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van Woerkom, W., Grossi, D., Prakken, H., & Verheij, B. (2024). A Case-Based-Reasoning Analysis of the COMPAS Dataset. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems: JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024 (pp. 180-190). (Frontiers in Artificial Intelligence and Applications; Vol. 395). IOS Press. https://doi.org/10.3233/FAIA241244 -
Bettinazzi, E. L. M., Jacqueminet, A., Neumann, K., & Snoeren, P. (2024). Media Coverage of Firms in the Presence of Multiple Signals: A Configurational Approach. Academy of Management Journal, 67(1), 150-177. https://doi.org/10.5465/amj.2020.1791 -
Keller, A. A., Zheng, Y., Praetorius, A., Quik, J. T. K., & Nowack, B. (2024). Predicting environmental concentrations of nanomaterials for exposure assessment - a review. Nanoimpact, 33, Article 100496. https://doi.org/10.1016/j.impact.2024.100496 -
Hameleers, M., van der Meer, T. G. L. A., & Dobber, T. (2024). Distorting the truth versus blatant lies: The effects of different degrees of deception in domestic and foreign political deepfakes. Computers in Human Behavior, 152, Article 108096. https://doi.org/10.1016/j.chb.2023.108096 -
The DUNE collaboration (2024). DUNE Phase II: scientific opportunities, detector concepts, technological solutions. Journal of Instrumentation, 19(12), Article P12005. https://doi.org/10.1088/1748-0221/19/12/P12005 -
Du, Y., Sun, H., Zhen, X., Xu, J., Yin, Y., Shao, L., & Snoek, C. G. M. (2024). MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(3), 1464-1478. https://doi.org/10.1109/TPAMI.2022.3154930 -
Belavusau, U. (2024). Historical Imagery and Mnemonic Constitutionalism in Belarus. Review of Central and East European Law, 49(2-4), 324-349. https://doi.org/10.1163/15730352-bja10105
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