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Results: 214,958
Number of items: 214,958
  • Open Access
    Blanke, T. (2024). Using deep learning to analyse the times of the UN Security Council. Digital Scholarship in the Humanities, 39(2), 485-499. https://doi.org/10.1093/llc/fqae009
  • Open Access
    Basak, A. (2024). Decoding accretion mysteries: Spectral-timing insights into black hole and neutron star X-ray binaries. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Maier-Hein, L., Reinke, A., Godau, P., Sánchez, C. I., & Metrics Reloaded (2024). Metrics reloaded: recommendations for image analysis validation. Nature Methods, 21(2), 195–212. https://doi.org/10.1038/s41592-023-02151-z
  • Open Access
    Cipollini, C. (2024). Crypto Staking Taxation Across Selected Countries: A Critical Evaluation. Intertax, 52(2), 118-138. https://doi.org/10.54648/taxi2024019
  • Open Access
    de Vente, C., van Ginneken, B., Hoyng, C. B., Klaver, C. C. W., & Sánchez, C. I. (2024). Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography. Medical Image Analysis, 97, Article 103259. https://doi.org/10.1016/j.media.2024.103259
  • Open Access
    Boterman, W. R., & Walraven, G. (2024). Towards perspectives for research, policy and practice: rethinking educational inequality and segregation in Dutch primary education. Educational Review, 76(1), 13-28. https://doi.org/10.1080/00131911.2022.2129590
  • Open Access
    Bueno, N., ter Haar, B., & Zekić, N. (Eds.) (2024). Labour Law Utopias: Post-Growth and Post-Productive Work Approaches. Oxford University Press. https://doi.org/10.1093/oso/9780198889755.001.0001
  • Open Access
    Wiechert, S.-M. (2024). Memory on trial: Investigating the robustness of legally relevant memory phenomena. [Thesis, fully internal, Universiteit van Amsterdam, Hebrew University of Jerusalem].
  • Open Access
    Michailidis, D., Tasnim, M., Ghebreab, S., & Santos, F. P. (2024). Tackling school segregation with transportation network interventions: an agent-based modelling approach. Autonomous Agents and Multi-Agent Systems, 38(1), Article 22. https://doi.org/10.1007/s10458-024-09652-x
  • Open Access
    del Razo, M. J., Crommelin, D., & Bolhuis, P. G. (2024). Data-driven dynamical coarse-graining for condensed matter systems. Journal of Chemical Physics, 160(2), Article 024108. https://doi.org/10.1063/5.0177553
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