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researcher

N. Aben

4 papers hereh-index 102.5k citations34 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedTowards Large-Scale Training of Pathology Foundation Models

10 citations · 15 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 10 cited

Towards Large-Scale Training of Pathology Foundation Models

kaiko. ai, Nanne Aben, Edwin D. de Jong +7

Driven by the recent advances in deep learning methods and, in particular, by the development of modern self-supervised learning algorithms, increased interest and efforts have bee…

cs.LG2021

Active WeaSuL: Improving Weak Supervision with Active Learning

Samantha Biegel, Rafah El-Khatib, Luiz Otavio Vilas Boas Oliveira +2

The availability of labelled data is one of the main limitations in machine learning. We can alleviate this using weak supervision: a framework that uses expert-defined rules $\bol…

stat.ME2019

Heterofusion: Fusing genomics data of different measurement scales

Age K. Smilde, Yipeng Song, Johan A. Westerhuis +3

In systems biology, it is becoming increasingly common to measure biochemical entities at different levels of the same biological system. Hence, data fusion problems are abundant i…

stat.ME2018★ 5 cited

Generalized simultaneous component analysis of binary and quantitative data

Yipeng Song, Johan A. Westerhuis, Nanne Aben +3

In the current era of systems biological research there is a need for the integrative analysis of binary and quantitative genomics data sets measured on the same objects. One stand…

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