Julia Niebling

24 papers A* 2B 1C 2Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Analyzing and Fine-Tuning Whisper Models for Multilingual Pilot Speech Transcription in the Cockpit.
CoRR
Kartheek Kumar Reddy Nareddy, Sarah Ternus, Julia Niebling
2025 J jnl
Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data.
CoRR
Ferdinand Rewicki, Joachim Denzler, Julia Niebling
2025 A* conf
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks.
ICML
Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling
2025 J jnl
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks.
CoRR
Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling
2024 — conf
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts.
ICPR (33)
Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling
2024 J jnl
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts.
CoRR
Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling
2024 — conf
Functional Tensor Decompositions for Physics-Informed Neural Networks.
ICPR (25)
Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler
2024 J jnl
Functional Tensor Decompositions for Physics-Informed Neural Networks.
CoRR
Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler
2024 — conf
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry.
ECML/PKDD (9)
Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler
2024 J jnl
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry.
CoRR
Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler
2023 J jnl
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation.
CoRR
Katharina Fogelberg, Sireesha Chamarthi, Roman C. Maron, Julia Niebling, Titus J. Brinker
2023 J jnl
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification.
EURASIP J. Adv. Signal Process.
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
2023 J jnl
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images.
CoRR
Sireesha Chamarthi, Katharina Fogelberg, Roman C. Maron, Titus J. Brinker, Julia Niebling
2022 C conf
Analysing the Interactions Between Training Dataset Size, Label Noise and Model Performance in Remote Sensing Data.
IGARSS
Jonas Gütter, Julia Niebling, Xiao Xiang Zhu
2022 J jnl
Is it worth it? An experimental comparison of six deep- and classical machine learning methods for unsupervised anomaly detection in time series.
CoRR
Ferdinand Rewicki, Joachim Denzler, Julia Niebling
2022 C conf
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification.
IGARSS
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
2022 A* conf
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks.
NeurIPS
Frank Nussbaum, Jakob Gawlikowski, Julia Niebling
2021 J jnl
Nonconvex constrained optimization by a filtering branch and bound.
J. Glob. Optim.
Gabriele Eichfelder, Kathrin Klamroth, Julia Niebling
2020 J jnl
An algorithmic approach to multiobjective optimization with decision uncertainty.
J. Glob. Optim.
Gabriele Eichfelder, Julia Niebling, Stefan Rocktäschel
2020 — conf
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms.
EDCC Workshops
Julia Niebling, Benjamin Baasch, Anna M. Kruspe
2020 J jnl
Solving Multiobjective Mixed Integer Convex Optimization Problems.
SIAM J. Optim.
Marianna De Santis, Gabriele Eichfelder, Julia Niebling, Stefan Rocktäschel
2019 J jnl
A Branch-and-Bound-Based Algorithm for Nonconvex Multiobjective Optimization.
SIAM J. Optim.
Julia Niebling, Gabriele Eichfelder
2015 J jnl
Eigenvalue conditions for induced subgraphs.
Discuss. Math. Graph Theory
Jochen Harant, Julia Niebling, Sebastian Richter
2015 B conf
Evaluation of multi feature fusion at score-level for appearance-based person re-identification.
IJCNN
Markus Eisenbach, Alexander Kolarow, Alexander Vorndran, Julia Niebling, Horst-Michael Gross