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Hernandez, G.-L. (2023). Anationality: Identifying with neither here nor there . Journal of Comparative & International Higher Education, 15(1), 169-179. https://www.ojed.org/index.php/jcihe/article/view/3923 -
van Baak, J., Maher, C. A., Protas, M. E., & Hayes, B. E. (2023). Victims and Perpetrators of Cyber Harassment: The Role of Power and Control and the Use of Techniques of Neutralization. Deviant Behavior, 44(5), 690-707. https://doi.org/10.1080/01639625.2022.2088317 -
Berkhout, J., Crepaz, M., Hanegraaff, M., & Junk, W. M. (2023). Online Focus Groups as a Tool to Study Policy Professionals. Research & Politics, 10(4), 1-8. https://doi.org/10.1177/20531680231211398 -
Miranda, L. S., Basegmez du Pree, S., Ng, K. C. Y., Cheek, A., & Arina, C. (2023). Towards detecting super GeV dark matter via annihilation to neutrinos. Journal of Cosmology and Astroparticle Physics, 2023(8), Article 006. https://doi.org/10.1088/1475-7516/2023/08/006 -
Meng, C., Aliannejadi, M., & de Rijke, M. (2023). Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. In G. Faggioli, N. Ferro, J. Mothe, & F. Raiber (Eds.), Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop: co-located with The 45th European Conference on Information Retrieval (ECIR) : Dublin, Ireland, April 6th, 2023 (pp. 25-28). (CEUR Workshop Proceedings; Vol. 3366). CEUR-WS. https://ceur-ws.org/Vol-3366/paper-05.pdf -
ATLAS Collaboration (2023). Measurement of Zγγ production in pp collisions at √s = 13 TeV with the ATLAS detector. European Physical Journal C, 83(6), Article 539. https://doi.org/10.1140/epjc/s10052-023-11579-8 -
Wildi, M., Alahi, A., & Visser, A. (2023). Training traffic light behavior with end-to-end learning. In I. Petrovic, E. Menegatti, & I. Marković (Eds.), Intelligent Autonomous Systems 17: Proceedings of the 17th International Conference IAS-17 (pp. 753-764). (Lecture Notes in Networks and Systems; Vol. 577). Springer. https://doi.org/10.1007/978-3-031-22216-0_50 -
Brucklacher, M., Bohté, S. M., Mejias, J. F., & Pennartz, C. M. A. (2023). Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception. Frontiers in Computational Neuroscience, 17, Article 1207361. https://doi.org/10.3389/fncom.2023.1207361
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