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Alexander Wiebel

Prof. Dr. Alexander Wiebel

Informatik, Hochschule Worms

Erenburgerstraße 19, 67549 Worms, Raum: N 331

  • 06241/509-268
  • 06241/509-221
  • 0000-0002-6583-3092
Publikationen
Ergebnisse pro Seite:  10

Diller, Florian; Püschel, Fabian; Stockemer, Julian et al.

Holistic Approach to Modular Open Educational Resources for Computer Graphics

Eurographics Education Papers.


Mulawade, Raju N.; Garth, Christoph; Wiebel, Alexander et al.

Visual Analytics System for Understanding DeepRL-Based Charged Particle Tracking

The Visual Computer. Springer



Diller, Florian; Wiebel, Alexander; Scheuermann, Gerik

Automatic Viewpoint Selection for Interactive Motor Feedback Using Principal Component Analysis

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP. Bd. 1. 2024 S. 350 - 361


Mulawade, Raju N.; Garth, Christoph; Wiebel, Alexander

Explainable Artificial Intelligence (XAI) for Methods Working on Point Cloud Data: A Survey

Access. Bd. 12. IEEE 2024 S. 146830 - 146851


Lilligreen, Gergana; Wiebel, Alexander

Near and Far Interaction for Outdoor Augmented Reality Tree Visualization and Recommendations on Designing Augmented Reality for Use in Nature

SN Computer Science. Bd. 4. H. 3. Springer LLC 2023 S. 24801 - 24813


Schilling, Alexander; Aehle, Max; Alme, Johan et al.

Uncertainty-aware spot rejection rate as quality metric for proton therapy using a digital tracking calorimeter

Physics in Medicine & Biology. Bd. 68. H. 19. IOP Publishing 2023 194001


Lilligreen, Gergana; Henkel, Nico; Wiebel, Alexander

Near and Far Interaction for Augmented Reality Tree Visualization Outdoors

Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Setúbal: Scitepress 2022 S. 27 - 35


Mulawade, Raju Ningappa; Garth, Christoph; Wiebel, Alexander

Saliency Clouds. Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics

Archambault, D.; Peltonen, J.; Nabney I. (Hrsg). Proceedings of Machine Learning Methods in Visualisation for Big Data (2022). Genf: The Eurographics Association 2022


Eschbach, Robin; Messerschmidt, Kai; Keidel, Ralf et al.

Semi-Automatic Particle Tracking for and Visualization of Particle Detector Data

Bender, Jan; Botsch, Mario; Keim, Daniel A. (Hrsg). Proceedings Vision, Modeling, and Visualization. Genf: The Eurographics Association 2022 8 S.