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2145 Publications
2023 | Journal Article | LibreCat-ID: 45813
L. Libuda et al., “Full Breastfeeding and Allergic Diseases—Long-Term Protection or Rebound Effects?,” Nutrients, vol. 15, no. 12, Art. no. 2780, 2023, doi: 10.3390/nu15122780.
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| DOI
2023 | Conference Paper | LibreCat-ID: 31880 | 
D. A. Nguyen, R. Levie, J. Lienen, G. Kutyniok, and E. Hüllermeier, “Memorization-Dilation: Modeling Neural Collapse Under Noise,” presented at the International Conference on Learning Representations, ICLR, Kigali, Ruanda, 2023.
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2023 | Preprint | LibreCat-ID: 45814 |
J. Lienen and E. Hüllermeier, “Mitigating Label Noise through Data Ambiguation,” arXiv:2305.13764. 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 33734 |
N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,” in The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi: https://doi.org/10.1007/978-3-031-33455-9_13.
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2023 | Preprint | LibreCat-ID: 45244 |
J. Lienen and E. Hüllermeier, “Mitigating Label Noise through Data Ambiguation,” arXiv:2305.13764. 2023.
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| arXiv
2023 | Dissertation | LibreCat-ID: 44323
J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Neubiberg: Universität der Bundeswehr München , 2023.
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2023 | Preprint | LibreCat-ID: 45911 |
J. Lienen and E. Hüllermeier, “Mitigating Label Noise through Data Ambiguation,” arXiv:2305.13764. 2023.
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| arXiv
2023 | Book Chapter | LibreCat-ID: 46205
J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews,” in Data Management Technologies and Applications, vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer Nature Switzerland, 2023, pp. 45–65.
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2023 | Journal Article | LibreCat-ID: 46213
D. Weber, M. Schenke, and O. Wallscheid, “Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems,” IEEE Access, vol. 11, pp. 76524–76536, 2023, doi: 10.1109/access.2023.3297274.
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2023 | Conference Paper | LibreCat-ID: 46212
D. Weber, M. Schenke, and O. Wallscheid, “Safe Reinforcement Learning-Based Control in Power Electronic Systems,” 2023, doi: 10.1109/fes57669.2023.10182718.
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2023 | Journal Article | LibreCat-ID: 46214
R. Birner et al., “Ernährungsarmut unter Pandemiebedingungen,” Berichte über Landwirtschaft, 2023, doi: 10.12767/BUEL.VI236.468.
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2023 | Journal Article | LibreCat-ID: 46217
B. Renner et al., “Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems,” Advances in Nutrition, 2023, doi: 10.1016/j.advnut.2023.06.009.
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2023 | Journal Article | LibreCat-ID: 46243 |
C. Demir and A.-C. Ngonga Ngomo, “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras,” ECML-PKDD, 2023.
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2023 | Journal Article | LibreCat-ID: 46251 |
C. Demir and A.-C. Ngonga Ngomo, “Neuro-Symbolic Class Expression Learning,” International Joint Conference on Artificial Intelligence, 2023.
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2023 | Dissertation | LibreCat-ID: 45780 |
A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions. 2023.
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2023 | Conference Paper | LibreCat-ID: 45661
I. Gräßler and D. Preuß, “Automatisierte Abhängigkeitsanalyse von Anforderungen zur Wirkkettenmodellierung,” in Stuttgarter Symposium für Produktentwicklung SSP 2023, Stuttgart, 2023.
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2023 | Conference Paper | LibreCat-ID: 42163 |
C. Offen and S. Ober-Blöbaum, “Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves,” in Geometric Science of Information, Saint-Malo, Palais du Grand Large, France, 2023, vol. 14071, pp. 569–579, doi: 10.1007/978-3-031-38271-0_57.
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| DOI
| arXiv
2023 | Journal Article | LibreCat-ID: 29240 |
S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,” Journal of Computational and Applied Mathematics, vol. 421, p. 114780, 2023, doi: 10.1016/j.cam.2022.114780.
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| DOI
| arXiv
2023 | Journal Article | LibreCat-ID: 37654 |
E. Dierkes, C. Offen, S. Ober-Blöbaum, and K. Flaßkamp, “Hamiltonian Neural Networks with Automatic Symmetry Detection,” Chaos, vol. 33, no. 6, Art. no. 063115, 2023, doi: 10.1063/5.0142969.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 46518
H. M. A. Zahera, F. Vitiugin, M. Sherif, C. Castillo, and A.-C. Ngonga Ngomo, “Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study,” presented at the SEMANTiCS 2023, Leipzig, Germany, 2023.
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