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Results: 77,432
Number of items: 77,432
  • Open Access
    Dryhurst, A., Sloman, D. Z., & Zahda, Y. (2023). Morphogenetic Régulation in action: understanding inclusive governance, neoliberalizing processes in Palestine, and the political economy of the contemporary internet. Journal of Critical Realism, 22(5), 813-839. https://doi.org/10.1080/14767430.2023.2279950
  • Open Access
    Boss, S. (2023). DAOs: Legal and Empirical Review. (Amsterdam Law School Legal Studies Research Paper; No. 2023-27), (Institute for Information Law Research Paper; No. 2023-06), (Blockchain & Society Policy Research Lab Research Nodes; No. 2023/2). University of Amsterdam, Institute for Information Law. https://doi.org/10.2139/ssrn.4503234
  • Open Access
    Hanna, M., Zamparelli, R., & Mareček, D. (2023). The Functional Relevance of Probed Information: A Case Study. In A. Vlachos, & I. Augenstein (Eds.), The 17th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2023 : proceedings of the conference : May 2-6, 2023 (pp. 835-848). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.eacl-main.58
  • Open Access
    Eick, G. M. (2023). The evolution of welfare attitudes in Europe over the past four decades. In B. Greve (Ed.), Welfare States in a Turbulent Era (pp. 71-83). (In a Turbulent Era series). Edward Elgar Publishing. https://doi.org/10.4337/9781803926841.00012
  • Open Access
    Salvatore, C. (2023). Inference with non-probability samples and survey data integration: a science mapping study. Metron, 81(1), 83-107. https://doi.org/10.1007/s40300-023-00243-6
  • Open Access
    Troshin, S., & Niculae, V. (2023). Wrapped ß-Gaussians with compact support for exact probabilistic modeling on manifolds. Transactions on Machine Learning Research, 2023, Article 1351. https://openreview.net/forum?id=KrequDpWzt
  • Open Access
    Li, N., Qi, Y., Xin, R., & Zhao, Z. (2023). Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning. In J. He, T. Palpanas, X. Hu, A. Cuzzocrea, D. Dou, D. Slezak, W. Wang, A. Gruca, JC.-W. Lin, & R. Agrawal (Eds.), 2023 IEEE International Conference on Big Data: December 15-18, 2023, Sorrento, Italy : proceedings (pp. 102-107). IEEE. https://doi.org/10.48550/arXiv.2312.10817, https://doi.org/10.1109/BigData59044.2023.10386969
  • Open Access
    Einmahl, J. H. J., & He, Y. (2023). Extreme Value Estimation for Heterogeneous Data. Journal of Business & Economic Statistics, 41(1), 255-269. https://doi.org/10.1080/07350015.2021.2008408
  • Open Access
    Alblas, M. C., Mollen, S., Wennekers, A. M., Fransen, M. L., & van den Putte, B. (2023). Consuming media, consuming food: investigating concurrent TV viewing and eating using a 7-d time use diary survey. Public Health Nutrition, 26(4), 748-757. https://doi.org/10.1017/S1368980021002858
  • Open Access
    VanHoose, K., & Bertolini, L. (2023). The role of municipalities and their impact on the transitional capacity of city street experiments: Lessons from Ghent. Cities : The International Journal of Urban Policy and Planning, 140, Article 104402. https://doi.org/10.1016/j.cities.2023.104402
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