Dieter, P., Caron, M., &; Schryen, G. (2023). Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. European Journal of Operational Research (EJOR), 311(1), 283–300.https://doi.org/10.1016/j.ejor.2023.04.043 
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Hotegni, S. S., Mahabadi, S., &; Vakilian, A. (n.d.). Approximation Algorithms for Fair Range Clustering. Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023. International Conference on Machine Learning, Honolulu, Hawaii, USA.
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Jonas-Ahrend, G., Vernholz, M., &; Temmen, K. (2023). Teaching Technologies: Continuous Interplay Between Educational and Industrial Advances. In C. J. Craig, J. Mena, &; R. G. Kane (Eds.), Teacher Education in the Wake of Covid-19  (Vol. 41, pp. 175–191). Emerald Publishing Limited.https://doi.org/10.1108/s1479-368720230000041019 
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Dannheim, I., Buyken, A., &; Kroke, A. (2023). Work-related stressors and coping behaviors among leaders in small and medium-sized IT and technological services enterprises. BMC Public Health, 23(1), Article 700.https://doi.org/10.1186/s12889-023-15581-3 
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Schulte, E. A., Winkler, G., Brombach, C., &; Buyken, A. (2023). Choice architecture interventions promoting sustained healthier food choice and consumption by students in a secondary school setting: A systematic review of intervention studies. Public Health Nutrition, 1–23.https://doi.org/10.1017/s1368980023001118 
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Kranz, R.-M., Kettler, C., Anand, C., Koeder, C., Husain, S., Schoch, N., Buyken, A., &; Englert, H. (2023). Effect of a controlled lifestyle intervention on medication use and costs: The Healthy Lifestyle Community Program (cohort 2). Nutrition and Health, Article 026010602311646.https://doi.org/10.1177/02601060231164665 
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Libuda, L., Filipiak-Pittroff, B., Standl, M., Schikowski, T., von Berg, A., Koletzko, S., Bauer, C.-P., Heinrich, J., Berdel, D., &; Gappa, M. (2023). Full Breastfeeding and Allergic Diseases—Long-Term Protection or Rebound Effects? Nutrients, 15(12), Article 2780.https://doi.org/10.3390/nu15122780 
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DOI: 10.3390/nu15122780

Nguyen, D. A., Levie, R., Lienen, J., Kutyniok, G., &; Hüllermeier, E. (2023). Memorization-Dilation: Modeling Neural Collapse Under Noise. International Conference on Learning Representations, ICLR. International Conference on Learning Representations, ICLR, Kigali, Ruanda.
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Lienen, J., &; Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
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KOUAGOU, N. J., Heindorf, S., Demir, C., &; Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, &; S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023) (Vol. 13870, pp. 209–226). Springer International Publishing.https://doi.org/10.1007/978-3-031-33455-9_13 
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Lienen, J., &; Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
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arXiv: 2305.13764

Kersting, J. (2023). Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München .
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Lienen, J., &; Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
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arXiv: 2305.13764

Kersting, J., &; Geierhos, M. (2023). Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, &; C. Quix (Eds.), Data Management Technologies and Applications (Vol. 1860, pp. 45–65). Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-37890-4_3 
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Weber, D., Schenke, M., &; Wallscheid, O. (2023). Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems. IEEE Access, 11, 76524–76536.https://doi.org/10.1109/access.2023.3297274 
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Weber, D., Schenke, M., &; Wallscheid, O. (2023). Safe Reinforcement Learning-Based Control in Power Electronic Systems. 2023 International Conference on Future Energy Solutions (FES).https://doi.org/10.1109/fes57669.2023.10182718 
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Birner, R., Linseisen, J., Arens-Azevedo, U., Balmann, A., Biesalski, H. K., Bosy-Westphal, A., Buyken, A., Döring, T., Feindt, P., Götz, K.-U., Iweala, S., Martínez, J., Nieberg, H., Nöthlings, U., Pischetsrieder, M., Renner, B., Spiller, A., Voget-Kleschin, L., Weingarten, P.,https://doi.org/10.12767/BUEL.VI236.468__Wieck, C. (2023). Ernährungsarmut unter Pandemiebedingungen. Berichte Über Landwirtschaft.https://doi.org/10.12767/BUEL.VI236.468 
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DOI: 10.12767/BUEL.VI236.468

Renner, B., Buyken, A., Gedrich, K., Lorkowski, S., Watzl, B., Linseisen, J., Daniel, H., Conrad, J., Ferrario, P. G., Holzapfel, C., Leitzmann, M., Richter, M., Simon, M.-C., Sina, C., &; Wirsam, J. (2023). Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems. Advances in Nutrition.https://doi.org/10.1016/j.advnut.2023.06.009 
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DOI: 10.1016/j.advnut.2023.06.009

Demir, C., &; Ngonga Ngomo, A.-C. (2023). Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras. ECML-PKDD. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino.
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Demir, C., &; Ngonga Ngomo, A.-C. (2023). Neuro-Symbolic Class Expression Learning. International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence IJCAI 2023, Macau.
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