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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

  • Creative Computing (BA)
  • Data Science and Business Analytics (BA)
  • Medientechnik (BA)
  • Smart Engineering (BA)
  • Digital Business Communications (MA)
  • Digital Design (MA)
  • Data Intelligence (MA)
  • Interactive Technologies (MA)
  • Digital Media Production (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
Baumhauer, T., Slijepcevic, D., & Zeppelzauer, M. (2022). Bounded logit attention: Learning to explain image classifiers. Attention Workshop, NeurIPS 202, New Orleans, USA. https://arxiv.org/pdf/2105.14824
Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. To Appear in Proc. 3rd IEEE VIS Workshop on TRust and Expertise in Visualization (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006
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
Slijepcevic, D. (2020, February 19). Explanation of Automatic Predictions in Human Gait Analysis [Invited Talk]. Explainable AI Workshop, TU Wien, Wien.
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
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
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.
Vyssoki, S., Stoiber, C., Slijepcevic, D., Wagner-Havlicek, C., Wagner, M., & Wagner, M. (2019, October 17). Kompetenzorientierte Prüfungsdesigns - DataBootCamp und Parallel Escape Rooms. Gelernt Wird, Was Geprüft Wird", Oder…?! Assessment in Der Hochschullehre Neu Denken: Good Practices – Herausforderungen – Visionen. 8. Tag der Lehre, St. Pölten. http://skill.fhstp.ac.at/wp-content/uploads/2019/11/Tagungsband_2019.pdf
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 usefulness 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.
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.
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.
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., 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
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., 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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