L. Afroze, S. Merkelbach, S. von Enzberg, and R. Dumitrescu, “Domain Knowledge Injection Guidance for Predictive Maintenance,” presented at the ML4CPS – Machine Learning For Cyber-Physical Systems, Hamburg, 2024.
LibreCat: /record/49354

C. Offen and S. Ober-Blöbaum, “Learning of discrete models of variational PDEs from data,”10.1063/5.0172287__Chaos, vol. 34, no. 1, Art. no. 013104, 2024, doi:10.1063/5.0172287 .
LibreCat: /record/46469
DOI: 10.1063/5.0172287
arXiv: 2308.05082 

K. S. Weber et al., “Association of dietary patterns with diabetes-related comorbidities varies among diabetes endotypes,”10.1016/j.numecd.2023.12.026__Nutrition, Metabolism and Cardiovascular Diseases, 2024, doi:10.1016/j.numecd.2023.12.026 .
LibreCat: /record/50740
DOI: 10.1016/j.numecd.2023.12.026

S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S. L. Brunton, and K. Taira, “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning,”10.1016/j.physd.2024.134096__Physica D: Nonlinear Phenomena, vol. 461, p. 134096, 2024, doi:10.1016/j.physd.2024.134096 .
LibreCat: /record/40171
DOI: 10.1016/j.physd.2024.134096

V. Vanita et al., “Insights into the First Multi-Transition-Metal Containing Ruddlesden Popper-Type Cathode for all-solid-state Fluoride Ion Batteries,”10.1039/d4ta00704b__Journal of Materials Chemistry A, 2024, doi:10.1039/d4ta00704b .
LibreCat: /record/52346
DOI: 10.1039/d4ta00704b

S. E. Otto, S. Peitz, and C. W. Rowley, “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories,”10.1137/22M1523601__SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, pp. 885–923, 2024, doi:10.1137/22M1523601 .
LibreCat: /record/33461
DOI: 10.1137/22M1523601
arXiv: 2209.09977

A. Buyken and L. Libuda, “Ernährung und Alltagsbewältigung - Ein Spannungsfeld für Individuum, Haushalt und Gesellschaft,” DGEwissen, 2024.
LibreCat: /record/52712

L. Hu, I. Habernal, L. Shen, and D. Wang, “Differentially Private Natural Language Models: Recent Advances and Future Directions,” in Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, 2024, pp. 478–499.
LibreCat: /record/52827

T. Igamberdiev, D. N. L. Vu, F. Kuennecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially Private Machine Translation,” in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2024, pp. 94–105.
LibreCat: /record/52842

M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,”10.1609/aaai.v38i13.29352__Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 13, pp. 14388–14396, 2024, doi:10.1609/aaai.v38i13.29352 .
LibreCat: /record/53073
DOI: 10.1609/aaai.v38i13.29352

K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented at the The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece, 2024.
LibreCat: /record/53095

M. Kuschel, T. Hasija, and T. Marrinan, “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning,”10.1109/icassp48485.2024.10446173__2024, doi:10.1109/icassp48485.2024.10446173 .
LibreCat: /record/53304
DOI: 10.1109/icassp48485.2024.10446173

L. Höper and C. Schulte, “Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies,”10.15388/infedu.2024.19__Informatics in Education, 2024, doi:10.15388/infedu.2024.19 .
LibreCat: /record/53622
DOI: 10.15388/infedu.2024.19

E. Hohoff et al., “The association between dairy intake in adolescents with inflammation and risk markers of type 2 diabetes during young adulthood – results of the DONALD study,”10.1017/s1368980024000624__Public Health Nutrition, pp. 1–26, 2024, doi:10.1017/s1368980024000624 .
LibreCat: /record/52713
DOI: 10.1017/s1368980024000624

H. Harder and S. Peitz, “Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.” .
LibreCat: /record/53793

H. Harder and S. Peitz, “On the continuity and smoothness of the value function in reinforcement learning and optimal control.” 2024.
LibreCat: /record/52758

C. Offen, “Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification.” .
LibreCat: /record/53805
arXiv: arXiv:2404.19626

E. Yigitbas, M. Schmidt, A. Bucchiarone, S. Bassanelli, and G. Engels, “Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling,” 2024.
LibreCat: /record/53814

A. Treder, “Métodos de la mediación de cultura en el entrenamiento práctico de futuros/as profesores/as de Alemán como Lengua Extranjera,”https://doi.org/10.29057/lc.v5i10.12379__Revista Lengua y Cultura, vol. 5, no. 10, pp. 56–68, 2024, doi:https://doi.org/10.29057/lc.v5i10.12379 .
LibreCat: /record/51270
DOI: https://doi.org/10.29057/lc.v5i10.12379

J. Akhter, P. D. Fährmann, K. Sonntag, and S. Peitz, “Common pitfalls to avoid while using multiobjective optimization in machine learning,” arXiv. 2024.
LibreCat: /record/53858