U. Knuples, A. Falenska, und F. Miletic. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seite 11612-11631. Association For Computational Linguistics, (2024)
E. Dönmez, N. Vu, und A. Falenska. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seite 18340-18357. Association For Computational Linguistics, (2024)
S. Hermann, M. Andresen, F. Kleinkopf, und M. Gärtner. TK 5: Content: Vom Umgang mit Inhalten und Daten / Autoren- und Nutzungsrechte (02.06.2022, 9:00 - 11:00, M5 (Messehaus)), Berufsverband Information Bibliothek, (2022)
Y. Li, P. Hirmer, und C. Stach. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Seite 583-588. IEEE, (2023)
E. Dönmez, P. Tilli, H. Yang, N. Vu, und C. Silberer. Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), Seite 364-388. Association For Computational Linguistics, (2023)
A. Fieschi, Y. Li, P. Hirmer, C. Stach, und B. Mitschang. Service-Oriented Computing : 17th Symposium and Summer School, SummerSOC 2023, Heraklion, Crete, Greece, June 25 – July 1, 2023, Revised Selected Papers, 1847, Seite 59-68. Cham, Springer, (2023)
H. Chen, M. Roth, und A. Falenska. The 5th Workshop on Gender Bias in Natural Language Processing : Proceedings of the Workshop, Seite 150-166. Kerrville, Association For Computational Linguistics, (2024)
N. Schäfer, S. Künzel, P. Tilli, T. Munz-Körner, S. Vidyapu, N. Vu, und D. Weiskopf. Software, (2025)Related to: Künzel, S., Munz-Körner, T., Tilli, P. et al. Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation. Vis. Comput. Ind. Biomed. Art 8, 9 (2025). doi: 10.1186/s42492-025-00185-y.
R. Bauer, M. Evers, Q. Quang Ngo, G. Reina, S. Frey, und M. Sedlmair. Software, (2025)Related to: Bauer, R., Evers, M., Ngo, Q.Q., Reina, G., Frey, S. and Sedlmair, M. (2025), Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Computer Graphics Forum e70122. doi: 10.1111/cgf.70122.
