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Results: 80,353
Number of items: 80,353
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Pfeuffer, A., van Berlo, Z. M. C., Smit, E. G., He, X., & van Reijmersdal, E. A. (2025). Lessons from Lies: The Role of Experience with Misleading Advertising in Recognizing and Resisting Ads for Counterfeit Products. In C. Boutsouki, L. Hatzithomas, A. Panopoulos, & M. K. J. Waiguny (Eds.), Advances in advertising research XV: Moving forward, looking back: Advertising in the advent of AI (pp. 339–351). (European Advertising Academy). Springer Gabler. https://doi.org/10.1007/978-3-658-49114-7_23 -
Soudani, H., Kanoulas, E., & Hasibi, F. (2025). Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025: ACL 2025 : July 27-August 1, 2025 (pp. 16596-16616). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.852 -
Mandjes, M., & Rutgers, D. T. (2025). A queue with independent and identically distributed arrivals. Journal of Applied Probability, 62(1), 319-346. https://doi.org/10.1017/jpr.2024.77 -
Jansen, F. (2025). From growth to scarcity: Can Internet Governance meet the ecological crisis? In critical infrastructure lab, & Research Network on Internet Governance (Eds.), Critical Internet Governance: From Positions to a Field (pp. 44-50). (critical infrastructure lab document series; No. CIL#011). critical infrastructure lab. https://doi.org/10.5281/zenodo.15627726 -
Luijendijk, M. J., Tesselaar, M. E. T., van Rossum, H. H., van Faassen, M., Korse, C. M., Verbeek, W. H. M., Spruit, J. R., Scheelings, P. C., Hooghiemstra, E. H., Kema, I. P., Ruhé, H. G., Schagen, S. B., & de Vries, F. E. (2025). Psychiatric and cognitive function in patients with serotonin producing neuroendocrine tumors. Translational Psychiatry, 15, Article 176. https://doi.org/10.1038/s41398-025-03272-z -
Kleibergen, F., & Zhan, Z. (2025). Double robust inference for continuous updating GMM. Quantitative Economics, 16(1), 295-327. https://doi.org/10.3982/QE2347 -
McCarthy, C., Quirijnen, L., van Zandwijk, J. P., Geradts, Z., & Worring, M. (2025). Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9(4), Article 199. https://doi.org/10.1145/3770681
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