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212 Publications


2021 | Conference Paper | LibreCat-ID: 21378
Hartel, R., & Dunst, A. (2021). 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. https://doi.org/10.1007/978-3-030-68780-9_19
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2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., … Wende, F. (2021). HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In Euro-Par 2020: Parallel Processing Workshops. Cham. https://doi.org/10.1007/978-3-030-71593-9_15
LibreCat | Files available | DOI
 

2020 | Book Chapter | LibreCat-ID: 17337
Jazayeri, B., Schwichtenberg, S., Küster, J., Zimmermann, O., & Engels, G. (2020). Modeling and Analyzing Architectural Diversity of Open Platforms. In Advanced Information Systems Engineering. Cham. https://doi.org/10.1007/978-3-030-49435-3_3
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2020 | Book Chapter | LibreCat-ID: 19561
Sellmann, M., & Tierney, K. (2020). Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-030-53552-0_12
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2020 | Conference Paper | LibreCat-ID: 17084
Weidmann, N., & Anjorin, A. (2020). Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming. In H. Wehrheim & J. Cabot (Eds.), Proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020. Cham: Springer. https://doi.org/10.1007/978-3-030-45234-6_16
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2020 | Conference Paper | LibreCat-ID: 17085
Schwichtenberg, B., Schwichtenberg, S., Küster, J., Zimmermann, O., & Engels, G. (2020). Modeling and Analyzing Architectural Diversity of Open Platforms. In Advanced Information Systems Engineering. Cham. https://doi.org/10.1007/978-3-030-49435-3_3
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2020 | Book Chapter | LibreCat-ID: 21396
Jager, T., & Niehues, D. (2020). On the Real-World Instantiability of Admissible Hash Functions and Efficient Verifiable Random Functions. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-030-38471-5_13
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2020 | Book Chapter | LibreCat-ID: 18014
El Mesaoudi-Paul, A., Weiß, D., Bengs, V., Hüllermeier, E., & Tierney, K. (2020). Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach. In Learning and Intelligent Optimization. LION 2020. (Vol. 12096, pp. 216–232). Cham: Springer. https://doi.org/10.1007/978-3-030-53552-0_22
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2020 | Book Chapter | LibreCat-ID: 20706
zur Heiden, P. (2020). Considering Context in Design Science Research: A Systematic Literature Review. In Designing for Digital Transformation. Co-Creating Services with Citizens and Industry. Cham. https://doi.org/10.1007/978-3-030-64823-7_21
LibreCat | DOI
 

2020 | Book Chapter | LibreCat-ID: 19521
Pfannschmidt, K., & Hüllermeier, E. (2020). Learning Choice Functions via Pareto-Embeddings. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-030-58285-2_30
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2020 | Book Chapter | LibreCat-ID: 20891
Knüppel, A., Krüger, S., Thüm, T., Bubel, R., Krieter, S., Bodden, E., & Schaefer, I. (2020). Using Abstract Contracts for Verifying Evolving Features and Their Interactions. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-030-64354-6_5
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2019 | Book Chapter | LibreCat-ID: 14890
Kuhlemann, S., Sellmann, M., & Tierney, K. (2019). Exploiting Counterfactuals for Scalable Stochastic Optimization. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-030-30048-7_40
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2019 | Conference Paper | LibreCat-ID: 15080
Hartel, R., & Dunst, A. (2019). How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics. In International Conference on Multimedia Modeling, MMM (pp. 662–671). Thessaloniki, Greece: Springer. https://doi.org/10.1007/978-3-030-05716-9_59
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2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Feature Selection for Analogy-Based Learning to Rank. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_22
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2019 | Book Chapter | LibreCat-ID: 11952
Senft, B., Rittmeier, F., Fischer, H. G., & Oberthür, S. (2019). A Value-Centered Approach for Unique and Novel Software Applications. In Design, User Experience, and Usability. Practice and Case Studies. Cham. https://doi.org/10.1007/978-3-030-23535-2_27
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2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Analogy-Based Preference Learning with Kernels. In KI 2019: Advances in Artificial Intelligence. Cham. https://doi.org/10.1007/978-3-030-30179-8_3
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2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, V.-L., Destercke, S., & Hüllermeier, E. (2019). Epistemic Uncertainty Sampling. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_7
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2019 | Book Chapter | LibreCat-ID: 13872
Beyer, D., & Jakobs, M.-C. (2019). CoVeriTest: Cooperative Verifier-Based Testing. In Fundamental Approaches to Software Engineering. Cham. https://doi.org/10.1007/978-3-030-16722-6_23
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2018 | Book Chapter | LibreCat-ID: 16392
Feldkord, B., Malatyali, M., & Meyer auf der Heide, F. (2018). A Dynamic Distributed Data Structure for Top-k and k-Select Queries. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Cham. https://doi.org/10.1007/978-3-319-98355-4_18
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2018 | Conference Paper | LibreCat-ID: 2862
Blömer, J., Eidens, F., & Juhnke, J. (2018). Practical, Anonymous, and Publicly Linkable Universally-Composable Reputation Systems. In Topics in Cryptology - {CT-RSA} 2018 - The Cryptographers’ Track at the {RSA} Conference 2018, Proceedings (pp. 470–490). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-76953-0_25
LibreCat | Files available | DOI | Download (ext.)
 

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