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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Pauck, Felix. Cooperative Android App Analysis. Paderborn University, 2023.https://doi.org/10.17619/UNIPB/1-1698 .
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Kersting, Joschka. Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Neubiberg: Universität der Bundeswehr München , 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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Tornede, Alexander. Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.https://doi.org/10.17619/UNIPB/1-1780  .
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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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König, Jürgen. On the Membership and Correctness Problem for State Serializability and Value Opacity, 2023.
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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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arXiv: 2210.17341

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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Fehring, Lukas. Combined Ranking and Regression Trees for Algorithm Selection. Paderborn, 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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arXiv: 2109.06234

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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arXiv: 2107.09414

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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Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based Approximate Logic Synthesis, 2022.https://doi.org/10.17619/UNIPB/1-1649 .
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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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Ahmed, Mobeen. Knowledge Base Enhanced &; User-Centric Dialogue Design for OTF Computing, 2022.
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Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022.
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Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation Frames, 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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Wiersema, Tobias. Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware. Paderborn: Paderborn University, 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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Schott, Stefan. Android App Analysis Benchmark Case Generation. Paderborn, 2021.
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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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