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Results: 77,286
Number of items: 77,286
  • Open Access
    Vidigal, G. (2024). Decentralized Enforcement of Sustainability Commitments: Rebalancing, Targeted Enforcement, and Production Requirements in Trade Agreements. In G. Vidigal, & K. Claussen (Eds.), The Sustainability Revolution in International Trade Agreements (pp. 251–268). Oxford University Press. https://doi.org/10.1093/9780191994470.003.0016
  • Open Access
    Renai, L., Del Bubba, M., Gargano, A. F. G., & Samanipour, S. (2024). Consolidating two-dimensional liquid chromatography–high-resolution tandem mass spectrometry (LC×LC-HRMS/MS) technique for the non-targeted analysis of poly- and perfluorinated substances: A trial on aqueous film-forming foams. Science of the Total Environment, 952, Article 175908. https://doi.org/10.1016/j.scitotenv.2024.175908
  • Open Access
    van der Baan, H. S., Collot D'Escury-Koenigs, A. L., & Wiers, R. W. (2024). The effectiveness of cognitive bias modification in reducing substance use in detained juveniles: An RCT. Journal of Behavior Therapy and Experimental Psychiatry, 82, Article 101916. https://doi.org/10.1016/j.jbtep.2023.101916
  • Open Access
    Resch, N., Yuan, C., & Zhang, Y. (2024). Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery. IEEE Transactions on Information Theory, 70(9), 6211-6238. https://doi.org/10.1109/TIT.2024.3430842
  • Open Access
    Cade, C., Folkertsma, M., Niesen, I., & Weggemans, J. (2024). Quantum algorithms for community detection and their empirical run-times. Quantum Information & Computation, 24(5&6), 361-410. https://doi.org/10.48550/arXiv.2203.06208, https://doi.org/10.26421/QIC24.5-6-1
  • Open Access
    van Voorst, R., & Ahlin, T. (2024). Key points for an ethnography of AI: an approach towards crucial data. Humanities and Social Sciences Communications, 11, Article 337. https://doi.org/10.1057/s41599-024-02854-4
  • Open Access
    Kok, K., & Zhou, L. (2024). Higher Chow groups with finite coefficients and refined unramified cohomology. Advances in Mathematics, 458, Part B, Article 109972. https://doi.org/10.1016/j.aim.2024.109972
  • Open Access
    He, L., Braggaar, A., Basar, E., Krahmer, E., Antheunis, M., & Wiers, R. (2024). Exploring User Engagement Through an Interaction Lens: What Textual Cues Can Tell Us about Human-Chatbot Interactions. In Proceedings of the 6th Conference on ACM Conversational User Interfaces (CUI 2024) Article 9 The Association for Computing Machinery. https://doi.org/10.1145/3640794.3665536
  • Open Access
    van der Goot, M. J., Koubayová, N., & van Reijmersdal, E. A. (2024). Understanding users’ responses to disclosed vs. undisclosed customer service chatbots: A mixed methods study. AI & Society, 39(6), 2947–2960. https://doi.org/10.1007/s00146-023-01818-7
  • Open Access
    Nath, S. S., Dayan, P., & Stevenson, C. (2024). Characterising the Creative Process in Humans and Large Language Models. In K. Grace, M. T. Llano, P. Martins, & M. Hedblom (Eds.), Proceedings of the Fifteenth International Conference on Computational Creativity: ICCC'24 : Jönköping, Sweden, 17-21 June (pp. 325-330). Article 179 Association for Computational Creativity. https://doi.org/10.48550/arXiv.2405.00899
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