Search results
Results: 80,379
Number of items: 80,379
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ATLAS Collaboration (2024). Search for pair-produced higgsinos decaying via Higgs or Z bosons to final states containing a pair of photons and a pair of b-jets with the ATLAS detector. Physics Letters B, 2024(856), Article 138938. https://doi.org/10.1016/j.physletb.2024.138938 -
Szkalej, K., & Senftleben, M. (2024). Mapping the Impact of Share Alike/Copyleft Licensing on Machine Learning and Generative AI. IViR, Universiteit van Amsterdam. https://openfuture.eu/publication/the-impact-of-share-alike-copyleft-licensing-on-generative-ai/
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Moltmaker, W., & Kauffman, L. H. (2024). On Vassiliev invariants of virtual knots. Topology and its Applications, 351, Article 108935. https://doi.org/10.1016/j.topol.2024.108935
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Berends, G., & van Tussenbroek, G. (2024). De middeleeuwse huizen van de Nijmeegse benedenstad. Resultaten van een historisch documentatieproject (1959-1973). Bulletin (KNOB), 123(2), 23-49. https://doi.org/10.48003/knob.123.2024.2.826
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Weikmann, T., Tulin, M., Hameleers, M., & de Vreese, C. (2024). Platforms verantwoordelijk houden: een stap vooruit in het bestrijden van desinformatie. Web publication or website, BENEDMO. https://benedmo.eu/2024/12/23/platforms-verantwoordelijk-houden-een-stap-vooruit-in-het-bestrijden-van-desinformatie/
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Krasakis, A. M., Yates, A., & Kanoulas, E. (2024). Contextualizing and Expanding Conversational Queries without Supervision. ACM Transactions on Information Systems, 42(3), Article 77. https://doi.org/10.1145/3632622
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Maragno, D., Buti, G., Birbil, S. I., Liao, Z., Bortfeld, T., den Hertog, D., & Ajdari, A. (2024). Embedding machine learning based toxicity models within radiotherapy treatment plan optimization. Physics in Medicine and Biology, 69(7), Article 075003. https://doi.org/10.1088/1361-6560/ad2d7e
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Dekker, A. (2024). Liquid Spaces: Politics of the Screen, an interview with Doreen A. Ríos. NECSUS, 13(1), 340-348. https://doi.org/10.25969/mediarep/22822
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Benders, T., Rattanasone, N. X., Thornton, R., Mulders, I., & Koring, L. (2024). Experimental methods to study child language. In S. Zufferey, & P. Gygax (Eds.), The Routledge Handbook of Experimental Linguistics (pp. 375-389). (Routledge handbooks in linguistics). Routledge. https://doi.org/10.4324/9781003392972-28
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Bartosh, G., Vetrov, D., & Naesseth, C. A. (2024). Neural Diffusion Models. Proceedings of Machine Learning Research, 235, 3073-3095. https://proceedings.mlr.press/v235/bartosh24a.html
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