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Julia Niebling
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2020 – today
- 2024
- [c7]Laines Schmalwasser, Jakob Gawlikowski
, Joachim Denzler
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. ICPR (33) 2024: 109-125 - [c6]Ferdinand Rewicki
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry. ECML/PKDD (9) 2024: 207-222 - [i6]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 abs/2406.09825 (2024) - [i5]Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler:
Functional Tensor Decompositions for Physics-Informed Neural Networks. CoRR abs/2408.13101 (2024) - [i4]Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling:
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. CoRR abs/2410.17832 (2024) - 2023
- [j6]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): 47 (2023) - [i3]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 abs/2304.06968 (2023) - [i2]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 abs/2310.03432 (2023) - 2022
- [c5]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: 303-306 - [c4]Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu:
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. IGARSS 2022: 911-914 - [c3]Frank Nussbaum, Jakob Gawlikowski, Julia Niebling:
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. NeurIPS 2022 - [i1]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 abs/2212.11080 (2022) - 2021
- [j5]Gabriele Eichfelder
Nonconvex constrained optimization by a filtering branch and bound. J. Glob. Optim. 80(1): 31-61 (2021) - 2020
- [j4]Gabriele Eichfelder
An algorithmic approach to multiobjective optimization with decision uncertainty. J. Glob. Optim. 77(1): 3-25 (2020) - [j3]Marianna De Santis, Gabriele Eichfelder
Solving Multiobjective Mixed Integer Convex Optimization Problems. SIAM J. Optim. 30(4): 3122-3145 (2020) - [c2]Julia Niebling
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms. EDCC Workshops 2020: 78-89
2010 – 2019
- 2019
- [j2]Julia Niebling
A Branch-and-Bound-Based Algorithm for Nonconvex Multiobjective Optimization. SIAM J. Optim. 29(1): 794-821 (2019) - 2015
- [j1]Jochen Harant, Julia Niebling
Eigenvalue conditions for induced subgraphs. Discuss. Math. Graph Theory 35(2): 355-363 (2015) - [c1]Markus Eisenbach
Evaluation of multi feature fusion at score-level for appearance-based person re-identification. IJCNN 2015: 1-8
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last updated on 2024-12-23 19:29 CET by the dblp team
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