#Data Science
Data Science allows users to discover, analyse and visualise large amounts of complex data in order to obtain useful information.
Publications
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Towards more transparency: The utility of Grad-CAM in tracing back deep learning based classification decisions in children with cerebral palsy. Gait & Posture, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045
Aigner, W. (2022, November 18). Data and the City: Making data about the city and its people visible. Vienna Perspectives ― Art, Urban Space and Social In-/Equality, Vienna, Austria. https://muk.ac.at/veranstaltung/international-study-sessions-wiener-perspektiven-01.html
Aigner, W., Enge, K., Iber, M., Rind, A., Elmqvist, N., Höldrich, R., Rönnberg, N., & Walker, B. N. (2022, October 20). Audio-Visual Analytics: Potential Applications of Combined Sonifications and Visualizations [Application Spotlight]. IEEE VIS 2022, Oklahoma City, US. https://ieeevis.org/year/2022/info/spotlights#spot2
Iber, M. (2022, October 14). Research in sound & music computing @ St. Pölten University of Applied Sciences [Guest researcher"s presentation]. E3UDRES2 Work Package 4 Meeting G3-MTG19, Virtual Meeting.
Iber, M., Enge, K., Neidhardt, A., Rönnberg, N., Pollack, K., Schnell, N., & Turchet, L. (Eds.). (2022). Proceedings of the 17th International Audio Mostly Conference (AM "22). ACM. https://dl.acm.org/doi/proceedings/10.1145/3561212
Rind, A., Aigner, W., Böck, J., Grassinger, F., Oliveira, V. A. de. J., Wu, H.-Y., & Zauchinger, M. (2022, September 30). Daten erlebbar machen: Wie Daten sichtbar, hörbar und greifbar werden [Demo & Poster]. European Researchers" Night 2022, St. Pölten.
Enge, K. (2022, September 28). SoniScope - Der klingende Scatterplot [Invited Talk]. IEM Open Labs, Graz (Austria). https://alumni.tugraz.at/wir-ueber-uns/sektionen-regionalgruppen-chapters/sektion-toningenieur/programm
Slijepcevic, D., Horst, F., Simak, M., Lapuschkin, S., Raberger, A. M., Samek, W., Breiteneder, C., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2022). Explaining machine learning models for age classification in human gait analysis. Gait & Posture, 97, S252–S253. https://doi.org/10.1016/j.gaitpost.2022.07.153
Aigner, W. (2022, June 30). TimeViz: Visualization of Time-Oriented Data [Invited Talk]. CSIG-VIS International Lecture Series - ChinaVis, Online. https://chinavis.org/lectures/english/index_en.html
Enge, K. (2022, June 24). ICAD Student Think Tank 2022 - Exploratory Data Analysis using Multimodal Representations: Joint Sonification and Visualization [Presentation]. ICAD Student Think Tank 2022, Virtual Meeting. https://icad2022.icad.org/think-tank/