Deciding Subsumption in Defeasible $$\'6dathcal ELI_\'62ot $$ with Typicality Models
I. de Camargo e Souza Câmara, A.-Y. Turhan, in: Logics in Artificial Intelligence, Springer Nature Switzerland, Cham, 2023.

Optimal Alignment of Temporal Knowledge Bases
O.F. Gil, F. Patrizi, G. Perelli, A.-Y. Turhan, CoRR abs/2307.15439 (2023).

Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization
U. ckvorc, T. Eftimov, P. Koro]ec, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2023.

Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint DL+NMR Invited Talk)
A.-Y. Turhan, in: O. Kutz, C. Lutz, A. Ozaki (Eds.), Proceedings of the 36th International Workshop on Description Logics (DL 2023) Co-Located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning (KR 2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023, CEUR-WS.org, 2023.

Professional Development Enacted by Facilitators in the Context of Early Mathematics Education: Scaling up or Dilution of Effects?
J. Bruns, M. Hagena, H. Gasteiger, Teaching and Teacher Education 132 (2023).

Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth
J. Pottebaum, J. Rossel, J. Somorovsky, Y. Acar, R. Fahr, P. Arias Cabarcos, E. Bodden, I. Gräßler, in: 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&;PW), IEEE, 2023, pp. 379–385.

Poster: Circumventing the GFW with TLS Record Fragmentation
N. Niere, S.N. Hebrok, J. Somorovsky, R. Merget, in: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, ACM, 2023.

Error analysis for the numerical approximation of the harmonic map heat flow with nodal constraints
S. Bartels, B. Kovács, Z. Wang, IMA Journal of Numerical Analysis (2023).

Error analysis of BDF 1-6 time-stepping methods for the transient Stokes problem: velocity and pressure estimates
A. Contri, B. Kovács, A. Massing, ArXiv (2023).

Funnel control of linear systems with arbitrary relative degree under output measurement losses
T. Berger, L. Lanza, IMA Journal of Mathematical Control and Information, 40 (2023) 691–713.

Edge-wise funnel output synchronization of heterogeneous agents with relative degree one
J.G. Lee, T. Berger, S. Trenn, H. Shim, Automatica 156 (2023) Article 111204.

Energy-Efficient Rate Splitting for MIMO STAR-RIS-Assisted Broadcast Channels with I/Q Imbalance
M. Soleymani, I. Santamaria, E. Jorswieck, in: 2023 31st European Signal Processing Conference (EUSIPCO), IEEE, 2023.

SNR Maximization in Beyond Diagonal RIS-Assisted Single and Multiple Antenna Links
I. Santamaria, M. Soleymani, E. Jorswieck, J. Gutiérrez, IEEE Signal Processing Letters 30 (2023) 923–926.

Optimization of Rate-Splitting Multiple Access in Beyond Diagonal RIS-assisted URLLC Systems
M. Soleymani, I. Santamaria, E. Jorswieck, B. Clerckx, IEEE Transactions on Wireless Communications (2023) 1–1.

NOMA-Based Improper Signaling for Multicell MISO RIS-Assisted Broadcast Channels
M. Soleymani, I. Santamaria, E. Jorswieck, S. Rezvani, IEEE Transactions on Signal Processing 71 (2023) 963–978.

Spectral and Energy Efficiency Maximization of MISO STAR-RIS-Assisted URLLC Systems
M. Soleymani, I. Santamaria, E.A. Jorswieck, IEEE Access 11 (2023) 70833–70852.

Interference Leakage Minimization in RIS-Assisted MIMO Interference Channels
I. Santamaria, M. Soleymani, E. Jorswieck, J. Gutiérrez, in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023.

Developing a deep canonical correlation-based technique for seizure prediction
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, T. Loddenkemper, Expert Systems with Applications 234 (2023).

Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2023.

Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control
E.G. Gedlu, O. Wallscheid, J. Böcker, O. Nelles, in: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), IEEE, 2023.