Richter, Cedric, Jan Frederik Haltermann, Marie-Christine Jakobs, Felix Pauck, Stefan Schott, and Heike Wehrheim. “Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?”https://doi.org/10.1145/3551349.3561156__In 37th IEEE/ACM International Conference on Automated Software Engineering. ACM, 2023.https://doi.org/10.1145/3551349.3561156 .
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Pauck, Felix. “Scaling Arbitrary Android App Analyses.”https://doi.org/10.1145/3551349.3561339__In 37th IEEE/ACM International Conference on Automated Software Engineering. ACM, 2023.https://doi.org/10.1145/3551349.3561339 .
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Ahmed, Qazi Arbab, Muhammad Awais, and Marco Platzner. “MAAS: Hiding Trojans in Approximate Circuits.” In The 24th International Symposium on Quality Electronic Design (ISQED’23), San Francisco, Califorina USA, 2023.
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Wehrheim, Heike, Marco Platzner, Eric Bodden, Philipphttps://doi.org/10.5281/zenodo.8068583__Schubert, Felix Pauck, and Marie-Christine Jakobs. “Verifying Software and Reconfigurable Hardware Services.”https://doi.org/10.5281/zenodo.8068583__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:125–44. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068583 .
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Bäumer, Frederik Simon, Wei-Fan Chen, Michaela Geierhos, Joschka Kersting, and Henning Wachsmuth. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.”https://doi.org/10.5281/zenodo.8068456__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:65–84. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068456 .
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Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.”https://doi.org/10.5281/zenodo.8068466__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068466 .
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Wehrheim, Heike, Eyke Hüllermeier, Steffen Becker, Matthias Becker, Cedric Richter, and Arnab Sharma. “Composition Analysis in Unknown Contexts.”https://doi.org/10.5281/zenodo.8068510__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:105–23. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068510 .
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Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.”https://doi.org/10.1007/978-3-031-37890-4_3__In Data Management Technologies and Applications, edited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi, and Christoph Quix, 1860:45–65. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023.https://doi.org/10.1007/978-3-031-37890-4_3 .
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Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.17619/UNIPB/1-1797 .
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Witschen, Linus Matthias, Tobias Wiersema, Lucas David Reuter, and Marco Platzner. “Search Space Characterization for Approximate Logic Synthesis .” In 2022 59th ACM/IEEE Design Automation Conference (DAC), n.d.
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Witschen, Linus Matthias, Tobias Wiersema, Matthias Artmann, and Marco Platzner. “MUSCAT: MUS-Based Circuit Approximation Technique.” In Design, Automation and Test in Europe (DATE), n.d.
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Schede, Elias, Jasmin Brandt, Alexander Tornede, Marcel Dominik Wever, Viktor Bengs, Eyke Hüllermeier, and Kevin Tierney. “A Survey of Methods for Automated Algorithm Configuration.” ArXiv:2202.01651, 2022.
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arXiv: 2202.01651

Sharma, Arnab, Vitaly Melnikov, Eyke Hüllermeier, and Heike Wehrheim. “Property-Driven Testing of Black-Box Functions.” In Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), 113–23. IEEE, 2022.
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Fehring, Lukass, Jonas Manuel Hanselle, and Alexander Tornede. “HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection.” In Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, 2022.
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Schubert, Philipp, Paul Gazzillo, Zach Patterson, Julian Braha, Fabian Schiebel, Ben Hermann, Shiyi Wei, and Eric Bodden. “Static Data-Flow Analysis for Software Product Lines in C.”https://doi.org/10.1007/s10515-022-00333-1__Automated Software Engineering 29, no. 1 (2022).https://doi.org/10.1007/s10515-022-00333-1 .
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Richter, Cedric, and Heike Wehrheim. “Learning Realistic Mutations: Bug Creation for Neural Bug Detectors.”https://doi.org/10.1109/ICST53961.2022.00027__In 2022 IEEE Conference on Software Testing, Verification and Validation (ICST), 162–73, 2022.https://doi.org/10.1109/ICST53961.2022.00027 .
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Richter, Cedric, and Heike Wehrheim. “TSSB-3M: Mining Single Statement Bugs at Massive Scale.”https://doi.org/10.1145/3524842.3528505__In 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 418–22, 2022.https://doi.org/10.1145/3524842.3528505 .
