Julia Niebling

According to our database, Julia Niebling authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry.

Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Functional Tensor Decompositions for Physics-Informed Neural Networks.

Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Exploiting Text-Image Latent Spaces for the Description of Visual Concepts.

Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification.

Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu

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.

Sireesha Chamarthi, Katharina Fogelberg, Roman C. Maron, Titus J. Brinker, Julia Niebling

CoRR, 2023

Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation.

Katharina Fogelberg, Sireesha Chamarthi, Roman C. Maron, Julia Niebling, Titus J. Brinker

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.

Ferdinand Rewicki, Joachim Denzler, Julia Niebling

CoRR, 2022

Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks.

Frank Nussbaum, Jakob Gawlikowski, Julia Niebling

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.

Jonas Gütter, Julia Niebling, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification.

Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Nonconvex constrained optimization by a filtering branch and bound.

Gabriele Eichfelder, Kathrin Klamroth, Julia Niebling

J. Glob. Optim., 2021

2020

Solving Multiobjective Mixed Integer Convex Optimization Problems.

Marianna De Santis, Gabriele Eichfelder, Julia Niebling, Stefan Rocktäschel

SIAM J. Optim., 2020

An algorithmic approach to multiobjective optimization with decision uncertainty.

Gabriele Eichfelder, Julia Niebling, Stefan Rocktäschel

J. Glob. Optim., 2020

Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms.

Julia Niebling, Benjamin Baasch, Anna M. Kruspe

Proceedings of the Dependable Computing - EDCC 2020 Workshops, 2020

2019

A Branch-and-Bound-Based Algorithm for Nonconvex Multiobjective Optimization.

Julia Niebling, Gabriele Eichfelder

SIAM J. Optim., 2019

2015

Eigenvalue conditions for induced subgraphs.

Jochen Harant, Julia Niebling, Sebastian Richter

Discuss. Math. Graph Theory, 2015

Evaluation of multi feature fusion at score-level for appearance-based person re-identification.

Markus Eisenbach, Alexander Kolarow, Alexander Vorndran, Julia Niebling, Horst-Michael Gross

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015