Team

Dipl.-Ing. Djordje Slijepčević BSc

  • Junior Researcher
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Department Medien und Digitale Technologien
Arbeitsplatz: Heinrich Schneidmadl-Straße 15
T: +43/2742/313 228 654

Studiengänge

  • Interactive Technologies (MA)
  • Digital Media Production (MA)
  • Digital Design (MA)
  • Smart Engineering (BA)
  • Wirtschafts- und Finanzkommunikation (MA)

Departments

  • Medien und Digitale Technologien
  • Medien und Wirtschaft

Publikationen

Slijepcevic, D., Raberger, A.-M., Zeppelzauer, M., Dumphart, B., Breiteneder, C., & Horsak, B. (2019). On the usefullness of statistical parameter mapping for feature selection in automated gait classification. In Book of Abstracts. Vienna (Austria).
Kirchknopf, A., Slijepcevic, D., Zeppelzauer, M., & Seidl, M. (2018). Detection of Road Passability from Social Media and Satellite Images. Presented at the MediaEval"18, Sophia Antipolis, France.
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10.1109/TVCG.2017.2785271
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., … Horsak, B. (2018). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 5(22), 1653–1661. https://doi.org/10.1109/JBHI.2017.2785682
Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. In Gait & Posture (Vol. 65, p. 249). Prag. https://doi.org/10.1016/j.gaitpost.2018.06.155
Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. In Tagungsband des 2ten GAMMA Kongress (Gesellschaft für die Analyse Menschlicher Motorik in ihrer klinischen Anwendung). Hamburg, Deutschland.
Slijepcevic, D., Horsak, B., Schwab, C., Raberger, A.-M., Schüller, M., Baca, A., … Zeppelzauer, M. (2017). Ground reaction force measurements for gait classification tasks: Effects of different PCA-based representations. In Gait & Posture (Vol. 57, pp. 4–5). Trondheim, Norway. https://doi.org/10.1016/j.gaitpost.2017

Projekte