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300 Publications


2022 | Book Chapter | LibreCat-ID: 29727
M. C. Wohlleben, A. Bender, S. Peitz, and W. Sextro, “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction,” in Machine Learning, Optimization, and Data Science, Cham: Springer International Publishing, 2022.
LibreCat | DOI | Download (ext.)
 

2022 | Book Chapter | LibreCat-ID: 33738 | OA
H. M. A. Zahera et al., “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings,” in The Semantic Web: ESWC 2022 Satellite Events, Cham: Springer International Publishing, 2022.
LibreCat | DOI | Download (ext.)
 

2022 | Book Chapter | LibreCat-ID: 38506
H. M. A. Zahera, D. Vollmers, M. A. Sherif, and A.-C. N. Ngomo, “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs,” in The Semantic Web – ISWC 2022, Cham: Springer International Publishing, 2022.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 29046
R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,” in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham, 2021.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 21378
R. Hartel and A. Dunst, “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, 2021.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 22057
T. Jager, R. Kurek, and D. Niehues, “Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance,” in Public-Key Cryptography – PKC 2021, Cham, 2021.
LibreCat | Files available | DOI
 

2021 | Book Chapter | LibreCat-ID: 22059
D. Niehues, “Verifiable Random Functions with Optimal Tightness,” in Public-Key Cryptography – PKC 2021, Cham, 2021.
LibreCat | Files available | DOI
 

2021 | Conference Paper | LibreCat-ID: 27381
C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.
LibreCat | DOI | arXiv
 

2021 | Book Chapter | LibreCat-ID: 26888
T. Götte, C. Kolb, C. Scheideler, and J. Werthmann, “Beep-And-Sleep: Message and Energy Efficient Set Cover,” in Algorithms for Sensor Systems (ALGOSENSORS ’21), Cham, 2021.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 29566
J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, and K. Samelin, “Issuer-Hiding Attribute-Based Credentials,” 2021, doi: 10.1007/978-3-030-92548-2_9.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 32868
P. R. Nagbøl, O. Müller, and O. Krancher, “Designing a Risk Assessment Tool for Artificial Intelligence Systems,” in The Next Wave of Sociotechnical Design, Cham: Springer International Publishing, 2021.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 29292 | OA
R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,” in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham: Springer International Publishing, 2021.
LibreCat | Files available | DOI | Download (ext.)
 

2021 | Book Chapter | LibreCat-ID: 54586
A. Manzoor, M. Saleem, and A.-C. Ngonga Ngomo, “Unsupervised Relation Extraction Using Sentence Encoding,” in The Semantic Web: ESWC 2021 Satellite Events, Cham: Springer International Publishing, 2021.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 21587
S. Alhaddad et al., “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids,” in Euro-Par 2020: Parallel Processing Workshops, Cham, 2021.
LibreCat | Files available | DOI
 

2021 | Book Chapter | LibreCat-ID: 29936
A. Ramaswami, T. Kenter, T. Kühne, and C. Plessl, “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing,” in Applied Reconfigurable Computing. Architectures, Tools, and Applications, Cham: Springer International Publishing, 2021.
LibreCat | DOI
 

2021 | Book Chapter | LibreCat-ID: 60901
A. Yegenoglu, K. Krajsek, S. D. Pier, and M. Herty, “Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2021.
LibreCat | DOI
 

2020 | Book Chapter | LibreCat-ID: 19521
K. Pfannschmidt and E. Hüllermeier, “Learning Choice Functions via Pareto-Embeddings,” in Lecture Notes in Computer Science, Cham, 2020.
LibreCat | DOI
 

2020 | Book Chapter | LibreCat-ID: 19561
M. Sellmann and K. Tierney, “Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types,” in Lecture Notes in Computer Science, Cham, 2020.
LibreCat | DOI
 

2020 | Book Chapter | LibreCat-ID: 21396
T. Jager and D. Niehues, “On the Real-World Instantiability of Admissible Hash Functions and Efficient Verifiable Random Functions,” in Lecture Notes in Computer Science, Cham, 2020.
LibreCat | Files available | DOI | Download (ext.)
 

2020 | Book Chapter | LibreCat-ID: 17337
B. Jazayeri, S. Schwichtenberg, J. Küster, O. Zimmermann, and G. Engels, “Modeling and Analyzing Architectural Diversity of Open Platforms,” in Advanced Information Systems Engineering, Cham, 2020.
LibreCat | DOI
 

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