Julia Niebling

Medicine · Health Sciences

10h-index274citations32works0.42yr avg
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Research Topics

Cutaneous Melanoma Detection and Management(5), Advanced Multi-Objective Optimization Algorithms(5), Advanced Optimization Algorithms Research(5), Anomaly Detection Techniques and Applications(4), Infrastructure Maintenance and Monitoring(4)

Publications32 total

Analyzing and Fine-Tuning Whisper Models for Multilingual Pilot Speech Transcription in the Cockpit
arXiv (Cornell University)·2025Open Access
Functional Tensor Decompositions for Physics-Informed Neural Networks
Lecture notes in computer science·2024· 3 cited
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
Lecture notes in computer science·2024
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
arXiv (Cornell University)·2024Open Access
Functional Tensor Decompositions for Physics-Informed Neural Networks
arXiv (Cornell University)·2024Open Access
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry
arXiv (Cornell University)·2024Open Access
Using AI for Radio (Big) Data
Astrophysics and space science library·2024
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry
Lecture notes in computer science·2024Open Access
Mitigating the influence of domain shift in skin lesion classification: A benchmark study of unsupervised domain adaptation methods
Informatics in Medicine Unlocked·2023· 12 citedOpen Access
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images
arXiv (Cornell University)·2023Open Access
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation
New Biotechnology·2023· 24 citedOpen Access
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification
EURASIP Journal on Advances in Signal Processing·2023· 12 citedOpen Access
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation
arXiv (Cornell University)·2023· 1 citedOpen Access
Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series
Applied Sciences·2023· 43 citedOpen Access
Uncertainty is not sufficient for identifying noisy labels in training data for binary segmentation of building footprints
Frontiers in Remote Sensing·2023· 2 citedOpen Access
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images
SSRN Electronic Journal·2023· 3 citedOpen Access
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
arXiv (Cornell University)·2022· 6 citedOpen Access
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium·2022· 1 cited
Analysing the Interactions Between Training Dataset Size, Label Noise and Model Performance in Remote Sensing Data
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium·2022· 1 cited
Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise
Frontiers in Remote Sensing·2022· 21 citedOpen Access
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Frequent Co-authors

Joachim Denzler(8), Xiao Xiang Zhu(7), Sireesha Chamarthi(6), Jonas Gütter(6), Gabriele Eichfelder(5), Katharina Fogelberg(5), Titus J. Brinker(5), Anna Kruspe(5), Jakob Gawlikowski(5), Ferdinand Rewicki(4), Roman C. Maron(4), Stefan Rocktäschel(2), Sudipan Saha(2), Kathrin Klamroth(2), S. Vemuri(2), Tim Büchner(2), Laines Schmalwasser(2), Jianxiang Feng(2), Marianna De Santis(1), Markus Eisenbach(1)