3-030-88942-5
LibreCat
| DOI
| arXiv
2021 | Book Chapter | LibreCat-ID: 26888
Götte T, Kolb C, Scheideler C, Werthmann J. Beep-And-Sleep: Message and Energy Efficient Set Cover. In: Algorithms for Sensor Systems (ALGOSENSORS ’21). ; 2021. doi:10.1007/978-3-030-89240-1_7
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29566
Bobolz J, Eidens F, Krenn S, Ramacher S, Samelin K. Issuer-Hiding Attribute-Based Credentials. In: Cryptology and Network Security. Springer International Publishing; 2021. doi:10.1007/978-3-030-92548-2_9
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| DOI
2021 | Book Chapter | LibreCat-ID: 32868
Nagbøl PR, Müller O, Krancher O. Designing a Risk Assessment Tool for Artificial Intelligence Systems. In: The Next Wave of Sociotechnical Design. Springer International Publishing; 2021. doi:10.1007/978-3-030-82405-1_32
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 29292 |
Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: 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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2021 | Conference Paper | LibreCat-ID: 45846
Kontinen J, Meier A, Mahmood Y. A Parameterized View on the Complexity of Dependence Logic. In: Logical Foundations of Computer Science. Springer International Publishing; 2021. doi:10.1007/978-3-030-93100-1_9
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2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad S, Förstner J, Groth S, et al. HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In: Euro-Par 2020: Parallel Processing Workshops. ; 2021. doi:10.1007/978-3-030-71593-9_15
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2021 | Book Chapter | LibreCat-ID: 29936
Ramaswami A, Kenter T, Kühne T, Plessl C. Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing; 2021. doi:10.1007/978-3-030-79025-7_21
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 45823
Kontinen J, Meier A, Mahmood Y. A Parameterized View on the Complexity of Dependence Logic. In: Logical Foundations of Computer Science. Springer International Publishing; 2021. doi:10.1007/978-3-030-93100-1_9
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2020 | Book Chapter | LibreCat-ID: 19521
Pfannschmidt K, Hüllermeier E. Learning Choice Functions via Pareto-Embeddings. In: Lecture Notes in Computer Science. Cham; 2020. doi:10.1007/978-3-030-58285-2_30
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2020 | Book Chapter | LibreCat-ID: 19561
Sellmann M, Tierney K. Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types. In: Lecture Notes in Computer Science. Cham; 2020. doi:10.1007/978-3-030-53552-0_12
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2020 | Book Chapter | LibreCat-ID: 21396
Jager T, Niehues D. On the Real-World Instantiability of Admissible Hash Functions and Efficient Verifiable Random Functions. In: Lecture Notes in Computer Science. Cham; 2020. doi:10.1007/978-3-030-38471-5_13
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2020 | Book Chapter | LibreCat-ID: 17337
Jazayeri B, Schwichtenberg S, Küster J, Zimmermann O, Engels G. Modeling and Analyzing Architectural Diversity of Open Platforms. In: Advanced Information Systems Engineering. Cham; 2020. doi:10.1007/978-3-030-49435-3_3
LibreCat
| DOI
2020 | Book Chapter | LibreCat-ID: 20891
Knüppel A, Krüger S, Thüm T, et al. Using Abstract Contracts for Verifying Evolving Features and Their Interactions. In: Lecture Notes in Computer Science. ; 2020. doi:10.1007/978-3-030-64354-6_5
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| DOI
2020 | Book Chapter | LibreCat-ID: 18014
El Mesaoudi-Paul A, Weiß D, Bengs V, Hüllermeier E, Tierney K. Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach. In: Learning and Intelligent Optimization. LION 2020. Vol 12096. Lecture Notes in Computer Science. Cham: Springer; 2020:216-232. doi:10.1007/978-3-030-53552-0_22
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