Julia Niebling
Orcid: 0000-0001-5413-2234
According to our database1,
Julia Niebling
authored at least 14 papers
between 2015 and 2023.
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Bibliography
2023
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification.
EURASIP J. Adv. Signal Process., December, 2023
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images.
CoRR, 2023
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation.
CoRR, 2023
2022
Is it worth it? An experimental comparison of six deep- and classical machine learning methods for unsupervised anomaly detection in time series.
CoRR, 2022
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Analysing the Interactions Between Training Dataset Size, Label Noise and Model Performance in Remote Sensing Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
J. Glob. Optim., 2021
2020
SIAM J. Optim., 2020
J. Glob. Optim., 2020
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms.
Proceedings of the Dependable Computing - EDCC 2020 Workshops, 2020
2019
SIAM J. Optim., 2019
2015
Evaluation of multi feature fusion at score-level for appearance-based person re-identification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015