#Machine Learning

In Machine Learning, artificial systems learn from experience – similar to humans. This technology can be used in various applications in research and practice, for example to analyse medical data or fend off IT attacks.

Projects

Elecom

Decoding elephant communication with AI.

ADAL

AI server for large-scale data driven research.

CERTAIN

Certification for Ethical and Regulatory Transparency in Artificial INtelligence

Institute of IT Security Research

DIHOST 2.0

A platform that brings digital innovations to small and medium-sized companies in Eastern Austria.

Institute of Creative\Media/Technologies

PROGRESS

Validation of a Cost-Effective Smartphone-Based 3D Gait and Motion Analysis System for Capturing Movement Kinematics in Children with Cerebral Palsy.

Visual Heritage

Visual Analytics and Computer Vision Meet Cultural Heritage.

PhD Program Visual Heritage

Trust AI - A platform for interactive and trustworthy artificial intelligence.

Explainable and trustworthy AI solution in an easy-to-use platform for SMEs.

EyeQTrack - Quantitative Eye-Tracking Analytics for Adaptive XR Training & Rehabilitation in Healthcare

A self-adaptive eXtended reality environment for training and therapeutic purposes.

KliWaSim

Simulating Climate Adaptation and Economic Development of Small Hydropower Plants.

Publications

Proksa, F. (2025, July 3). Interdisciplinary Alliances with Artistic and AI-Driven Research [Vortrag]. Tricky Women – Best Practice, International Forum, Vienna, Filmmusem. https://online.trickywomen.at/p/25_Sup_Pro_Best_Practice

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.

Bibtex

Stemmler, C. (2024, October 9). AniVision: New Technology-assisted Approach to Studying Animation History. CAGA Conference, Viborg.

Bibtex

Schmiedl, K. (2024). Animationen in Signations des ORF von 1960 bis 1989 [Masterthesis]. Fachhochschule St. Pölten.

Bibtex

Apellaniz Portos, M., & Stemmler, C. (2024, May 6). AniVision: Using AI for Studying Animation Aesthetics. Animafest Scanner XI, Zagreb.

Bibtex

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.

Bibtex

Apellaniz Portos, M., & Stemmler, C. (2024, May 6). AniVision: Using AI for the Study of Animation History [Symposium - Panel 4: Authorship In/Of AI Animation]. Animafest Scanner XI, Zagreb, Croatia. https://www.animafest.hr/en

Feyersinger, E., & Stemmler, C. (2024, December 4). AniVision: Machine Learning als Analysetool von Animation im Gebrauchsfilm [Vortrag]. DiCi-Hub: Digitale Methoden und die Zukunft der Filmwissenschaft, Marburg.

Bibtex

Feyersinger, E., & Stemmler, C. (2024, July 3). A (Self-)Critical Perspective on Computer Vision as a Digital Humanities Tool [Vortrag]. The Interactive Gaze: Surveillance Images in Digital Games and Other Media, Tübingen.

Bibtex

Horst, F., Hoitz, F., Slijepcevic, D., Schons, N., Beckmann, H., Nigg, B. M., & Schöllhorn, W. I. (2023). Identification of subject-specific responses to footwear during running. Scientific Reports, 13(1), 11284. https://doi.org/10.1038/s41598-023-38090-0

News

02/26/2025