Campus HagenbergResearch Center

Publikationen

An integrated approach for power transformer modeling and manufacturing

C. Lettner, M. Moser, J. Pichler - An integrated approach for power transformer modeling and manufacturing - International Conference on Industry 4.0 and Smart Manufacturing, Linz, Österreich, 2020, pp. 351-355
  • Tagungsband
  • Software Technologie und Anwendungen

Stepwise abstraction of high-level system specifications from source code

F. Ferrarotti, M. Moser, J. Pichler - Stepwise abstraction of high-level system specifications from source code - Journal of Computer Languages, 2020
  • Journal
  • Software Technologie und Anwendungen

Strategies for Training Deep Learning Models in Medical Domains with Small Reference Datasets

G. Zwettler, D. Holmes III, W. Backfrieder - Strategies for Training Deep Learning Models in Medical Domains with Small Reference Datasets - Proceedings of the WSCG 2020, Pilsen, Tschechische Republik, 2020, pp. 10
  • Tagungsband
  • Software Technologie und Anwendungen

InstaVis: Visualizing Clusters of Instagram Message Feeds

A. Stöckl, J. Diephuis, A. Aschauer - InstaVis: Visualizing Clusters of Instagram Message Feeds - Proceedings of the 24th International Conference Information Visualisation, Wien , Österreich, 2020, pp. 422-426
We provide a method for visualizing the information associated with the clusters used for topic modeling of Instagram Message Feeds. For this purpose, a series…   mehr
  • Tagungsband
  • Medien und Wissenstechnologien

Austria

C. Ortner - Austria in The SAGE international encyclopedia of mass media and society (Editors: D. Merskin) - SAGE Publications, 2020, pp. 129-131
The Republic of Austria is a parliamentary federal democracy with nearly 8.6 million inhabitants situated in the centre of Europe. Like its neighboring…   mehr
  • Buch/Buchbeitrag
  • Medien und Wissenstechnologien

Diaries

C. Ortner - Diaries in The SAGE international encyclopedia of mass media and society (Editors: D. Merskin) - SAGE Publications, 2020, pp. 458-459
A diary is a research instrument for collecting information about people’s daily practices and experiences. It can be defined as a document in which a person…   mehr
  • Buch/Buchbeitrag
  • Medien und Wissenstechnologien

Kinder und Medien in der Covid-19-Krise. Österreich im internationalen Vergleich

C. Ortner, C. Kovacs, T. Jadin - Kinder und Medien in der Covid-19-Krise. Österreich im internationalen Vergleich - Medienimpulse, Vol. 33, No. 3, 2020, pp. 40
Der Artikel widmet sich der Bedeutung von Medien im Alltag von Kindern (9 bis 13 Jahre) während der ersten Phase der Coronakrise. Dazu wurden die…   mehr
  • Journal
  • Medien und Wissenstechnologien

Hybrid Approach for Orientation-Estimation of Rotating Humans in Video Frames Acquired by Stationary Monocular Camera

D. Baumgartner, C. Praschl, T. Zucali, G. Zwettler - Hybrid Approach for Orientation-Estimation of Rotating Humans in Video Frames Acquired by Stationary Monocular Camera - Proceedings of the WSCG 2020, Pilsen, Tschechische Republik, 2020, pp. 9
The precise orientation-estimation of humans relative to the POSE of a monocular camera system is a challenging task due to the general aspects of camera…   mehr
  • Tagungsband
  • Software Technologie und Anwendungen

Children, COVID-19 and the media

M. Götz, C. Mendel, D. Lemish, N. Jennings, R. Hains, C. Ortner - Children, COVID-19 and the media - TelevIZIon, 2020, pp. 4-9
An international study in 42 coun-tries inquired children’s perception of the coronacrisis, their nowledge on COVID-19 and the role the media play in…   mehr
  • Journal
  • Medien und Wissenstechnologien

Supporting Teamwork in Industrial Virtual Reality Applications

J. Wolfartsberger, J. Zenisek, N. Wild - Supporting Teamwork in Industrial Virtual Reality Applications - Procedia Manufacturing, 2020, pp. 2-7
Virtual Reality (VR) systems allow for novel modes of visualization and interaction to support engineering design reviews. However, there are still research…   mehr
  • Journal
  • Software Technologie und Anwendungen
  • Werkstoff- und Produktionstechnik

Effects of Arrival Uncertainty on Solver Performance in Dynamic Stacking Problems

S. Raggl, A. Beham, S. Wagner, M. Affenzeller - Effects of Arrival Uncertainty on Solver Performance in Dynamic Stacking Problems - Proceedings of the 32nd European Modeling & Simulation Symposium (EMSS 2020), Online, Griechenland, 2020, pp. 193-200
  • Tagungsband
  • Produktion und Operations Management
  • Software Technologie und Anwendungen

Beyond federated learning: On confidentiality-critical machine learning applications in industry

