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727 Publications
2019 | Journal Article | LibreCat-ID: 13284
Hannes, W.-R., & Meier, T. (2019). Higher-order contributions and nonperturbative effects in the nondegenerate nonlinear optical absorption of semiconductors using a two-band model. Physical Review B, 99(12), Article 125301. https://doi.org/10.1103/physrevb.99.125301
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| DOI
2019 | Journal Article | LibreCat-ID: 13365 | 
Neufeld, S., Bocchini, A., Gerstmann, U., Schindlmayr, A., & Schmidt, W. G. (2019). Potassium titanyl phosphate (KTP) quasiparticle energies and optical response. Journal of Physics: Materials, 2, 045003. https://doi.org/10.1088/2515-7639/ab29ba
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| DOI
| WoS
2019 | Journal Article | LibreCat-ID: 13900
Song, X., Zuo, R., Yang, S., Li, P., Meier, T., & Yang, W. (2019). Attosecond temporal confinement of interband excitation by intraband motion. Optics Express, 27(3), 2225–2234. https://doi.org/10.1364/oe.27.002225
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| DOI
2019 | Journal Article | LibreCat-ID: 13283
Duc, H. T., Ngo, C., & Meier, T. (2019). Ballistic photocurrents in semiconductor quantum wells caused by the excitation of asymmetric excitons. Physical Review B, 100(4), Article 045308. https://doi.org/10.1103/physrevb.100.045308
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| DOI
2019 | Journal Article | LibreCat-ID: 13429 |
Bocchini, A., Neufeld, S., Gerstmann, U., & Schmidt, W. G. (2019). Oxygen and potassium vacancies in KTP calculated from first principles. Journal of Physics: Condensed Matter, 31, 385401. https://doi.org/10.1088/1361-648x/ab295c
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2019 | Journal Article | LibreCat-ID: 21
Richters, D., Lass, M., Walther, A., Plessl, C., & Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585. https://doi.org/10.4208/cicp.OA-2018-0053
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| DOI
| arXiv
2019 | Conference Paper | LibreCat-ID: 15794 |
Ebbers, J., & Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. DCASE2019 Workshop, New York, USA.
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2019 | Conference Paper | LibreCat-ID: 15796 |
Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., & Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies.
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2019 | Journal Article | LibreCat-ID: 16315
Schoch, A., Burkhardt, L., Schoch, R., Stührenberg, K., & Bauer, M. (2019). Hard X-ray spectroscopy: an exhaustive toolbox for mechanistic studies (?). Faraday Discussions, 113–132. https://doi.org/10.1039/c9fd00070d
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| DOI
2019 | Conference Abstract | LibreCat-ID: 15249
Grabo, M., Staggenborg, C., & Kenig, E. (2019). Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen. Wärmeübertragung mit Phasenwechsel in fluiden Systemen: Ein Update, Paderborn.
LibreCat
2018 | Preprint | LibreCat-ID: 19524
Pfannschmidt, K., Gupta, P., & Hüllermeier, E. (2018). Deep Architectures for Learning Context-dependent Ranking Functions. ArXiv:1803.05796.
LibreCat
2018 | Conference Abstract | LibreCat-ID: 19868
Camberg, A. A., Tröster, T., Sotirov, N., Tölle, J., & Bohner, F. (2018). Investigation of ductility and damage characteristics of EN AW-5182 H18 at non-isothermal forming conditions. In Materials Science and Engineering (MSE) Congress 2018. Darmstadt.
LibreCat
2018 | Journal Article | LibreCat-ID: 20
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
| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 3510 |
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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2018 | Preprint | LibreCat-ID: 3586
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).
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2018 | Conference Paper | LibreCat-ID: 3588
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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2018 | Preprint | LibreCat-ID: 1165
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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2018 | Conference Paper | LibreCat-ID: 2109 |
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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2018 | Preprint | LibreCat-ID: 17713 |
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Automated Multi-Label Classification based on ML-Plan. Arxiv.
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2018 | Preprint | LibreCat-ID: 17714 |
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). Automated machine learning service composition.
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