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Dreßler, Kevin, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-Expression Learning.”https://doi.org/10.1145/3511095.3531287__In Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia, 2022.https://doi.org/10.1145/3511095.3531287 .
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Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing Culture-Specific Argument Structures in Learner Essays.” In Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.
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Kersting, Joschka, Mobeen Ahmed, and Michaela Geierhos. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.”https://doi.org/10.1007/978-3-031-06417-3_56__In HCI International 2022 Posters, edited by Constantine Stephanidis, Margherita Antona, and Stavroula Ntoa, 1580:419--426. Communications in Computer and Information Science (CCIS). Cham, Switzerland: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-06417-3_56 .
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Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, edited by Joschka Kersting, 5–9. Barcelona, Spain: IARIA, 2022.
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Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” In EUROCALL, 2022.
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Tornede, Alexander, Viktor Bengs, and Eyke Hüllermeier. “Machine Learning for Online Algorithm Selection under Censored Feedback.” Proceedings of the 36th AAAI Conference on Artificial Intelligence. AAAI, 2022.
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Tornede, Alexander, Lukas Gehring, Tanja Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection on a Meta Level.” Machine Learning, 2022.
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Gevers, Karina, Alexander Tornede, Marcel Dominik Wever, Volker Schöppner, and Eyke Hüllermeier. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.”https://doi.org/10.1007/s40194-022-01339-9__Welding in the World, 2022.https://doi.org/10.1007/s40194-022-01339-9 .
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Ahmed, Qazi Arbab, and Marco Platzner. “On the Detection and Circumvention of Bitstream-Level Trojans in FPGAs.” Pafos, Cyprus: IEEE Computer Society Annual Symposium on VLSI (ISVLSI,2022), 2022.
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Dongol, Brijesh, Gerhard Schellhorn, and Heike Wehrheim. “Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement.”https://doi.org/10.4230/LIPIcs.CONCUR.2022.31__In 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, edited by Bartek Klin, Slawomir Lasota, and Anca Muscholl, 243:31:1–31:23. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022.https://doi.org/10.4230/LIPIcs.CONCUR.2022.31 .
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Sharma, Arnab, Caglar Demir, Axel-Cyrille Ngonga Ngomo, and Heike Wehrheim. “MLCHECK–Property-Driven Testing of Machine Learning Classifiers.” In Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, n.d.
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Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225. IADIS, 2021.
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Luo, Linghui, Felix Pauck, Goran Piskachev, Manuel Benz, Ivan Pashchenko, Martin Mory, Eric Bodden, Ben Hermann, and Fabio Massacci. “TaintBench: Automatic Real-World Malware Benchmarking of Android Taint Analyses.”https://doi.org/10.1007/s10664-021-10013-5__Empirical Software Engineering, 2021.https://doi.org/10.1007/s10664-021-10013-5 .
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Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.”https://doi.org/10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1.https://doi.org/10.1109/tpami.2021.3051276 .
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Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, n.d.
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Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” In Proceedings of the Genetic and Evolutionary Computation Conference, 2021.
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Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.”https://doi.org/10.1007/978-3-030-63787-3_6__In Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, edited by Roussanka Loukanova, 939:163--189. Studies in Computational Intelligence (SCI). Cham: Springer, 2021.https://doi.org/10.1007/978-3-030-63787-3_6 .
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Hüllermeier, Eyke, Felix Mohr, Alexander Tornede, and Marcel Dominik Wever. “Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,” 2021.
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Derrick, John, Simon Doherty, Brijesh Dongol, Gerhard Schellhorn, and Heike Wehrheim. “On Strong Observational Refinement and Forward Simulation.” In Proceedings of the 35th International Symposium on Distributed Computing (DISC). Leibniz International Proceedings in Informatics. Schloß Dagstuhl, n.d.
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Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” In Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), 275--284. Online: SCITEPRESS, 2021.
