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Lohse, J. (2022). Lattice Revocation Mechanisms.
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Hammer, B., Hüllermeier, E., Lohweg, V., Schneider, A., Schenck, W., Kuhl, U., Braun, M., Pfeifer, A., Holst, C.-A., Schmidt, M., Schomaker, G., &; Tornede, T. (2022). Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens.https://doi.org/10.4119/unibi/2965622 
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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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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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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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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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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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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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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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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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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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Huhmann, T., Eilerts, K., &; Winkelnkemper, F. (2022). Pentomino Digital - Mit Einer App Geometrie Lernen. Mathematik Differenziert, 4–2022, 42–45.
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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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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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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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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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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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Eidens, F. (2022). Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials.https://doi.org/10.17619/UNIPB/1-1653 
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Karakaya, K., Yigitbas, E., &; Engels, G. (2022). Automated UX Evaluation for User-Centered Design of VR Interfaces. Proceedings of the 9th International Working Conference on Human-Centered Software Engineering (HCSE’22).
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