Page with very little info about me

Hi, I’m Nanne van Noord and I’m a Postdoc at the Intelligent Sensory Information Systems group at the University of Amsterdam and I’m mostly interested in:

  • Machine Learning
  • Representation Learning
  • Computer Vision
  • (Digital) Cultural Heritage

I wrote my PhD thesis at Tilburg University on representation learning for artistic style, the digital version of which can be found here.


  • G Strezoski, N van Noord, M Worring (2019) Learning Task Relatedness in Multi-Task Learning for Images in Context. International Conference on Multimedia Retrieval. Link

  • N van Noord, E Postma (2017) A learned representation of artist specific colourisation. ICCV Workshop on e-Heritage. Link

  • N van Noord, E Postma (2017) Learning scale-variant and scale-invariant features for deep image classification. Pattern Recognition. Link

  • N van Noord, E Hendriks, E Postma (2015) Towards discovery of the artist’s style: Learning to recognise artists by their artworks. IEEE Signal Processing Magazine. Preprint

  • van Zaanen M, van Noord N (2014) Evaluation of selection in context-free grammar learning systems. The 12th International Conference on Grammatical Inference 193–206.

  • van Noord N, Postma E (2014) Capturing the gist of colour. Netherlands Conference on Computer Vision

  • Johnson CRJ, Messier P, Sethares WA, and others (2014) Pursuing Automated Classification of Historic Photographic Papers from Raking Light Photomicrographs. Journal of the American Institute of Conservation 53:159–170.

  • Aussems S, Goris B, Lichtenberg V, and others (2013) Unsupervised identification of compounds. In: Annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013). pp 18–25

  • van Noord N, Postma E, Hendriks E (2013) Colour-texture analysis of paintings using ICA filter banks. In: Annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013). pp 74–81

  • Messier P, Johnson R, Wilhelm H, and others (2013) Automated Surface Texture Classification of Inkjet and Photographic Media. In: NIP & Digital Fabrication. pp 85–92

  • Avontuur T, Balemans I, Elshof L, and others (2012) Developing a Part-of-Speech Tagger for Dutch Tweets. Computational Linguistics in the Netherlands Journal 2 2:34–51.

  • van Zaanen M, van Noord NJE (2012) Model merging versus model splitting context-free grammar induction. In: Proceedings of the 11th International Conference on Grammatical Inference. s.n., s.l., pp 224–236

  • Aminian M, Avontuur T, Azar Z, and others (2012) Assigning part-of-speech to Dutch tweets. In: Proceedings of the LREC workshop: @NLP can u tag #user_generated_content?!, Istanbul, Turkey. s.n., s.l., pp 9–14