Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 4
Number of items: 4
  • Open Access
    Veldhoen, S., Klein, R., Wigham, M., Ordelman, R., Long, T., & van Noord, N. (2024). Exploring New Dimensions of Archives: Finding Audiovisually Similar Programmes with the Help of Neural Networks. VIEW , 13(26), 70-76. https://doi.org/10.18146/view.355
  • Open Access
    Hupkes, D., Veldhoen, S., & Zuidema, W. (2018). Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure. Journal of Artificial Intelligence Research, 61, 907-926. https://doi.org/10.1613/jair.1.11196
  • Open Access
    Hupkes, D., Veldhoen, S., & Zuidema, W. (2017). Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.1711.10203
  • Open Access
    Veldhoen, S., Hupkes, D., & Zuidema, W. (2016). Diagnostic Classifiers: Revealing how Neural Networks Process Hierarchical Structure. In T. R. Besold, A. Bordes, A. d'Avila Garcez, & G. Wayne (Eds.), Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016: co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016) : Barcelona, Spain, December 9, 2016 Article 6 (CEUR Workshop Proceedings; Vol. 1773). CEUR-WS. http://ceur-ws.org/Vol-1773/CoCoNIPS_2016_paper6.pdf
Page of