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Julia Niebling

10 papers hereh-index 10350 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author6

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV4
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedIs it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series

54 citations · 56 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CL2025

Analyzing and Fine-Tuning Whisper Models for Multilingual Pilot Speech Transcription in the Cockpit

Kartheek Kumar Reddy Nareddy, Sarah Ternus, Julia Niebling

The developments in transformer encoder-decoder architectures have led to significant breakthroughs in machine translation, Automatic Speech Recognition (ASR), and instruction-base…

cs.LG2025

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks

Laines Schmalwasser, Niklas Penzel, Joachim Denzler +1

Concepts such as objects, patterns, and shapes are how humans understand the world. Building on this intuition, concept-based explainability methods aim to study representations le…

cs.LG2025

Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data

Ferdinand Rewicki, Joachim Denzler, Julia Niebling

Detecting and classifying abnormal system states is critical for condition monitoring, but supervised methods often fall short due to the rarity of anomalies and the lack of labele…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.