Nadia Burkart

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 10

Top Topics

Association Rule Mining

Supervised Machine Learning

Manually Annotated

Top Venues

Expert Syst. J. Knowl. Eng.

J. Comput. Sci.

J. Artif. Intell. Res.

Publications

Manjunatha Veerappa, Mathias Anneken, Nadia Burkart, Marco F. Huber
Validation of XAI explanations for multivariate time series classification in the maritime domain. J. Comput. Sci. 58 (2022)
Nadia Burkart, Danilo Brajovic, Marco F. Huber
Explainable AI: introducing trust and comprehensibility to AI engineering. Autom. 70 (9) (2022)
Maximilian Becker, Nadia Burkart, Pascal Birnstill, Jürgen Beyerer
A Step Towards Global Counterfactual Explanations: Approximating the Feature Space Through Hierarchical Division and Graph Search. Adv. Artif. Intell. Mach. Learn. 1 (2) (2021)
Nadia Burkart, Sebastian Robert, Marco F. Huber
Are you sure? Prediction revision in automated decision-making. Expert Syst. J. Knowl. Eng. 38 (1) (2021)
Nadia Burkart, Marco F. Huber
A Survey on the Explainability of Supervised Machine Learning. J. Artif. Intell. Res. 70 (2021)
Nadia Burkart, Philipp M. Faller, Elisabeth Peinsipp, Marco F. Huber
Batch-wise Regularization of Deep Neural Networks for Interpretability. MFI (2020)
Manjunatha Veerappa, Mathias Anneken, Nadia Burkart
Evaluation of Interpretable Association Rule Mining Methods on Time-Series in the Maritime Domain. ICPR Workshops (3) (2020)
Nadia Burkart, Marco F. Huber
A Survey on the Explainability of Supervised Machine Learning. CoRR (2020)
Nadia Burkart, Marco F. Huber, Mathias Anneken
Supported Decision-Making by Explainable Predictions of Ship Trajectories. SOCO (2020)
Nadia Burkart, Marco F. Huber, Phillip Faller
Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization. ICMLA (2019)