#Data Science
Mit Data Science lassen sich brauchbare Informationen in großen Mengen komplexer Daten entdecken, analysieren und visualisieren.
Publikationen
Aigner, W. (2025, January 13). Wintergraph 2025 - Research Area - Data Visualization. 18th Visual Computing Winter Workshop Austria (Wintergraph 2025), Kaprun.
de Jesus Oliveira, V. A., Bigler, T., Grassinger, F., Zauchinger, M., Treytl, A., & Aigner, W. (2025). Empowering Facility Managers: Multimodal Location-Based Visualization for Smart Sanitizer Dispensers Management. International Conference on Information Visualization Theory and Applications (IVAPP).
Iber, M., Enge, K., Rönnberg, N., Neidhardt, A., Schnell, N., Pollack, K., kallionpää, M., & Chamberlain, A. (2024). What you hear is what you see? Perspectives on modalities in sound and music interaction. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-024-01835-3
Apellaniz Portos, M., Labadie-Tamayo, R., Stemmler, C., Feyersinger, E., Babic, A., Bruckner, F., Öhner, V., & Zeppelzauer, M. (2024). Analysis of Hybrid Compositions in Animation Film with Weakly Supervised Learning. Vision of Art - Workshop at the European Conference of Computer Vision (ECCV), 14.
Stemmler, C. (2024, October 9). AniVision: New Technology-assisted Approach to Studying Animation History. CAGA Conference, Viborg.
Enge, K. (2024, June 18). Open Your Ears and Take a Look: From Audio-Visual Analytics to (VR) Acoustic Ecology [Invited Talk]. NYU VIDA Seminar, New York University: VIDA.
Aigner, W. (2024, December 6). Visualization and Multimodal Exploration of Time-Oriented Data. SFB-TRR 161 "Quantitative Methods for Visual Computing," Stuttgart, Germany.
Apellaniz Portos, M., & Stemmler, C. (2024, May 6). AniVision: Using AI for Studying Animation Aesthetics. Animafest Scanner XI, Zagreb.
Feyersinger, E., & Stemmler, C. (2024, May 24). AniVision: Animation im deutschsprachigen Lehrfilm [Vortrag]. Lehrfilm erforschen. Theoretische und methodische Zugriffe auf den edukativen FIlms, Online - Paderborn.
Rind, A., Blasinger, A., Enge, K., Grassinger, F., Oliveira, V. A. de. J., & Zauchinger, M. (2024, May 24). Wie können wir Daten erlebbar machen? [Demo & Poster]. Lange Nacht der Forschung 2024, St. Pölten. https://langenachtderforschung.at/station/1213