Nadia Burkart

14 papers B 1C 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance.
CoRR
Mathias Anneken, Nadia Burkart, Fabian Jeschke, Achim Kuwertz-Wolf, Almuth Mueller, Arne Schumann, Michael Teutsch
2025 — conf
GNN for asynchronous Spatio-Temporal Data Classification.
RTA-CSIT
Matthis Leicht, Nadia Burkart, Rashmi Ambale Gopalakrishna, Felix Bächle
2025 B conf
SABSE: Segmentation-Assisted Baseline Shapley Values.
ACIVS
Marcel Henkel, Simon Keilbach, Nadia Burkart, Arne Schumann
2022 — —
Erklärbare Künstliche Intelligenz - Steigerung der Nachvollziehbarkeit überwachter maschineller Lernverfahren.
Nadia Burkart
2022 J jnl
Explainable AI: introducing trust and comprehensibility to AI engineering.
Autom.
Nadia Burkart, Danilo Brajovic, Marco F. Huber
2022 J jnl
Validation of XAI explanations for multivariate time series classification in the maritime domain.
J. Comput. Sci.
Manjunatha Veerappa, Mathias Anneken, Nadia Burkart, Marco F. Huber
2021 J jnl
A Step Towards Global Counterfactual Explanations: Approximating the Feature Space Through Hierarchical Division and Graph Search.
Adv. Artif. Intell. Mach. Learn.
Maximilian Becker, Nadia Burkart, Pascal Birnstill, Jürgen Beyerer
2021 J jnl
A Survey on the Explainability of Supervised Machine Learning.
J. Artif. Intell. Res.
Nadia Burkart, Marco F. Huber
2021 J jnl
Are you sure? Prediction revision in automated decision-making.
Expert Syst. J. Knowl. Eng.
Nadia Burkart, Sebastian Robert, Marco F. Huber
2020 J jnl
A Survey on the Explainability of Supervised Machine Learning.
CoRR
Nadia Burkart, Marco F. Huber
2020 — conf
Batch-wise Regularization of Deep Neural Networks for Interpretability.
MFI
Nadia Burkart, Philipp Michael Faller, Elisabeth Peinsipp, Marco F. Huber
2020 — conf
Evaluation of Interpretable Association Rule Mining Methods on Time-Series in the Maritime Domain.
ICPR Workshops (3)
Manjunatha Veerappa, Mathias Anneken, Nadia Burkart
2020 — conf
Supported Decision-Making by Explainable Predictions of Ship Trajectories.
SOCO
Nadia Burkart, Marco F. Huber, Mathias Anneken
2019 C conf
Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization.
ICMLA
Nadia Burkart, Marco F. Huber, Phillip Faller