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2182 Publications
2020 | Bachelorsthesis | LibreCat-ID: 20820
Thiele, S. (2020). Implementing Machine Learning Functions as PYNQ FPGA Overlays.
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2020 | Journal Article | LibreCat-ID: 20834
Webb, M. E., Fluck, A., Magenheim, J., Malyn-Smith, J., Waters, J., Deschênes , M., & Zagami, J. (2020). Machine learning for human learners: opportunities, issues, tensions and threats. Educational Technology Research and Development, 1–22. https://doi.org/10.1007/s11423-020-09858-2
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2020 | Conference Paper | LibreCat-ID: 20854 | 
Camberg, A. A., & Tröster, T. (2020). A simplified method for the evaluation of the layer compression test using one 3D digital image correlation system and considering the material anisotropy by the equibiaxial Lankford parameter. Presented at the International Deep-Drawing Research Group (IDDRG 2020), Seoul, South Korea. https://doi.org/10.1088/1757-899X/967/1/012077
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2020 | Book Chapter | LibreCat-ID: 18014
El Mesaoudi-Paul, A., Weiß, D., Bengs, V., Hüllermeier, E., & Tierney, K. (2020). Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach. In Learning and Intelligent Optimization. LION 2020. (Vol. 12096, pp. 216–232). Cham: Springer. https://doi.org/10.1007/978-3-030-53552-0_22
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2020 | Conference Paper | LibreCat-ID: 18249 |
Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). Model-based Product Configuration in Augmented Reality Applications. In R. Bernhaupt, C. Ardito, & S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol. 12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_5
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2020 | Conference Paper | LibreCat-ID: 18276
Tornede, A., Wever, M. D., Werner, S., Mohr, F., & Hüllermeier, E. (2020). Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML 2020. 12th Asian Conference on Machine Learning, Bangkok, Thailand.
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2020 | Journal Article | LibreCat-ID: 21896
Rumlich, D. (2020). Bilingual education in monolingual contexts: a comparative perspective. The Language Learning Journal, 48(1), 115–119. https://doi.org/10.1080/09571736.2019.1696879
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2020 | Conference Paper | LibreCat-ID: 16724
Sharma, A., & Wehrheim, H. (n.d.). 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.
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2020 | Conference Paper | LibreCat-ID: 16947
Weinzierl, S., Wolf, V., Pauli, T., Beverungen, D., & Matzner, M. (2020). Detecting Workarounds in Business Processes — A Deep Learning Method for Analyzing Event Logs. In Proceedings of the 28th European Conference on Information Systems. Marrakech, Morroco.
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2020 | Conference Paper | LibreCat-ID: 16968
Braun, M., Castenow, J., & Meyer auf der Heide, F. (2020). Local Gathering of Mobile Robots in Three Dimensions. In Proceedings of the 27th Conference on Structural Information and Communication Complexity (SIROCCO). Paderborn: Springer. https://doi.org/10.1007/978-3-030-54921-3_4
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2020 | Working Paper | LibreCat-ID: 17019 |
Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.
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2020 | Conference Paper | LibreCat-ID: 17063
Hansmeier, T., Kaufmann, P., & Platzner, M. (2020). An Adaption Mechanism for the Error Threshold of XCSF. GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1756–1764. https://doi.org/10.1145/3377929.3398106
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2020 | Conference Paper | LibreCat-ID: 15580
Kersting, J., & Geierhos, M. (2020). 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) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.
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2020 | Journal Article | LibreCat-ID: 15628
Xu, X., Port, A., Wiebeler, C., Zhao, K.-H., Schapiro, I., & Gärtner, W. (2020). Structural Elements Regulating the Photochromicity in a Cyanobacteriochrome. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1910208117
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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. Symposium on Intelligent Data Analysis, Konstanz, Germany.
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2020 | Conference Paper | LibreCat-ID: 15635
Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.
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2020 | Journal Article | LibreCat-ID: 15025
Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266
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2020 | Conference Paper | LibreCat-ID: 16219 |
Schneider, S. B., Satheeschandran, N. P., Peuster, M., & Karl, H. (2020). Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium: IEEE.
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2020 | Journal Article | LibreCat-ID: 16280
Li, F., Yu, D., Yang, H., Yu, J., Karl, H., & Cheng, X. (2020). Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey. IEEE Wireless Communications, 24–30. https://doi.org/10.1109/mwc.001.1900280
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2020 | Journal Article | LibreCat-ID: 16288
Klus, S., Nüske, F., Peitz, S., Niemann, J.-H., Clementi, C., & Schütte, C. (2020). Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena, 406. https://doi.org/10.1016/j.physd.2020.132416
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