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Witschen, Linus Matthias, Tobias Wiersema, Masood Raeisi Nafchi, Arne Bockhorn, and Marco Platzner. “Timing Optimization for Virtual FPGA Configurations.”https://doi.org/10.1007/978-3-030-79025-7_4__In Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), edited by Frank Hannig, Steven Derrien, Pedro Diniz, and Daniel Chillet. Reconfigurable Computing: Architectures, Tools, and Applications. Springer Lecture Notes in Computer Science, n.d.https://doi.org/10.1007/978-3-030-79025-7_4 .
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Schubert, Philipp, Ben Hermann, and Eric Bodden. “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis.” In European Conference on Object-Oriented Programming (ECOOP), 2021.
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Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” ArXiv:2111.05850, 2021.
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Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” In Natural Language Processing and Information Systems, edited by Epaminondas Kapetanios, Helmut Horacek, Elisabeth Métais, and Farid Meziane, 12801:231--242. Lecture Notes in Computer Science. Saarbrücken, Germany: Springer, 2021.
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Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android App Analysis Tasks.”https://doi.org/10.1109/scam52516.2021.00031__In 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.https://doi.org/10.1109/scam52516.2021.00031 .
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Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223. Association for Computational Linguistics, 2021.
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Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled Neural Sentence-Level Reframing of News Articles.” In Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–93, 2021.
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Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”https://doi.org/10.18653/v1/2021.findings-acl.159__In 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), 1816–1827. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021.https://doi.org/10.18653/v1/2021.findings-acl.159 .
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Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021.
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Jakobs, Marie-Christine, Felix Pauck, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Software/Hardware Co-Verification for Custom Instruction Set Processors.”https://doi.org/10.1109/ACCESS.2021.3131213__IEEE Access, 2021.https://doi.org/10.1109/ACCESS.2021.3131213 .
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Pauck, Felix, and Heike Wehrheim. “Cooperative Android App Analysis with CoDiDroid.”https://doi.org/10.18420/SE2021_30 __In Software Engineering 2021, edited by Anne Koziolek, Ina Schaefer, and Christoph Seidl, 83–84. Bonn: Gesellschaft für Informatik e.V., 2021.https://doi.org/10.18420/SE2021_30  .
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Ahmed, Qazi Arbab. “Hardware Trojans in Reconfigurable Computing.”https://doi.org/10.1109/vlsi-soc53125.2021.9606974__In 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.https://doi.org/10.1109/vlsi-soc53125.2021.9606974 .
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Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Malicious Routing: Circumventing Bitstream-Level Verification for FPGAs.”https://doi.org/10.23919/DATE51398.2021.9474026__In 2021 Design, Automation &; Test in Europe Conference &; Exhibition (DATE). Alpexpo | Grenoble, France: 2021 Design, Automation and Test in Europe Conference (DATE), 2021.https://doi.org/10.23919/DATE51398.2021.9474026 .
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Schubert, Philipp, Ben Hermann, Eric Bodden, and Richard Leer. “Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++.” In SCAM ’21: IEEE International Working Conference on Source Code Analysis and Manipulation (Engineering Track), 2021.
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Schubert, Philipp, Florian Sattler, Fabian Schiebel, Ben Hermann, and Eric Bodden. “Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++.” In 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.
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Sharma, Arnab, and Heike Wehrheim. “Automatic Fairness Testing of Machine Learning Models.” In Proceedings of the 32th IFIP International Conference on Testing Software and Systems (ICTSS). LNCS. Springer, n.d.
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Bäumer, Frederik Simon, Joschka Kersting, Bianca Buff, and Michaela Geierhos. “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging.”https://doi.org/10.1007/978-3-030-59506-7_30__In Information and Software Technologies, edited by Lopata Audrius, Butkien Rita, Gudonien Daina, and Sukack Vilma, 1283:368--382. Communications in Computer and Information Science. Springer, 2020.https://doi.org/10.1007/978-3-030-59506-7_30 .
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Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Approximate Circuits.”https://doi.org/10.1109/TVLSI.2020.3008061__IEEE Transactions On Very Large Scale Integration Systems 28, no. 9 (2020): 2084–88.https://doi.org/10.1109/TVLSI.2020.3008061 .
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Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Extreme Algorithm Selection with Dyadic Feature Representation.” In Discovery Science, 2020.
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Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In KI 2020: Advances in Artificial Intelligence, 2020.
