Pu­bli­ka­tio­nen

[ 2022 ] [ 2021 ] [ 2019 ]

2022 [ nach oben ]

  • 1.
    Decke, J., Schmeißing, J., Botache, D., Bieshaar, M., Sick, B., Gruhl, C.: NDNET: A Unified Framework for Anomaly and Novelty Detection. International Conference on Architecture of Computing Systems (ARCS) (2022).
     
  • 2.
    Westmeier, T., Botache, D., Bieshaar, M., Sick, B.: Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. IEEE International Conference on Data Science and Advanced Analytics (DSAA) (2022).
     

2021 [ nach oben ]

  • 1.
    Botache, D., Bethke, F., Hardieck, M., Bieshaar, M., Brabetz, L., Ayeb, M., Zipf, P., Sick, B.: Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). bll. 120–130. IEEE, Washington, DC, USA (2021).
     
  • 2.
    Möller, F., Botache, D., Huseljic, D., Heidecker, F., Bieshaar, M., Sick, B.: Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD), CVPR. bll. 1–10 (2021).
     

2019 [ nach oben ]

  • 1.
    Botache, D., Dandan, L., Bieshaar, M., Sick, B.: Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition. INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft (Workshop-Beiträge). bll. 229–238. Gesellschaft für Informatik e.V., Bonn (2019).