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10484 Publications


2022 | Conference Paper | LibreCat-ID: 46304
Prager, R. P., Seiler, M., Trautmann, H., & Kerschke, P. (2022). Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 3–17). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_1
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2022 | Conference Paper | LibreCat-ID: 46303
Pohl, J. S., Assenmacher, D., Seiler, M., Trautmann, H., & Grimme, C. (2022). Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. In for the Advancement of Artificial Intelligence (AAAI) Association (Ed.), Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM) (pp. 1–10). AAAI Press. https://doi.org/10.36190/2022.91
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2022 | Journal Article | LibreCat-ID: 46309
Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., & Trautmann, H. (2022). Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences, 12(8), 1–44. https://doi.org/10.3390/app12189094
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2022 | Conference Paper | LibreCat-ID: 46305
Rook, J., Trautmann, H., Bossek, J., & Grimme, C. (2022). On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In J. Fieldsend & M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 356–359–356–359). Association for Computing Machinery. https://doi.org/10.1145/3520304.3528998
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2022 | Conference Paper | LibreCat-ID: 46302
Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J., & Trautmann, H. (2022). BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 192–206). Springer International Publishing.
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2022 | Journal Article | LibreCat-ID: 28413 | OA
Farheen, H., Leuteritz, T., Linden, S., Myroshnychenko, V., & Förstner, J. (2022). Optimization of optical waveguide antennas for directive emission of light. Journal of the Optical Society of America B, 39(1), 83. https://doi.org/10.1364/josab.438514
LibreCat | Files available | DOI
 

2022 | Journal Article | LibreCat-ID: 29075
Alhaddad, S., Grynko, Y., Farheen, H., & Förstner, J. (2022). Numerical analysis of the coherent mechanism producing negative polarization at backscattering from systems of absorbing particles. Optics Letters, 47(1), 58. https://doi.org/10.1364/ol.444953
LibreCat | Files available | DOI
 

2022 | Journal Article | LibreCat-ID: 31329
Farheen, H., Yan, L.-Y., Quiring, V., Eigner, C., Zentgraf, T., Linden, S., Förstner, J., & Myroshnychenko, V. (2022). Broadband optical Ta2O5 antennas for directional emission of light. Optics Express, 30(11), 19288. https://doi.org/10.1364/oe.455815
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2022 | Journal Article | LibreCat-ID: 55280
Elsholtz, Ch., Klahn, B., & Technau, M. (2022). On polynomials with roots modulo almost all primes. Acta Arith., 205:3(3), 251–263. https://doi.org/10.4064/aa220407-9-7
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2022 | Conference Paper | LibreCat-ID: 55337
Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, & S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics (pp. 344–354). International Committee on Computational Linguistics.
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2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, M., Alshomary, M., & Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings of the 2022 Workshop on Figurative Language Processing.
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2022 | Conference Paper | LibreCat-ID: 35674
Fleischer, F. Y., Hüsing, S., Biehler, R., Podworny, S., & Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. International Association for Statistical Education. https://doi.org/10.52041/iase.icots11.t10e3
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2022 | Journal Article | LibreCat-ID: 35672
Fleischer, F. Y., Biehler, R., & Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal, 21(2), Article 7. https://doi.org/10.52041/serj.v21i2.61
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2022 | Journal Article | LibreCat-ID: 34716
Terhörst, P., Kolf, J. N., Huber, M., Kirchbuchner, F., Damer, N., Moreno, A. M., Fierrez, J., & Kuijper, A. (2022). A Comprehensive Study on Face Recognition Biases Beyond Demographics. IEEE Transactions on Technology and Society, 3(1), 16–30. https://doi.org/10.1109/TTS.2021.3111823
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2022 | Conference Paper | LibreCat-ID: 34710
Huber, M., Terhörst, P., Luu, A. T., Kirchbuchner, F., & Damer, N. (2022). Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition. 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, 938–944. https://doi.org/10.1109/ICPR56361.2022.9956452
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2022 | Journal Article | LibreCat-ID: 34709
Roig, D. O., Rathgeb, C., Drozdowski, P., Terhörst, P., Struc, V., & Busch, C. (2022). An Attack on Facial Soft-Biometric Privacy Enhancement. IEEE Trans. Biom. Behav. Identity Sci., 4(2), 263–275. https://doi.org/10.1109/TBIOM.2022.3172724
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2022 | Book Chapter | LibreCat-ID: 35638
Graefe, G., & Temmen, K. (2022). Von der Präsenz-Blockveranstaltung zum Blended Learning-Konzept. In Hochschullehre erforschen. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-34185-5_7
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2022 | Journal Article | LibreCat-ID: 37470
Liebendörfer, M., Kempen, L., & Schukajlow, S. (2022). First-year university students’ self-regulated learning during the COVID-19 pandemic: a qualitative longitudinal study. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-022-01444-5
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2022 | Journal Article | LibreCat-ID: 37472
Büdenbender-Kuklinski, C., Hochmuth, R., & Liebendörfer, M. (2022). Exploring the Perceived Relevance of University Mathematics Studies by First-Semester Teaching Students. International Journal of Research in Undergraduate Mathematics Education. https://doi.org/10.1007/s40753-022-00188-7
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2022 | Dissertation | LibreCat-ID: 34041
Witschen, L. M. (2022). Frameworks and Methodologies for Search-based Approximate Logic Synthesis. https://doi.org/10.17619/UNIPB/1-1649
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