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5950 Publications


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 | 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 | 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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2022 | Conference Paper | LibreCat-ID: 37554
Asmar, L., Grigoryan, K., Kuhn, A., & Dumitrescu, R. (2022). Survey on methods for early prototyping and validation of technical product ideas. 2022 IEEE 20th International Conference on Industrial Informatics (INDIN). https://doi.org/10.1109/indin51773.2022.9976130
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2022 | Conference Paper | LibreCat-ID: 37550
Kaiser, L., Schräder, E., Bernijazov, R., Foullois, M., & Dumitrescu, R. (2022). Ein Ansatz zur Strukturierung von KI-Assistenzen im Model-Based Systems Engineering. In W. Koch, D. Wilke, S. Dreiseitel, R. Kaffenberger, & Gesellschaft für Systems Engineering e.V. (Eds.), Tag des Systems Engineering.
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2022 | Conference Paper | LibreCat-ID: 38158
Winkelnkemper, F., Huhmann, T., Bechinie, D., Eilerts, K., Lenke, M., & Schulte, C. (2022). Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities. Society for Information Technology & Teacher Education International Conference, 1407–1413.
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2022 | Book Chapter | LibreCat-ID: 39080
Schulte, C., & Winkelnkemper, F. (2022). Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik. In Theologie im Übergang - Identität - Digitalisierung - Dialog (pp. 117–135). Herder.
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2022 | Conference Paper | LibreCat-ID: 38160
Huhmann, T., & Winkelnkemper, F. (2022). SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. EDULEARN22 Proceedings, 10017–10026. https://doi.org/10.21125/edulearn.2022.2416
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2022 | Journal Article | LibreCat-ID: 38162
Huhmann, T., Eilerts, K., & Winkelnkemper, F. (2022). Pentomino Digital - Mit Einer App Geometrie Lernen. Mathematik Differenziert, 4–2022, 42–45.
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2022 | Journal Article | LibreCat-ID: 34617
Huber, M., Terhörst, P., Kirchbuchner, F., Damer, N., & Kuijper, A. (2022). Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition. 33nd British Machine Vision Conference 2022. https://doi.org/10.48550/ARXIV.2210.10354
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2022 | Conference Paper | LibreCat-ID: 40510
Podworny, S., Fleischer, Y., & Hüsing, S. (2022). Grade 6 Students’ Perception and Use of Data-Based Decision Trees. Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. https://doi.org/10.52041/iase.icots11.t2h3
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2022 | Conference Paper | LibreCat-ID: 30937
Hüsing, S., & Podworny, S. (2022). Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School. Proceedings of the IASE 2021 Satellite Conference. https://doi.org/10.52041/iase.zwwoh
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2022 | Conference Paper | LibreCat-ID: 41164
Kirchhoff, J., Weidmann, N., Sauer, S., & Engels, G. (2022). Situational Development of Low-Code Applications in Manufacturing Companies. Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. https://doi.org/10.1145/3550356.3561560
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2022 | Conference Paper | LibreCat-ID: 41134
Gottschalk, S., Bhat, R., Weidmann, N., Kirchhoff, J., & Engels, G. (2022). Low-code experimentation on software products. Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. https://doi.org/10.1145/3550356.3561572
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