DHS Center of Excellence - CAOE

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Visualization Engineering & Materials Science
Trajectories Engineering & Materials Science
Data mining Engineering & Materials Science
Visual Analytics Mathematics
Semantics Engineering & Materials Science
Learning systems Engineering & Materials Science
Cosmology Engineering & Materials Science
Data flow analysis Engineering & Materials Science

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Research Output 2016 2019

  • 23 Article
  • 7 Conference contribution
  • 1 Editorial
  • 1 Review article

Exploring the Sensitivity of Choropleths under Attribute Uncertainty

Huang, Z., Lu, Y., Mack, E., Chen, W. & Maciejewski, R., Jan 1 2019, (Accepted/In press) In : IEEE Transactions on Visualization and Computer Graphics.

Research output: Contribution to journalArticle

Data visualization
Statistical methods

Hierarchical Image Semantics using Probabilistic Path Propagations for Biomedical Research

Gillmann, C., Post, T., Wischgoll, T., Hagen, H. & Maciejewski, R., Jan 1 2019, (Accepted/In press) In : IEEE Computer Graphics and Applications.

Research output: Contribution to journalArticle

Image segmentation
Electric fuses

Motif-Preserving Dynamic Local Graph Cut

Zhou, D., He, J., Davulcu, H. & Maciejewski, R., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1156-1161 6 p. 8622263. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Large scale systems