Julia Niebling

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Topics

Multiobjective Optimization

Branch And Bound

Unsupervised Anomaly Detection

Top Venues

J. Glob. Optim.

Publications

Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry. CoRR (2024)
Sireesha Chamarthi, Katharina Fogelberg, Roman C. Maron, Titus J. Brinker, Julia Niebling
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images. CoRR (2023)
Katharina Fogelberg, Sireesha Chamarthi, Roman C. Maron, Julia Niebling, Titus J. Brinker
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation. CoRR (2023)
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification. EURASIP J. Adv. Signal Process. 2023 (1) (2023)
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. IGARSS (2022)
Frank Nussbaum, Jakob Gawlikowski, Julia Niebling
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. NeurIPS (2022)
Ferdinand Rewicki, Joachim Denzler, Julia Niebling
Is it worth it? An experimental comparison of six deep- and classical machine learning methods for unsupervised anomaly detection in time series. CoRR (2022)
Jonas Gütter, Julia Niebling, Xiao Xiang Zhu
Analysing the Interactions Between Training Dataset Size, Label Noise and Model Performance in Remote Sensing Data. IGARSS (2022)
Gabriele Eichfelder, Kathrin Klamroth, Julia Niebling
Nonconvex constrained optimization by a filtering branch and bound. J. Glob. Optim. 80 (1) (2021)
Marianna De Santis, Gabriele Eichfelder, Julia Niebling, Stefan Rocktäschel
Solving Multiobjective Mixed Integer Convex Optimization Problems. SIAM J. Optim. 30 (4) (2020)
Gabriele Eichfelder, Julia Niebling, Stefan Rocktäschel
An algorithmic approach to multiobjective optimization with decision uncertainty. J. Glob. Optim. 77 (1) (2020)
Julia Niebling, Benjamin Baasch, Anna M. Kruspe
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms. EDCC Workshops (2020)
Julia Niebling, Gabriele Eichfelder
A Branch-and-Bound-Based Algorithm for Nonconvex Multiobjective Optimization. SIAM J. Optim. 29 (1) (2019)
Markus Eisenbach, Alexander Kolarow, Alexander Vorndran, Julia Niebling, Horst-Michael Gross
Evaluation of multi feature fusion at score-level for appearance-based person re-identification. IJCNN (2015)
Jochen Harant, Julia Niebling, Sebastian Richter
Eigenvalue conditions for induced subgraphs. Discuss. Math. Graph Theory 35 (2) (2015)