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Results: 78,791
Number of items: 78,791
  • Open Access
    Ryu, T., Valli, R., Pakmor, R., Perna, R., de Mink, S. E., & Springel, V. (2023). Close encounters of black hole-star binaries with stellar-mass black holes. Monthly Notices of the Royal Astronomical Society, 525(4), 5752-5766. https://doi.org/10.1093/mnras/stad1943
  • Open Access
    Verhulp, E. (2023). NJ 2023/86. 86. Case note on: HR, 7/10/22, 21/03062, ECLI:NL:HR:2022:1402 Nederlandse Jurisprudentie, 2023(9), 1369-1405.
  • Open Access
    Vandermeulen, N., Van Steendam, E., De Maeyer, S., & Rijlaarsdam, G. (2023). Writing process feedback based on keystroke logging and comparison with exemplars: Effects on the quality and process of synthesis texts. Written Communication, 40(1), 90-144. https://doi.org/10.1177/07410883221127998
  • Open Access
    Meijer, E. (2023). Developing multispecies education with children and animals. On_Education, 16. https://doi.org/10.17899/on_ed.2023.16.2
  • Open Access
    Nickl, P., Xu, L., Tailor, D., Möllenhoff, T., & Khan, M. E. (2023). The Memory Perturbation Equation: Understanding Model's Sensitivity to Data. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 26923-26949). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2310.19273, https://doi.org/10.52202/075280-1170
  • Open Access
    van Krieken, E., Thanapalasingam, T., Tomczak, J. M., van Harmelen, F., & ten Teije, A. (2023). A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 24586-24609). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-1069
  • Open Access
    Wu, L., Trippe, B. L., Naesseth, C. A., Blei, D. M., & Cunningham, J. P. (2023). Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 31372-31403). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2306.17775, https://doi.org/10.52202/075280-1363
  • Open Access
    Lunansky, G., Hoekstra, R. H. A., & Blanken, T. F. (2023). Disentangling the Role of Affect in the Evolution of Depressive Complaints Using Complex Dynamical Networks. Collabra: Psychology, 9, Article 74841. https://doi.org/10.1525/collabra.74841
  • Open Access
    Mergelsberg, E. L. P., de Ruijter, D., Crone, M. R., Smit, E. S., & Hoving, C. (2023). Active ingredients of interventions improving smoking cessation support by dutch primary care providers: A systematic review. Evaluation and the Health Professions, 46(1), 3-22. https://doi.org/10.1177/01632787221099941
  • Open Access
    Rinnooy Kan, W. F., Munniksma, A., & Volman, M. (2023). Diverse sources of trust: Sense of school membership, generalized social trust, and the role of a diverse school population. Journal of Applied Youth Studies, 6(4), 177-195. https://doi.org/10.1007/s43151-023-00105-y
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