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Pauer, S., Rutjens, B. T., & van Harreveld, F. (2024). Trust is good, control is better: The role of trust and personal control in response to risk. Journal of Applied Social Psychology, 54(9), 552-571. https://doi.org/10.1111/jasp.13058 -
Kroese, D. S. (2024). Schokschade en de wijze van confrontatie na het Hoogeveen-arrest: een onverhoedse toepassing in de feitenrechtspraak. Nederlands Tijdschrift voor Burgerlijk Recht, 2024(6), 125-135. Article 17. https://www.inview.nl/document/idaa81a14329b54699947d3e70848590f0?ctx=WKNL_CSL_87 -
Amanatidis, G., Birmpas, G., Fusco, F., Lazos, P., Leonardi, S., & Reiffenhäuser, R. (2024). Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness. Mathematics of operations research, 49(4), 2425-2445. https://doi.org/10.1287/moor.2022.0058 -
Wigard, I., Meyerbröker, K., Ehring, T., Topper, M., Arntz, A., & Emmelkamp, P. (2024). Skills training followed by either EMDR or narrative therapy for posttraumatic stress disorder in adult survivors of childhood abuse: a randomized controlled trial. European Journal of Psychotraumatology, 15(1), Article 2332104. https://doi.org/10.1080/20008066.2024.2332104 -
Doorenbos, L., Márquez-Neila, P., Sznitman, R., & Mettes, P. (2024). Hyperbolic Random Forests. Transactions on Machine Learning Research, 2024, Article 2195. https://openreview.net/forum?id=pjKcIzvXWR -
ATLAS Collaboration, Aad, G., Barel, M. Z., Bentvelsen, S. C. M., Cherepanova, E., de Jong, P. J., de Almeida Dias, F., Ferrari, P., Giani, T., Hayes, R. L., Kluit, P. M., Nellist, C. J. M., Rieger, J. O., Snoek, H. L., van Arneman, D. R., van Vulpen, I. B., Verkerke, W., Vermeulen, J. C., Visibile, A., ... Wolffs, Z. R. M. (2024). Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four Z+jets Kinematic Observables with the ATLAS Detector. Physical Review Letters, 133(26), Article 261803. https://doi.org/10.1103/PhysRevLett.133.261803 -
Huang, J.-H., Yang, C.-C., Shen, Y., Pacces, A. M., & Kanoulas, E. (2024). Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 4554-4562). Association for Computing Machinery. https://doi.org/10.1145/3627673.3680025 -
van den Bergh, D., Schuringa, E., & Wagenmakers, E.-M. (2024). Augmenting Predictive Models in Forensic Psychiatry with Cultural Consensus Theory. Journal of the Royal Statistical Society. Series C: Applied Statistics, 73(1), 540-556. https://doi.org/10.1093/jrsssc/qlad109 -
Visser, I., Kucharský, Š., Levelt, C., Stefan, A. M., Wagenmakers, E.-J., & Oakes, L. (2024). Bayesian sample size planning for developmental studies. Infant and Child Development, 33, Article e2412. https://doi.org/10.1002/icd.2412 -
Ramotowska, S., Archambeau, K., Augurzky, P., Schlotterbeck, F., Berberyan, H. S., Van Maanen, L., & Szymanik, J. (2024). Testing two-step models of negative quantification using a novel machine learning analysis of EEG. Language, Cognition and Neuroscience, 39(5), 632-656. https://doi.org/10.1080/23273798.2024.2345302
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