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researcher

C. Pedersen

7 papers hereh-index 431 citations11 works total

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

author position
  • first author1
  • last author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.IR1
  • eess.SP1
  • stat.ME1
same name
  • C. Pedersen — 6 papers, h 22
  • C. Pedersen — 5 papers, h 26
  • C. Pedersen — 4 papers
  • C. Pedersen — 3 papers, h 2
  • C. Pedersen — 1 paper, h 6
  • C. Pedersen — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedReusability report: Prostate cancer stratification with diverse biologically-informed neural architectures

5 citations · 12 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.LG2024★ 2 cited

An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis

Lena Todnem Bach Christensen, Dikte Straadt, Stratos Vassis +5

Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease during childhood and adolescence. The temporomandibular joints (TMJ) are among the most frequently affected…

cs.LG2024

RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings

Christian Marius Lillelund, Fernando Pannullo, Morten Opprud Jakobsen +2

Predicting the remaining useful life (RUL) of ball bearings is an active area of research, where novel machine learning techniques are continuously being applied to predict degrada…

cs.LG2024★ 4 cited

Efficient Training of Probabilistic Neural Networks for Survival Analysis

Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen

Variational Inference (VI) is a commonly used technique for approximate Bayesian inference and uncertainty estimation in deep learning models, yet it comes at a computational cost,…

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