#Data Science

Data Science allows users to discover, analyse and visualise large amounts of complex data in order to obtain useful information.

Projects

CERTAIN

Certification for Ethical and Regulatory Transparency in Artificial INtelligence

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

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