Klein, Nadja

9 publications

JMLR 2025 Boosting Causal Additive Models Maximilian Kertel, Nadja Klein

TMLR 2025 Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection Moussa Kassem Sbeyti, Nadja Klein, Azarm Nowzad, Fikret Sivrikaya, Sahin Albayrak

WACV 2025 WeedsGalore: A Multispectral and Multitemporal UAV-Based Dataset for Crop and Weed Segmentation in Agricultural Maize Fields Ekin Celikkan, Timo Kunzmann, Yertay Yeskaliyev, Sibylle Itzerott, Nadja Klein, Martin Herold

UAI 2024 Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection Moussa Kassem-Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak

ECML-PKDD 2024 Dropout Regularization in Extended Generalized Linear Models Based on Double Exponential Families Benedikt Lütke Schwienhorst, Lucas Kock, Nadja Klein, David J. Nott

CVPRW 2024 Investigating Calibration and Corruption Robustness of Post-Hoc Pruned Perception CNNs: An Image Classification Benchmark Study Pallavi Mitra, Gesina Schwalbe, Nadja Klein

ECML-PKDD 2024 Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation Paulo Yanez Sarmiento, Simon Witzke, Nadja Klein, Bernhard Y. Renard

ECML-PKDD 2023 Informed Priors for Knowledge Integration in Trajectory Prediction Christian Schlauch, Christian Wirth, Nadja Klein

ICCVW 2023 Semantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification Ekin Celikkan, Mohammadmehdi Saberioon, Martin Herold, Nadja Klein