#Data Science
Mit Data Science lassen sich brauchbare Informationen in großen Mengen komplexer Daten entdecken, analysieren und visualisieren.
Publikationen
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/