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Department of Com­pu­ter Science
Research associate

Matthias Jakobs

Topics

  • Explainable Machine Learning with a focus on the application of Shapley values
  • Time series forecasting, especially under concept drift
  • Online model selection and ensembling

Selected Publications

Social Media

GitHub | Google Scholar | Mastodon | Twitter/X

Other Scientific Activities

Supervised Theses

  • Lisa Salewsky, 2021 (B.Sc.): Interaktive Visualisierung verschiedener Erklärbarkeitsverfahren für Neuronale Netze
  • Rahel Wilking, 2021 (M.Sc.): Untersuchung der Anfälligkeit perturbationsbasierter Erklärbarkeitsmethoden für Adversarial Attacks
  • Hanna Mykula, 2021 (B.Sc.): Online Adaptive Multivariate Time Series Forecasting