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Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “AutoML for Predictive Maintenance: One Tool to RUL Them All.”https://doi.org/10.1007/978-3-030-66770-2_8__In Proceedings of the ECMLPKDD 2020, 2020.https://doi.org/10.1007/978-3-030-66770-2_8 .
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Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.
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Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Towards Meta-Algorithm Selection.” In Workshop MetaLearn 2020 @ NeurIPS 2020, 2020.
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Schubert, Philipp, Eric Bodden, and Ben Hermann. Accelerating Static Call-Graph, Points-to and Data-Flow Analysis Through Persisted Summaries, 2020.
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Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020), n.d.
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Tornede, Alexander, Marcel Dominik Wever, Stefan Werner, Felix Mohr, and Eyke Hüllermeier. “Run2Survive: A Decision-Theoretic Approach to Algorithm Selection Based on Survival Analysis.” In ACML 2020, 2020.
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Sharma, Arnab, and Heike Wehrheim. “Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models.” In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM, n.d.
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Richter, Cedric, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. “Algorithm Selection for Software Validation Based on Graph Kernels.” Journal of Automated Software Engineering, n.d.
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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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Buff, Bianca, Joschka Kersting, and Michaela Geierhos. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), 630--637. Setúbal, Portugal: SCITEPRESS, 2020.
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Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification.” Springer, n.d.
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Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, 282--285. North Miami Beach, FL, USA: AAAI, 2020.
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Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.”https://doi.org/10.1162/evco_a_00266__Evolutionary Computation 28, no. 2 (2020): 165–193.https://doi.org/10.1162/evco_a_00266 .
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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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Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.”https://doi.org/10.1007/s12599-019-00627-x__Business &; Information Systems Engineering 62, no. 6 (2020): 467–81.https://doi.org/10.1007/s12599-019-00627-x .
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Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–54, 2020.
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Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–41, 2020.
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Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.
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Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. “Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020, 1309–19, 2020.
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Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Target Inference in Argument Conclusion Generation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–45. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020.
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Schneider, Stefan Balthasar, Arnab Sharma, Holger Karl, and Heike Wehrheim. “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.” In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), 116--124. Washington, DC, USA: IFIP, 2019.
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Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.”https://doi.org/10.1016/j.microrel.2019.04.003__Microelectronics Reliability 99 (2019): 277–90.https://doi.org/10.1016/j.microrel.2019.04.003 .
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Sharma, Arnab, and Heike Wehrheim. “Testing Balancedness of ML Algorithms.” In Proceedings of the Software Engineering Conference (SE), P-292:157–58. Lecture Notes in Informatics (LNI). Stuttgart: Gesellschaft für Informatik e.V. (GI), 2019.
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Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” In Encyclopedia.Pub. Basel, Switzerland: MDPI, 2019.
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Sharma, Arnab, and Heike Wehrheim. “Testing Machine Learning Algorithms for Balanced Data Usage.” In IEEE International Conference on Software Testing, Verification and Validation (ICST), 125--135. Xi’an, China: IEEE, 2019.
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Bäumer, Frederik Simon, Joschka Kersting, and Michaela Geierhos. “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches.”https://doi.org/10.3390/computers8010022__Computers 8, no. 1 (2019).https://doi.org/10.3390/computers8010022 .
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Wever, Marcel Dominik, Felix Mohr, Eyke Hüllermeier, and Alexander Hetzer. “Towards Automated Machine Learning for Multi-Label Classification,” 2019.
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Pauck, Felix, and Shikun Zhang. “Android App Merging for Benchmark Speed-Up and Analysis Lift-Up.”https://doi.org/10.1109/asew.2019.00019__In 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), 2019.https://doi.org/10.1109/asew.2019.00019 .
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Dann, Andreas, Ben Hermann, and Eric Bodden. “ModGuard: Identifying Integrity &;Confidentiality Violations in Java Modules.”https://doi.org/10.1109/tse.2019.2931331__IEEE Transactions on Software Engineering, 2019, 1–1.https://doi.org/10.1109/tse.2019.2931331 .
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Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.”https://doi.org/10.1016/j.jmva.2019.02.017__In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.https://doi.org/10.1016/j.jmva.2019.02.017 .
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Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 135–46. KIT Scientific Publishing, Karlsruhe, 2019.
