C. Koldewey et al., “Exploring Capabilities for the Smart Service Transformation in Manufacturing: Insights from Theory and Practice,” presented at the Hawaii International Conference on System Sciences, Hawaii, 2024.
LibreCat: /record/48632

F. Herbert et al., “Digital Security -- A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups,”10.48550/arXiv.2212.12964__IEEE Symposium on Security and Privacy. IEEE, New York, NY, USA, 2024, doi:10.48550/arXiv.2212.12964 .
LibreCat: /record/47275
DOI: 10.48550/arXiv.2212.12964

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

M. Scholtysik, M. Rohde, C. Koldewey, and R. Dumitrescu, “Business strategy taxonomy and solution patterns for the circular economy,” 2024.
LibreCat: /record/49364

F. Dou, L. Wang, S. Chen, and F. Liu, “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.
LibreCat: /record/50066

M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, and L. Wang, “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.
LibreCat: /record/50065

H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, and L. Wang, “706Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing,” presented at the ACM Web Conference (WWW), Singapore, 2024.
LibreCat: /record/50807

F. M. Philipp, M. Schaller, S. Boshoff, S. Peitz, F. Nüske, and K. Worthmann, “Extended Dynamic Mode Decomposition: Sharp bounds on the sample  efficiency,” arXiv:2402.02494. 2024.
LibreCat: /record/51160
arXiv: 2402.02494

K. Sonntag and S. Peitz, “Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems,”10.1007/s10957-024-02389-3__Journal of Optimization Theory and Applications, 2024, doi:10.1007/s10957-024-02389-3 .
LibreCat: /record/46019
DOI: 10.1007/s10957-024-02389-3

K. Sonntag, B. Gebken, G. Müller, S. Peitz, and S. Volkwein, “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces,” arXiv:2402.06376. 2024.
LibreCat: /record/51334
arXiv: 	2402.06376

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

S. Dorociak, Implementierung eines Algorithmus zur motivbasierten Schnitt-Sparsifizierung. 2024.
LibreCat: /record/52318

M. Khedkar and E. Bodden, “Toward an Android Static Analysis Approach for Data Protection,” presented at the 9th International Conference on Mobile Software Engineering and Systems 2024, Lisbon, Portugal, 2024.
LibreCat: /record/52235
arXiv: 2402.07889

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.-K. Wickert, M. Schlichtig, M. Vogel, L. Winter, M. Mezini, and E. Bodden, Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability. 2024.
LibreCat: /record/52663

Q. A. Ahmed, T. Wiersema, and M. Platzner, “Post-configuration Activation of Hardware Trojans in FPGAs,”10.1007/s41635-024-00147-5__Journal of Hardware and Systems Security, 2024, doi:10.1007/s41635-024-00147-5 .
LibreCat: /record/52686
DOI: 10.1007/s41635-024-00147-5

S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples for Engaging in Epistemic Programming Projects,”10.1145/3626252.3630961__2024, doi:10.1145/3626252.3630961 .
LibreCat: /record/52379
DOI: 10.1145/3626252.3630961

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

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