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Results: 218,601
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  • Beckers, S., Chockler, H., & Halpern, J. Y. (2023). Quantifying Harm. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: IJCAI 2023, Macao, S.A.R, 19-25 August 2023 (Vol. 1, pp. 363-371). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/41
  • van der Linden, M. (2023). The proletariat and the revolution. In M. Atzeni, D. Azzellini, A. Mezzadri, P. V. Moore, & U. Apitzsch (Eds.), Handbook of Research on the Global Political Economy of Work (pp. 94-111). Edward Elgar Publishing. https://doi.org/10.4337/9781839106583.00015
  • Fadda, F., Lamura, A., & Tiribocchi, A. (2023). Lattice Boltzmann modeling of cholesteric liquid crystal droplets under an oscillatory electric field. Communications in Computational Physics, 33(1), 118-143. https://doi.org/10.4208/CICP.OA-2022-0027
  • van der Linden, M. (2023). Irish Workers and Global Class Formation. In J. Cunningham, F. Devine, & S. Tierman (Eds.), Labour History in Irish History: Irish Labour History Society 50th anniversary essays (pp. 31-44). Umiskin Press. https://pure.knaw.nl/portal/en/publications/irish-workers-and-global-class-formation
  • Heij, K., & Volberda, H. (2023). Hoe imitatie een betere wereld mogelijk maakt (en belemmert). M & O : tijdschrift voor management en organisatie, 77(1), 18-39. https://www.boomportaal.nl/tijdschrift/MO/MO_2023_03_17152
  • Song, Y., Rottschäfer, V., Vijver, M. G., & Peijnenburg, W. J. G. M. (2023). Developing and verifying a quantitative dissolution model for metal-bearing nanoparticles in aqueous media. Environmental Science: Nano, 10(7), 1790-1799. https://doi.org/10.1039/D3EN00096F
  • Koeman, N., de Jong, G., Konijn, S., Volberda, H., & Hollen, R. (2023). Kwart bedrijven niet voorbereid op in 2025 vereiste milieurapportage. Economisch-Statistische Berichten, 108(4827), 542. https://esb.nu/kwart-bedrijven-niet-voorbereid-op-in-2025-vereiste-milieurapportage/
  • Rogers, K., Le Claire, V., Frommel, J., Mandryk, R., & Nacke, L. E. (2023). Using evolutionary algorithms to target complexity levels in game economies. IEEE Transactions on Games, 15(1), 56-66. https://doi.org/10.1109/TG.2023.3238163
  • Zhang, L., Du, Y., Shen, J., & Zhen, X. (2023). Learning to Learn With Variational Inference for Cross-Domain Image Classification. IEEE Transactions on Multimedia, 25, 3319-3328. https://doi.org/10.1109/TMM.2022.3158072
  • Zhang, A., Yang, Y., Xu, J., Cao, X., Zhen, X., & Shao, L. (2023). Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Transactions on Multimedia, 25, 1773-1783. https://doi.org/10.1109/TMM.2022.3162710
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