#Data Science
Data Science allows users to discover, analyse and visualise large amounts of complex data in order to obtain useful information.
Publications
Labadie-Tamayo, R., Slijepčević, D., Chen, X., Böck, A. J., Babic, A., Freimann, L., Atzmüller, C., & Zeppelzauer, M. (2026). Distilling knowledge from large language models: A concept bottleneck model for hate and counter speech recognition. Information Processing & Management, 63(2, Part A), 104309. https://doi.org/10.1016/j.ipm.2025.104309
Slijepčević, D., Klausner, L. D., Eigner, O., Ladner, S., Kietreiber, T., Belinskaya, Y., Kovac, F., Priebe, T., Judmaier, P., Litschka, M., & Zeppelzauer, M. (2026). TrustAI: Designing and Implementing a Trustworthy and User-Centered AI Platform. Proceedings of the 36th International Conference on Database and Expert Systems Applications – DEXA 2025 Workshops, CCIS, volume 2615, 15–29. https://doi.org/10.1007/978-3-032-02003-1_2
Babic, A., Chen, X., Slijepčević, D., Böck, A. J., & Zeppelzauer, M. (2025). CounterHelp: Promoting Online Civil Courage Among Young People Through AI-Generated Counter Speech. Proceedings of the 33rd ACM International Conference on Multimedia, 13513–13515. https://doi.org/10.1145/3746027.3754473
Slijepčević, D., Ladner, S., Judmaier, P., Zeppelzauer, M., Kranzl, A., & Horsak, B. (2025). AI applications and data annotation practices in clinical gait analysis: Initial insights from a survey of ESMAC and GAMMA members. Gait & Posture, 121, 229–230. https://doi.org/10.1016/j.gaitpost.2025.07.246
Krondorfer, P., Slijepčević, D., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2025). Predicting joint contact forces using a combination of kinematics, anthropometrics, and demographics with explainable artificial intelligence. Gait & Posture, 121, 126–128. https://doi.org/10.1016/j.gaitpost.2025.07.139
Labadie-Tamayo, R., Böck, A. J., Chen, X., & Zeppelzauer, M. (2025). FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models⋆. 12. https://doi.org/10.48550/arXiv.2507.20924
Stumpe, E., Bodner, G., Flagiello, F., & Zeppelzauer, M. (2025). 3D Multimodal Image Registration for Plant Phenotyping. Computers and Electronics in Agriculture, 237, Part B, 110538. https://doi.org/10.1016/j.compag.2025.110538
Rind, A., Boucher, M., De Jesus Oliveira, V. A., Grassinger, F., Stoiber, C., Tekaya, N., & Zauchinger, M. (2025, May 22). Daten erlebbar machen [Demo & Poster]. E3UDRES2 Science Festival, St. Pölten. https://eudres.eu/scifest-stp-2025
Liszt-Rohlf, V., Schindler, A., Seeber, F., Szalai, E., Havas, C., Tatzgern, M., Slijepčević, D., Priebe, T., Zeppelzauer, M., Führer, M., & Blaickner, M. (2025). FAIR-AI: Fostering Austria’s Innovative Strength and Research Excellence in Artificial Intelligence. Abstractband: 18. Forschungsforum der österreichischen Fachhochschulen : 7. - 8. Mai 2025, 526–527. https://doi.org/10.34895/hcw.0027
Proksa, F. (2025, July 3). Interdisciplinary Alliances with Artistic and AI-Driven Research [Vortrag]. Tricky Women – Best Practice, International Forum, Vienna, Filmmusem. https://online.trickywomen.at/p/25_Sup_Pro_Best_Practice