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Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “From Automated to On-The-Fly Machine Learning.” In INFORMATIK 2019: 50 Jahre Gesellschaft Für Informatik – Informatik Für Gesellschaft, 273–74. INFORMATIK 2019, Lecture Notes in Informatics (LNI), Gesellschaft Für Informatik. Bonn: Gesellschaft für Informatik e.V., 2019.
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Beyer, Dirk, Marie-Christine Jakobs, Thomas Lemberger, and Heike Wehrheim. “Combining Verifiers in Conditional Model Checking via Reducers.”https://doi.org/10.18420/se2019-46__In Software Engineering and Software Management (SE/SWM 2019), Stuttgart, Germany, February 18-22, 2019, edited by Steffen Becker, Ivan Bogicevic, Georg Herzwurm, and Stefan Wagner, P-292:151--152. LNI. GI, 2019.https://doi.org/10.18420/se2019-46 .
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Richter, Cedric, and Heike Wehrheim. “PeSCo: Predicting Sequential Combinations of Verifiers - (Competition Contribution).”https://doi.org/10.1007/978-3-030-17502-3_19__In Tools and Algorithms for the Construction and Analysis of Systems - 25 Years of TACAS: TOOLympics, Held as Part of ETAPS 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings, Part III, edited by Dirk Beyer, Marieke Huisman, Fabrice Kordon, and Bernhard Steffen, 11429:229–33. Lecture Notes in Computer Science. Springer, 2019.https://doi.org/10.1007/978-3-030-17502-3_19 .
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Wever, Marcel Dominik, Felix Mohr, Alexander Tornede, and Eyke Hüllermeier. “Automating Multi-Label Classification Extending ML-Plan,” 2019.
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Schubert, Philipp, Ben Hermann, and Eric Bodden. “PhASAR: An Inter-Procedural Static Analysis Framework for C/C++.”https://doi.org/10.1007/978-3-030-17465-1_22__In Proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2019), Held as Part of the European Joint Conferences on Theory and Practice of Software (ETAPS 2019), II:393–410, 2019.https://doi.org/10.1007/978-3-030-17465-1_22 .
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Chen, Wei-Fan, Khalid Al-Khatib, Matthias Hagen, Henning Wachsmuth, and Benno Stein. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” In Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82, 2019.
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Pauck, Felix, and Heike Wehrheim. “Together Strong: Cooperative Android App Analysis.”https://doi.org/10.1145/3338906.3338915__In Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 374–84, 2019.https://doi.org/10.1145/3338906.3338915 .
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Isenberg, Tobias, Marie-Christine Jakobs, Felix Pauck, and Heike Wehrheim. “When Are Software Verification Results Valid for Approximate Hardware?”https://doi.org/10.1007/978-3-030-31157-5_1__In Tests and Proofs - 13th International Conference, TAP 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings, 3–20, 2019.https://doi.org/10.1007/978-3-030-31157-5_1 .
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Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan.”https://doi.org/10.1007/978-3-030-17227-5_10__In Applied Reconfigurable Computing, edited by Christian Hochberger, Brent Nelson, Andreas Koch, Roger Woods, and Pedro Diniz, 11444:127–36. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019.https://doi.org/10.1007/978-3-030-17227-5_10 .
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Schubert, Philipp, Richard Leer, Ben Hermann, and Eric Bodden. “Know Your Analysis: How Instrumentation Aids Understanding Static Analysis.”https://doi.org/10.1145/3315568.3329965__In Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019, 2019.https://doi.org/10.1145/3315568.3329965 .
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Mohr, Felix, Marcel Dominik Wever, Eyke Hüllermeier, and Amin Faez. “(WIP) Towards the Automated Composition of Machine Learning Services.”https://doi.org/10.1109/SCC.2018.00039__In SCC. San Francisco, CA, USA: IEEE, 2018.https://doi.org/10.1109/SCC.2018.00039 .
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Mohr, Felix, Theodor Lettmann, Eyke Hüllermeier, and Marcel Dominik Wever. “Programmatic Task Network Planning.” In Proceedings of the 1st ICAPS Workshop on Hierarchical Planning, 31–39. AAAI, 2018.
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