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Dipl.-Ing. Djordje Slijepčević BSc

  • Researcher
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Department Medien und Digitale Technologien
Arbeitsplatz: A - Campus-Platz 1
T: +43/2742/313 228 654

Studiengänge

  • Data Science and Business Analytics (BA)
  • Medientechnik (BA)
  • Smart Engineering (BA)
  • Digital Design (MA)
  • Data Intelligence (MA)
  • Interactive Technologies (MA)
  • Digital Media Production (MA)
  • Digital Business Communications* (MA)

Departments

  • Informatik und Security
  • Medien und Digitale Technologien
  • Digital Business und Innovation

Publikationen

Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1–14:27. https://doi.org/10/gnt2s9
Kirchknopf, A., Slijepcevic, D., Wunderlich, I., Breiter, M., Traxler, J., & Zeppelzauer, M. (2021). Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 3.
Horst, F., Slijepcevic, D., Simak, M., & Schöllhorn, W. I. (2021). Gutenberg Gait Database, a ground reaction force database of level overground walking in healthy individuals. Scientific Data, 8(1), 232. https://doi.org/https://doi.org/10.1038/s41597-021-01014-6
Boeck, J., Liakhovets, D., Schütz, M., Kirchknopf, A., Slijepcevic, D., Zeppelzauer, M., & Schindler, A. (2021). AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection with Multilingual Transformer Models. Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, 76–82. https://aclanthology.org/2021.germeval-1.11.pdf
Kirchknopf, A., Slijepcevic, D., & Zeppelzauer, M. (2021). Multimodal Detection of Information Disorder from Social Media. International Conference on Content-Based Multimedia Indexing (CBMI), 4. https://doi.org/10/gmxnm5
Iber, M., Dumphart, B., Oliveira, V. A. de. J., Ferstl, S., Reis, J., Slijepcevic, D., Heller, M., Raberger, A.-M., & Horsak, B. (2021). Mind the Steps: Towards Auditory Feedback in Tele-Rehabilitation Based on Automated Gait Classification. In Proceedings of the 16th International Audio Mostly Conference (AM"21). Audio Mostly 2021. https://doi.org/10/gnt2tc
Baumhauer, T., Slijepcevic, D., & Zeppelzauer, M. (2021). Bounded logit attention: Learning to explain image classifiers [Arxiv Preprint]. https://arxiv.org/pdf/2105.14824
Slijepcevic, D. (2020, February 19). Explanation of Automatic Predictions in Human Gait Analysis [Invited Talk]. Explainable AI Workshop, TU Wien, Wien.
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2020). How High is the Tide? Estimation of Flood Level from Social Media. Proceedings of Joint Austrian Computer Vision and Robotics Workshop 2020, 2. https://doi.org/10/gnt2wh
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., Worisch, M., & Zeppelzauer, M. (2020). GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait. Scientific Data, 7:143(1), 1–8. https://doi.org/10/gh372d
Slijepcevic, D., Zeppelzauer, M., Schwab, Caterine, Raberger, A.-M., Breitender, C., & Horsak, B. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203. https://doi.org/10/ghz24x
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. Abstractband Des 3. GAMMA Kongress. 3. GAMMA Kongress, München, Deutschland.
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2019). Flood Level Estimation from Social Media Images. CEUR Proceedings of the MediaEval 2019 Workshop, 2670, 2.
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. Book of Abstracts of the 25th Conference of the European Society of Biomechanics (ESB), 1.
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/ghppzn
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., Breiteneder, C., & Horsak, B. (2018). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 5(22), 1653–1661. https://doi.org/10/ghz24w
Kirchknopf, A., Slijepcevic, D., Zeppelzauer, M., & Seidl, M. (2018). Detection of Road Passability from Social Media and Satellite Images. CEUR Proceedings of the MediaEval 2018 Workshop, 2.
Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., Breiteneder, C., & Horsak, B. (2018). Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. Gait & Posture Supplement, 65. https://doi.org/10/gh38wn
Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., Breitender, C., & Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. Tagungsband Des 2ten GAMMA Kongress (Gesellschaft Für Die Analyse Menschlicher Motorik in Ihrer Klinischen Anwendung). 2ter 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., Breitender, C., & Zeppelzauer, M. (2017). Ground reaction force measurements for gait classification tasks: Effects of different PCA-based representations. Gait & Posture Supplement, 57, 4–5. https://doi.org/10.1016/j.gaitpost.2017

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