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146 Publications


2021 | Journal Article | LibreCat-ID: 21004
Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276
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2021 | Journal Article | LibreCat-ID: 21092
Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (n.d.). Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.
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2021 | Conference Paper | LibreCat-ID: 21198
Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021). Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Presented at the The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India.
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2021 | Journal Article | LibreCat-ID: 21597
Holzinger, P., & Bodden, E. (2021). A Systematic Hardening of Java’s Information Hiding. International Symposium on Advanced Security on Software and Systems (ASSS).
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2021 | Journal Article | LibreCat-ID: 21598
Schubert, P., Hermann, B., & Bodden, E. (2021). Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis. European Conference on Object-Oriented Programming (ECOOP).
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2021 | Journal Article | LibreCat-ID: 21599
Bonifacio, R., Krüger, S., Narasimhan, K., Bodden, E., & Mezini, M. (2021). Dealing with Variability in API Misuse Specification. European Conference on Object-Oriented Programming (ECOOP).
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2021 | Journal Article | LibreCat-ID: 21595
Stockmann, L., Laux, S., & Bodden, E. (2021). Using Architectural Runtime Verification for Offline Data Analysis. Journal of Automotive Software Engineering. https://doi.org/10.2991/jase.d.210205.001
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2021 | Dissertation | LibreCat-ID: 21596
Fischer, A. (2021). Computing on Encrypted Data using Trusted Execution Environments. Universität Paderborn.
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2020 | Dissertation | LibreCat-ID: 20513
Krüger, S. (2020). CogniCrypt -- The Secure Integration of Cryptographic Software. Universitaetsbibliothek Paderborn.
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2020 | Conference Paper | LibreCat-ID: 17407
Tornede, A., Wever, M. D., & Hüllermeier, E. (2020). Extreme Algorithm Selection with Dyadic Feature Representation. In Discovery Science.
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2020 | Conference Paper | LibreCat-ID: 20518
Koch, T., Dziwok, S., Holtmann, J., & Bodden, E. (2020). Scenario-based Specification of Security Protocols and Transformation to Security Model Checkers. In ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS ’20). ACM. https://doi.org/10.1145/3365438.3410946
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2020 | Conference Paper | LibreCat-ID: 17408
Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2020). Hybrid Ranking and Regression for Algorithm Selection. In KI 2020: Advances in Artificial Intelligence.
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2020 | Preprint | LibreCat-ID: 17605
Heid, S. H., Wever, M. D., & Hüllermeier, E. (n.d.). Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. Journal of Data Mining and Digital Humanities. episciences.
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2020 | Journal Article | LibreCat-ID: 20507
Geismann, J., & Bodden, E. (2020). A systematic literature review of model-driven security engineering for cyber–physical systems. Journal of Systems and Software, 169, 110697. https://doi.org/10.1016/j.jss.2020.110697
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2020 | Dissertation | LibreCat-ID: 20521
Gerking, C. (2020). Model-Driven Information Flow Security Engineering for Cyber-Physical Systems. Paderborn University. https://doi.org/10.17619/UNIPB/1-1033
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2020 | Conference Paper | LibreCat-ID: 15629
Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (n.d.). LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. Presented at the Symposium on Intelligent Data Analysis, Konstanz, Germany: Springer.
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2020 | Conference Paper | LibreCat-ID: 20306
Tornede, A., Wever, M. D., & Hüllermeier, E. (2020). Towards Meta-Algorithm Selection. In Workshop MetaLearn 2020 @ NeurIPS 2020. Online.
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2020 | Conference Paper | LibreCat-ID: 20510
Benz, M., Krogh Kristensen, E., Luo, L., P. Borges Jr., N., Bodden, E., & Zeller, A. (2020). Heaps’n Leaks: How Heap Snapshots Improve Android Taint Analysis. In International Conference for Software Engineering (ICSE).
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2020 | Journal Article | LibreCat-ID: 20508
Nguyen Quang Do, L., & Bodden, E. (2020). Explaining Static Analysis with Rule Graphs. IEEE Transactions on Software Engineering.
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2020 | Book Chapter | LibreCat-ID: 20515
Gräßler, I., Bodden, E., Pottebaum, J., Geismann, J., & Roesmann, D. (2020). Security-Oriented Fault-Tolerance in Systems Engineering: A Conceptual Threat Modelling Approach for Cyber-Physical Production Systems. In Advances in Intelligent Systems and Computing. Cham. https://doi.org/10.1007/978-3-030-50936-1_121
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