#Data Science

Data Science allows users to discover, analyse and visualise large amounts of complex data in order to obtain useful information.

Projects

Visual Heritage

Visual Analytics and Computer Vision Meet Cultural Heritage.

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

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

FAIRAI

Strengthening Austria's Innovation Capabilities and Research Excellence in Artificial Intelligence.

Applied Biomechanics in Rehabilitation Research

Endowed professorship of the province of Lower Austria to strengthen and expand the research focus on motor rehabilitation

FairMedia

Fair and Trusted Datasets for Media Computing

JHML - Joint Human Machine Learning for Exploratory Data Analysis

Combining Machine Learning with Methods of Visualization for Exploratory Data Analysis.

SCiNDTiLA

Smart Cities and Digital Twins in Lower Austria.

AniVision

Animation in Ephemeral Films from Austria, East & West Germany between 1945 and 1989: A Combined Film Analysis and Computer Vision Approach

deepForce - Pushing the limits of rapid estimation of knee joint contact force estimation in clinical gait analysis by Machine and Deep Learning

Machine learning methods to enable more clinicians to use data obtained by gait analyses for diagnosis.

Ergo4All – Ergonomics for everyone

An app for analysing work processes and improving them according to ergonomic criteria.

Publications

Aigner, W. (2024, April 15). Visualization of Time-Oriented Data. Seminar "Information Technology Outlook" - PhD Programme in Computer Science and Mathematics, Bari, Italy.
Enge, K., Elmquist, E., Caiola, V., Rönnberg, N., Rind, A., Iber, M., Lenzi, S., Lan, F., Höldrich, R., & Aigner, W. (2024). Open Your Ears and Take a Look: A State-of-the-Art Report on the Integration of Sonification and Visualization. Computer Graphics Forum (EuroVis "24), 43. https://phaidra.fhstp.ac.at/o:5541
Rind, A., Enge, K., Iber, M., Rönnberg, N., Lenzi, S., Elmquist, E., Caiola, V., Lan, F., Höldrich, R., & Aigner, W. (2024). Integrating Sonification and Visualization - But Why? EuroVis Panels, 5 pages.
Aigner, W., Di Francescomarino, C., Schuster, D., Turkay, C., & Zerbato, F. (2024). Human in the (Process) Mines (Dagstuhl Seminar 23271) -- Working group on Visual Process Mining: from Interaction to Knowledge. Dagstuhl Reports, 13(6), 1–33. https://doi.org/10.4230/DagRep.13.7.1
Aigner, W. (2023, October 30). Multimodal Data Exploration. Invited Talk at Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy.
Aigner, W. (2023, October 30). Multimodal Data Exploration. Seminar "Information Technology Outlook" - PhD Programme in Computer Science and Mathematics, Bari, Italy.
Rind, A., Enge, K., & Iber, M. (2023, September 29). SoniVis: Datenanalyse mit Augen und Ohren [Demo & Poster]. European Researchers" Night 2023, Graz.
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
Bruckner, Franziska, Feyersinger, Erwin, & Lechner, Patrik. (2023, June 14). AniVision: Machine Learning as a Tool for Studying Animation in Ephemeral Films [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://www.sas34.org/
Feyersinger, Erwin. (2023, June 14). Animation Studies and Digital Humanities [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://www.sas34.org/

News

04/25/2024

Exploring Data by Ear and Eye

04/19/2024

Digitalisation Hub for Companies

08/25/2023

Mobility for All