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367 Publications
2021 | Dissertation | LibreCat-ID: 26746 |

Wiersema, Tobias. Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware. Paderborn University, 2021.
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2021 | Journal Article | LibreCat-ID: 27045 |

Luo, Linghui, et al. “TaintBench: Automatic Real-World Malware Benchmarking of Android Taint Analyses.” Empirical Software Engineering, 2021, doi:10.1007/s10664-021-10013-5.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.
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2021 | Journal Article | LibreCat-ID: 21092
Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE.
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2021 | Conference Paper | LibreCat-ID: 21570
Tornede, Tanja, et al. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” Proceedings of the Genetic and Evolutionary Computation Conference, 2021.
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2021 | Book Chapter | LibreCat-ID: 17905
Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.” Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, edited by Roussanka Loukanova, vol. 939, Springer, 2021, pp. 163--189, doi:10.1007/978-3-030-63787-3_6.
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2021 | Mastersthesis | LibreCat-ID: 22304 |

Schott, Stefan. Android App Analysis Benchmark Case Generation. 2021.
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2021 | Conference Paper | LibreCat-ID: 22913
Hüllermeier, Eyke, et al. Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. 2021.
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2021 | Conference Paper | LibreCat-ID: 22927
Derrick, John, et al. “On Strong Observational Refinement and Forward Simulation.” Proceedings of the 35th International Symposium on Distributed Computing (DISC), Schloß Dagstuhl.
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2021 | Conference Paper | LibreCat-ID: 22051
Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, 2021, pp. 275--284.
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2021 | Conference Paper | LibreCat-ID: 21953
Witschen, Linus Matthias, et al. “Timing Optimization for Virtual FPGA Configurations.” Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), edited by Frank Hannig et al., Springer Lecture Notes in Computer Science, doi:10.1007/978-3-030-79025-7_4.
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2021 | Conference Paper | LibreCat-ID: 21598 |

Schubert, Philipp, et al. “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis.” European Conference on Object-Oriented Programming (ECOOP), 2021.
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2021 | Dissertation | LibreCat-ID: 27284 |

Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification. 2021, doi:10.17619/UNIPB/1-1302.
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2021 | Book Chapter | LibreCat-ID: 22052
Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” Natural Language Processing and Information Systems, edited by Epaminondas Kapetanios et al., vol. 12801, Springer, 2021, pp. 231--242.
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2021 | Conference Paper | LibreCat-ID: 28199
Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android App Analysis Tasks.” 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021, doi:10.1109/scam52516.2021.00031.
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2021 | Conference Paper | LibreCat-ID: 21178
Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.
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2021 | Conference Paper | LibreCat-ID: 23709
Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–93.
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2021 | Conference Paper | LibreCat-ID: 22229
Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.
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2021 | Conference Paper | LibreCat-ID: 21198
Hanselle, Jonas Manuel, et al. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. 2021.
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