Profile of Tania Jacob

Fields of Activity / Competences

• Design and Development of Efficient Algorithms in the Detection of Anomalies
• Machine Learning, supervised as well as unsupervised
• Neural Networks / Deep Learning
• Ensemble Methods Based on Decision Trees

 

Publications

Major Publications

• Richter, L.; Dontsov, I.; Jacob, T.:
  Ensemble Weighting Strategy For Federated Learning To Handle Heterogeneous Data Distributions.
  Preprints.org, (2022). 
• Weber, N.; Holzer, P.; Jacob, T.; Ramentol, E.:
  Fed-DART and FACT: A solution for Federated Learning in a production environment.
  arXiv preprint, arXiv:2205.11267, (2022).
• Jacob, T.:
  Deep Early Anomaly Detection in Time Series.
  Master Thesis, TU Kaiserslautern, (2022).