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Krishna, R., & van Baten, J. M. (2024). Fundamental insights into the variety of factors that influence water/alcohol membrane permeation selectivity. Journal of Membrane Science, 698, Article 122635. https://doi.org/10.1016/j.memsci.2024.122635 -
DeMasi, A., Schoneveld, E., & Berger, S. E. (2024). Three decades of infant motor development: Cohort effects in motor skill onsets. Developmental Psychology, 60(2), 243-254. https://doi.org/10.1037/dev0001628 -
Hager, P., Deffayet, R., Renders, J.-M., Zoeter, O., & de Rijke, M. (2024). Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 1546-1556). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657892 -
Schulten, N. (2024). Practitioners’ perspectives on the challenges of dealing with the interaction between mental illness and violent extremism in Countering Violent Extremism (CVE). Behavioral Sciences of Terrorism and Political Aggression, 16(4), 530-555. https://doi.org/10.1080/19434472.2022.2142268 -
Hameleers, M. (2024). Why Do Social Media Users Accept, Doubt or Resist Corrective Information? A Qualitative Analysis of Comments in Response to Corrective Information on Social Media. Journalism Studies, 25(7), 776-793. https://doi.org/10.1080/1461670X.2024.2340591 -
Regula, B., & Lami, L. (2024). Reversibility of quantum resources through probabilistic protocols. Nature Communications, 15, Article 3096. https://doi.org/10.1038/s41467-024-47243-2 -
Kosta, E., Quintais, J. P., & Kuru, T. (2024). The Implications of Generative AI in the EU Data and Copyright Protection Frameworks. Web publication or website, Human Rights Here. https://www.humanrightshere.com/post/the-implications-of-generative-ai-in-the-eu-data-and-copyright-protection-frameworks -
Zhang, Z., Zhang, Q., Gao, Z., Zhang, R., Shutova, E., Zhou, S., & Zhang, S. (2024). Gradient-based Parameter Selection for Efficient Fine-Tuning. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 28566-28577). IEEE Computer Society. https://doi.org/10.48550/arXiv.2312.10136, https://doi.org/10.1109/CVPR52733.2024.02699
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