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Poelstra, R. D. (2022). Wetswijziging WOR 1 januari 2022: bevorderden deelname medewerkers aan OR. TRA, 14(8/9), 31-35. Article 63. https://new.navigator.nl/document/id43e7a3151cb8422598ec3d8147dfa418?ctx=WKNL_CSL_201
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Peters, K., Silva, S., Wolter, T. S., Anjos, L., Van Ettekoven, N., Combette, E., Melchiori, A., Fleuren, H., den Hertog, D., & Ergun, Ö. (2022). UN world food programme: Toward zero hunger with analytics. Informs Journal on Applied Analytics, 52(1), 8-26. https://doi.org/10.1287/inte.2021.1097
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Moss, V. A., Balaguer-Núñez, L., Bolejko, K., Burtscher, L., Carr, A., Di Teodoro, E. M., Gregory, B., Hanko, E., Hill, A. S., Hughes, A., Kaper, L., Kerrison, E. F., Lockman, F. J., Lowson, N., & Stevens, A. R. H. (2022). Around the hybrid conference world in the COVID-19 era. Nature Astronomy, 6(10), 1105-1109. https://doi.org/10.1038/s41550-022-01806-9
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Ariannezhad, M., Jullien, S., Li, M., Fang, M., Schelter, S., & de Rijke, M. (2022). ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 1240-1250). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531708
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Ariannezhad, M. (2022). Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. II, pp. 455-462). (Lecture Notes in Computer Science; Vol. 13186). Springer. https://doi.org/10.1007/978-3-030-99739-7_56
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Deffayet, R., Thonet, T., Renders, J.-M., & de Rijke, M. (2022). Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives. SIGIR Forum, 56(2), Article 3. https://doi.org/10.1145/3582900.3582905
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Vardasbi, A., de Rijke, M., & Dehghani, M. (2022). Intersection of Parallels as an Early Stopping Criterion. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 1965-1974). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557366
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Fang, J., Liang, S., Meng, Z., & de Rijke, M. (2022). Hyperspherical Variational Co-embedding for Attributed Networks. ACM Transactions on Information Systems, 40(3), Article 58. https://doi.org/10.1145/3478284
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Rubart, A. K., Zurowski, B., Veer, I. M., Schön, D., Göttlich, M., Klein, J. P., Schramm, E., Wenzel, J. G., Haber, C., Schoepf, D., Sommer, J., Konrad, C., Schnell, K., & Walter, H. (2022). Precuneus connectivity and symptom severity in chronic depression✰. Psychiatry Research - Neuroimaging, 322, Article 111471. https://doi.org/10.1016/j.pscychresns.2022.111471
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Chen, Y., Wang, Y., