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Verma, R., & Nalisnick, E. (2022). Calibrated Learning to Defer with One-vs-All Classifiers. Proceedings of Machine Learning Research, 162, 22184-22202. https://proceedings.mlr.press/v162/verma22c.html -
Jansen, L., Laichter, Š. L., Sinclair, A., van der Goot, M. J., Fernández, R., & Pezzelle, S. (2022). Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue. In A. Bosselut, K. Chandu, K. Dhole, V. Gangal, S. Gehrmann, Y. Jernite, J. Novikova, & L. Perez-Beltrachini (Eds.), 2nd Workshop on Natural Language Generation, Evaluation and Metrics: GEM 2022 : proceedings of the workshop : December 7, 2022 (pp. 172-188). Association for Computational Linguistics. https://doi.org/https://aclanthology.org/2022.gem-1.14 -
Hermes, J., & Kardolus, M. (2022). The Rupaul Paradox: Freedom and Stricture in a Competition Reality TV Show. Javnost - The Public, 29(1), 82-97. https://doi.org/10.1080/13183222.2021.1924541 -
Steur, L. (2022). Kapitalisme en racisme: een intieme relatie van continuïteit en verandering. Tijdschrift voor Sociale en Economische Geschiedenis, 19(3), 129-140. https://doi.org/10.52024/tseg.13144 -
Frezza, G., Veldhuis, J., & Burgers, C. (2022). Expressing negative emotions as a key to living with and coping with dementia. SSM - Qualitative Research in Health, 2, Article 100129. https://doi.org/10.1016/j.ssmqr.2022.100129
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