Pfannschmidt, K., Gupta, P., &; Hüllermeier, E. (2018). Deep Architectures for Learning Context-dependent Ranking Functions. ArXiv:1803.05796.
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Camberg, A. A., Tröster, T., Sotirov, N., Tölle, J., &; Bohner, F. (2018). Investigation of ductility and damage characteristics of EN AW-5182  at non-isothermal forming conditions. In Materials Science and Engineering (MSE) Congress 2018. Darmstadt.
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Lass, M., Kühne, T., &; Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36.https://doi.org/10.1109/LES.2017.2760923 
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

Mohr, F., Wever, M. D., &; Hüllermeier, E. (2018). ML-Plan: Automated Machine Learning via Hierarchical Planning. Machine Learning, 1495–1515.https://doi.org/10.1007/s10994-018-5735-z 
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DOI: 10.1007/s10994-018-5735-z

Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., &; Platzner, M. (n.d.). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Third Workshop on Approximate Computing (AxC 2018).
LibreCat: /record/3586

Afzal, A., Schmitt, C., Alhaddad, S., Grynko, Y., Teich, J., Förstner, J., &; Hannig, F. (2018). Solving Maxwell’s Equations with Modern C++ and SYCL: A Case Study. In Proceedings of the 29th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) (pp. 49–56).https://doi.org/10.1109/ASAP.2018.8445127 
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DOI: 10.1109/ASAP.2018.8445127

Witschen, L. M., Wiersema, T., &; Platzner, M. (2018). Making the Case for Proof-carrying Approximate Circuits. 4th Workshop On Approximate Computing (WAPCO 2018).
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Wever, M. D., Mohr, F., &; Hüllermeier, E. (2018). Ensembles of Evolved Nested Dichotomies for Classification. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto, Japan: ACM.https://doi.org/10.1145/3205455.3205562 
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DOI: 10.1145/3205455.3205562

Wever, M. D., Mohr, F., &; Hüllermeier, E. (2018). Automated Multi-Label Classification based on ML-Plan. Arxiv.
LibreCat: /record/17713

Mohr, F., Wever, M. D., &; Hüllermeier, E. (2018). Automated machine learning service composition.
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Zibart, A., &; Kenig, E. (2018). FALLING LIQUID FILM FLOW OVER THE WAVY SURFACE OF VERTICAL PILLOW PLATEShttps://doi.org/10.1615/IHTC16.mpf.024081__A NUMERICAL INVESTIGATION. Presented at thehttps://doi.org/10.1615/IHTC16.mpf.024081__International Heat Transfer Conference 16, Beijing, China.https://doi.org/10.1615/IHTC16.mpf.024081 
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DOI: 10.1615/IHTC16.mpf.024081

Zibart, A., &; Kenig, E. (2018). Numerische Untersuchung der gravitationsgetriebenen Filmströmung auf der welligen Oberfläche von Kissenplattenwärmeübertragern. Presented at the Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stoffübertragung, Bremen.
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Grynko, Y., &; Förstner, J. (2018). Application of the Discontinuous Galerkin Time Domain Method in Nonlinear Nanoplasmonics. In 2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET). IEEE.https://doi.org/10.1109/mmet.2018.8460261 
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DOI: 10.1109/mmet.2018.8460261

Beermann, D., Dellnitz, M., Peitz, S., &; Volkwein, S. (2018). Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition. In Reduced-Order Modeling (ROM) for Simulation and Optimization (pp. 47–72). Cham.https://doi.org/10.1007/978-3-319-75319-5_3 
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Klus, S., Gelß, P., Peitz, S., &; Schütte, C. (2018). Tensor-based dynamic mode decomposition. Nonlinearity, 31(7), 3359–3380.https://doi.org/10.1088/1361-6544/aabc8f 
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DOI: 10.1088/1361-6544/aabc8f

Beermann, D., Dellnitz, M., Peitz, S., &; Volkwein, S. (2018). POD-based multiobjective optimal control of PDEs with non-smooth objectives. In PAMM (pp. 51–54).https://doi.org/10.1002/pamm.201710015 
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DOI: 10.1002/pamm.201710015

Johannesmann, S., Düchting, J., Webersen, M., Claes, L., &; Henning, B. (2018). An acoustic waveguide-based approach to the complete characterisation of linear elastic, orthotropic material behaviour. Tm - Technisches Messen, 2018(85), 478–486.https://doi.org/10.1515/teme-2017-0132 
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DOI: 10.1515/teme-2017-0132

Johannesmann, S., Brockschmidt, T., Rump, F., Webersen, M., Claes, L., &; Henning, B. (2018). Acoustic material characterization of prestressed, plate-shaped specimens. In Sensoren und Messsysteme (pp. 231–234). VDE Verlag GmbH.
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Webersen, M., Johannesmann, S., Düchting, J., Claes, L., &; Henning, B. (2018). Guided ultrasonic waves for determining effective orthotropic material parameters of continuous-fiber reinforced thermoplastic plates. Ultrasonics, 84, 53–62.https://doi.org/10.1016/j.ultras.2017.10.005 
LibreCat: /record/6577
DOI: 10.1016/j.ultras.2017.10.005

Webersen, M., Johannesmann, S., Düchting, J., Claes, L., &; Henning, B. (2018). Akustische Charakterisierung der richtungsabhängigen elastischen Eigenschaften faserverstärkter Kunststoffe. In Fortschritte der Akustik - DAGA 2018 (pp. 1263–1266).
LibreCat: /record/6578