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S. Dorociak, Implementierung eines Algorithmus zur motivbasierten Schnitt-Sparsifizierung. 2024.

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.

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 .

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M. Vinzent Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,”10.1109/ssci52147.2023.10372008__2024, doi:10.1109/ssci52147.2023.10372008 .

F. Philipp, M. Schaller, K. Worthmann, S. Peitz, and F. Nüske, “Error bounds for kernel-based approximations of the Koopman operator,”10.1016/j.acha.2024.101657__Applied and Computational Harmonic Analysis , vol. 71, Art. no. 101657, 2024, doi:10.1016/j.acha.2024.101657 .

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E. Yigitbas and J. Mazur, “Augmented and Virtual Reality for Diet and Nutritional Education: A Systematic Literature Review,” 2024.

L. Schmidt and E. Yigitbas, “Development and Usability Evaluation of Transitional Cross-Reality Interfaces,” Proceedings of the ACM on Human-Computer Interaction, EICS, vol. 8, no. 263, p. 31, 2024.

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

E. Yigitbas and C. Kaltschmidt, “Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connections,” 2024.

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J. Leichtweiß and E. Yigitbas, “An Exploratory Study of Fear-Inducing Factors in Virtual Reality Experiences,” 2024.

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E. Bodden, J. Pottebaum, M. Fockel, and I. Gräßler, “Evaluating Security Through Isolation and Defense in Depth,”10.1109/msec.2023.3336028__IEEE Security &; Privacy, vol. 22, no. 1, pp. 69–72, 2024, doi:10.1109/msec.2023.3336028 .

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M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing,” presented at the IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee, USA, 2024.

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S. Peitz and K. Bieker, “On the Universal Transformation of Data-Driven Models to Control Systems,”10.1016/j.automatica.2022.110840__Automatica, vol. 149, Art. no. 110840, 2023, doi:10.1016/j.automatica.2022.110840 .