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5786 Publications


2021 | Mastersthesis | LibreCat-ID: 45238
Model-based Feature Backlog Synchronization for Dual-Track Development Methods
N. N., Model-Based Feature Backlog Synchronization for Dual-Track Development Methods, 2021.
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2021 | Mastersthesis | LibreCat-ID: 45254
Device-Independent Security Proofs Via Entropy Accumulation
A. Anonymous, Device-Independent Security Proofs Via Entropy Accumulation, 2021.
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2021 | Conference Paper | LibreCat-ID: 26406
Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++
P. Schubert, B. Hermann, E. Bodden, R. Leer, in: SCAM ’21: IEEE International Working Conference on Source Code Analysis and Manipulation (Engineering Track), 2021.
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2021 | Conference Paper | LibreCat-ID: 26405
Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++
P. Schubert, F. Sattler, F. Schiebel, B. Hermann, E. Bodden, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.
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2021 | Mastersthesis | LibreCat-ID: 45788
Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump
J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.
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2021 | Mastersthesis | LibreCat-ID: 45787
Computational Text Professionalization using Neural Sequence-to-Sequence Models
A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021.
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2021 | Conference Paper | LibreCat-ID: 30909
ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip
L. Clausing, in: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021.
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2021 | Conference Paper | LibreCat-ID: 46195
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection
M. Karp, A. Podobas, N. Jansson, T. Kenter, C. Plessl, P. Schlatter, S. Markidis, in: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021.
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2021 | Conference Paper | LibreCat-ID: 30908
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.
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2021 | Book Chapter | LibreCat-ID: 21587
HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids
S. Alhaddad, J. Förstner, S. Groth, D. Grünewald, Y. Grynko, F. Hannig, T. Kenter, F.-J. Pfreundt, C. Plessl, M. Schotte, T. Steinke, J. Teich, M. Weiser, F. Wende, in: Euro-Par 2020: Parallel Processing Workshops, Cham, 2021.
LibreCat | Files available | DOI
 

2021 | Book Chapter | LibreCat-ID: 29936
Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing
A. Ramaswami, T. Kenter, T. Kühne, C. Plessl, in: Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, Cham, 2021.
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2021 | Journal Article | LibreCat-ID: 24788 | OA
The HighPerMeshes framework for numerical algorithms on unstructured grids
S. Alhaddad, J. Förstner, S. Groth, D. Grünewald, Y. Grynko, F. Hannig, T. Kenter, F. Pfreundt, C. Plessl, M. Schotte, T. Steinke, J. Teich, M. Weiser, F. Wende, Concurrency and Computation: Practice and Experience (2021) e6616.
LibreCat | Files available | DOI
 

2021 | Journal Article | LibreCat-ID: 46318
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers & Operations Research 136 (2021) 105489.
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2021 | Conference Paper | LibreCat-ID: 46311
Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization
P. Aspar, P. Kerschke, V. Steinhoff, H. Trautmann, C. Grimme, in: H. et al. Ishibuchi (Ed.), Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, Springer, Heidelberg, Berlin, 2021, pp. 311–322.
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2021 | Journal Article | LibreCat-ID: 46317
What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective
C. Coombs, P. Stacey, P. Kawalek, B. Simeonova, J. Becker, K. Bergener, J.Á. Carvalho, M. Fantinato, N.F. Garmann-Johnsen, C. Grimme, A. Stein, H. Trautmann, International Journal of Information Management 58 (2021).
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2021 | Conference Paper | LibreCat-ID: 21272
Forschungsfelder für Künstliche Intelligenz in der strategischen Produktplanung
P. Ködding, R. Dumitrescu, in: E.A. Hartmann (Ed.), Digitalisisierung souverän gestalten, Springer Vieweg, Berlin, Heidelberg, 2021, pp. 59–73.
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2021 | Conference Paper | LibreCat-ID: 48286
When differential privacy meets NLP: The devil is in the detail
I. Habernal, in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2021.
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2021 | Journal Article | LibreCat-ID: 24456 | OA
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems
K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.
LibreCat | Files available | DOI
 

2021 | Conference Paper | LibreCat-ID: 48853
Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms
J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp. 556–564.
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2021 | Conference Paper | LibreCat-ID: 48855
Exact Counting and~Sampling of Optima for the Knapsack Problem
J. Bossek, A. Neumann, F. Neumann, in: Learning and Intelligent Optimization, Springer-Verlag, Berlin, Heidelberg, 2021, pp. 40–54.
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