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164 Publications


2021 | Conference Paper | LibreCat-ID: 23388
Kummita, Sriteja, Goran Piskachev, Johannes Spaeth, and Eric Bodden. “Qualitative and Quantitative Analysis of Callgraph Algorithms for PYTHON.” In Proceedings of the 2021 International Conference on Code Quality (ICCQ), 2021. https://doi.org/10.1109/ICCQ51190.2021.9392986.
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2021 | Journal Article | LibreCat-ID: 20844 | OA
Wagner, Gerit, Julian Prester, Maria Roche, Guido Schryen, Alexander Benlian, Guy Paré, and Mathieu Templier. “Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study.” Information & Management 58, no. 3 (2021).
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2021 | Journal Article | LibreCat-ID: 33649
Kessler, Jan, Francesco Calcavecchia, and Thomas Kühne. “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo.” Advanced Theory and Simulations 4, no. 4 (2021). https://doi.org/10.1002/adts.202000269.
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2021 | Journal Article | LibreCat-ID: 34818
Hanusch, Maximilian. “Symmetries of Analytic Curves.” Differential Geometry and Its Applications 74 (2021). https://doi.org/10.1016/j.difgeo.2020.101687.
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2021 | Journal Article | LibreCat-ID: 27841
Jakobs, Marie-Christine, Felix Pauck, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Software/Hardware Co-Verification for Custom Instruction Set Processors.” IEEE Access, 2021. https://doi.org/10.1109/ACCESS.2021.3131213.
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2021 | Conference Paper | LibreCat-ID: 24280
Gräßler, Iris, and Dominik Wiechel. “Systematische Bewertung von Auswirkungsanalysen Des Engineering Change Managements.” In DS 111: Proceedings of the 32nd Symposium Design for X, edited by Dieter Krause, Kristin Paetzold, and Sandro Wartzack, 2021. https://doi.org/10.35199/dfx2021.12.
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2021 | Journal Article | LibreCat-ID: 46318
Grimme, Christian, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, and Michael Emmerich. “Peeking beyond Peaks: Challenges and Research Potentials of Continuous Multimodal Multi-Objective Optimization.” Computers & Operations Research 136 (2021): 105489. https://doi.org/10.1016/j.cor.2021.105489.
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2021 | Conference Paper | LibreCat-ID: 48860
Bossek, Jakob, and Frank Neumann. “Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem.” In Proceedings of the Genetic and Evolutionary Computation Conference, 198–206. GECCO ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3449639.3459363.
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2021 | Book Chapter | LibreCat-ID: 48862
Bossek, Jakob, and Dirk Sudholt. “Do Additional Optima Speed up Evolutionary Algorithms?” In Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 1–11. New York, NY, USA: Association for Computing Machinery, 2021.
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2021 | Journal Article | LibreCat-ID: 48854
Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.” Algorithmica 83, no. 10 (2021): 3148–3179. https://doi.org/10.1007/s00453-021-00838-3.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 28696 | OA
Scharlau, Ingrid, Andrea Karsten, and Katharina Rohlfing. “Building, Emptying out, or Dreaming? Action Structures and Space in Undergraduates’ Metaphors of Academic Writing.” Journal of Writing Research 12, no. 3 (2021): 493–529. https://doi.org/10.17239/jowr-2021.12.03.01.
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2020 | Working Paper | LibreCat-ID: 17019 | OA
Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.
LibreCat | Files available | Download (ext.)
 

2020 | Conference Paper | LibreCat-ID: 15580
Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.
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2020 | Conference Paper | LibreCat-ID: 15256
Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 263--272. Setúbal, Portugal: SCITEPRESS, 2020.
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2020 | Journal Article | LibreCat-ID: 20678
Bielak, Christian Roman, Max Böhnke, Robert Beck, Mathias Bobbert, and Gerson Meschut. “Numerical Analysis of the Robustness of Clinching Process Considering the Pre-Forming of the Parts .” Journal of Advanced Joining Processes. , 2020. https://doi.org/10.1016/j.jajp.2020.100038.
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2020 | Journal Article | LibreCat-ID: 33263
Nijholt, Eddie, Bob W. Rink, and Sören Schwenker. “Quiver Representations and Dimension Reduction in Dynamical Systems.” SIAM Journal on Applied Dynamical Systems 19, no. 4 (2020): 2428–68. https://doi.org/10.1137/20m1345670.
LibreCat | DOI | arXiv
 

2020 | Journal Article | LibreCat-ID: 37660
Rösler, Margit. “Riesz Distributions and Laplace Transform in the Dunkl Setting of Type A.” Journal of Functional Analysis 278, no. 12 (2020). https://doi.org/10.1016/j.jfa.2020.108506.
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2020 | Conference Paper | LibreCat-ID: 48847
Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.” In Proceedings of the Genetic and Evolutionary Computation Conference, 1277–1285. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3390174.
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2020 | Conference Paper | LibreCat-ID: 48851
Bossek, Jakob, Katrin Casel, Pascal Kerschke, and Frank Neumann. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.” In Proceedings of the Genetic and Evolutionary Computation Conference, 1286–1294. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3390243.
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 48895
Roostapour, Vahid, Jakob Bossek, and Frank Neumann. “Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem.” In Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 551–559. {GECCO} ’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3390168.
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