W. Zellinger, J. Langer, e. al - Beyond federated learning: On confidentiality-critical machine learning applications in industry - International Conference on Industry 4.0 and Smart Manufacturing, Linz, Österreich, 2020, pp. 10
  • Tagungsband
  • Informations und Kommunikationssysteme

Maintenance with Augmented Reality Remote Support in Comparison to Paper-Based Instructions: Experiment and Analysis

F. Obermair, J. Althaler, J. Wolfartsberger, U. Seiler, P. Zeilinger, A. Lechner, L. Pfaffeneder, M. Richter - Maintenance with Augmented Reality Remote Support in Comparison to Paper-Based Instructions: Experiment and Analysis - IEEE xplore 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA), Bangkok, Thailand, 2020, pp. 6
Basic repair and maintenance tasks of industrial machines are usually performed by local service personnel at the location of the component to be maintained.…   mehr
  • Tagungsband
  • Produktion und Operations Management
  • Informations und Kommunikationssysteme

Gazing at Pac-Man: Lessons learned from a Eye-Tracking Study Focusing on Game Difficulty

M. Lankes, A. Stöckl - Gazing at Pac-Man: Lessons learned from a Eye-Tracking Study Focusing on Game Difficulty - Proceedings of the ACM Symposium on Eye Tracking Research and Applications, Stuttgart, Deutschland, 2020, pp. 1-5
This paper investigates the players’ gaze behavior in different game difficulty settings to explore potential use cases of gaze-informed design interventions…   mehr
  • Tagungsband
  • Medien und Wissenstechnologien

Eye Caramba: Gaze-based Assistance for Virtual Reality Aiming and Throwing Tasks in Games

M. Kocur, M. Dechant, M. Lankes, C. Wolff, R. Mandryk - Eye Caramba: Gaze-based Assistance for Virtual Reality Aiming and Throwing Tasks in Games - Proceedings of the ACM Symposium on Eye Tracking Research and Applications, Stuttgart, Deutschland, 2020, pp. 1-6
Gaze-based interaction in Virtual Reality (VR) has been attracting attention recently due to rapid advances in eye tracking technology in head-mounted…   mehr
  • Tagungsband
  • Medien und Wissenstechnologien

See, Feel, Move: Player Behaviour Analysis through Combined Visualization of Gaze, Emotions, and Movement

D. Kepplinger, G. Wallner, S. Kriglstein, M. Lankes - See, Feel, Move: Player Behaviour Analysis through Combined Visualization of Gaze, Emotions, and Movement - CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu HI, Vereinigte Staaten von Amerika, 2020, pp. 1-14
Playtesting of games often relies on a mixed-methods approach to obtain more holistic insights about and, in turn, improve the player experience. However,…   mehr
  • Tagungsband
  • Medien und Wissenstechnologien

Urheberrechtliche Relevanz von KI-generierten sowie verschlüsselten Inhalten

P. Burgstaller, E. Hermann - Urheberrechtliche Relevanz von KI-generierten sowie verschlüsselten Inhalten - Österreichsiche Blätter für gewerblichen Rechtsschutz und Urheberrecht, 2020
Der Einsatz von künstlich intelligenten (KI) Systemen tangiert beinahe alle Rechtsbereiche – vom Arbeits- und Datenschutzrecht über das Gesundheits- und Pflege…   mehr
  • Journal
  • Software Technologie und Anwendungen

Using Deep Learning for Depth Estimation and 3D Reconstruction of Humans

A. Freller, G. Zwettler - Using Deep Learning for Depth Estimation and 3D Reconstruction of Humans - Proceedings of the 32th EUROPEAN MODELING AND SIMULATION SYMPOSIUM, Athen, Griechenland, 2020, pp. 6
Deep learning depth estimation from monocular video feed is a common strategy to get rough 3D surface information when an RGB-D camera is not present. Depth…   mehr
  • Tagungsband
  • Software Technologie und Anwendungen

Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles

A. Schuler, G. Anderst-Kotsis - Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles - 2020 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Bari, Italien, 2020
Background: Third-party software libraries often serve as fundamental building blocks for developing applications. However, depending on such libraries for…   mehr
  • Tagungsband
  • Software Technologie und Anwendungen

Pre- and Post-processing Strategies for Generic Slice-wise Segmentation of Tomographic 3D datasets Utilizing U-Net Deep Learning Models Trained for Specific Diagnostic Domains

G. Zwettler, D. Holmes III, W. Backfrieder - Pre- and Post-processing Strategies for Generic Slice-wise Segmentation of Tomographic 3D datasets Utilizing U-Net Deep Learning Models Trained for Specific Diagnostic Domains - Proceedings of the VISAPP 2020, Valetta, Malta, 2020, pp. 66-78
  • Tagungsband
  • Software Technologie und Anwendungen

Exploring spatially-aware cross-device interaction techniques for mobile collaborative sensemaking

G. Desolda, C. Ardito, H. C. Jetter, R. Lanzilotti - Exploring spatially-aware cross-device interaction techniques for mobile collaborative sensemaking - INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2019, pp. 1-20
  • Journal
  • Medien und Wissenstechnologien

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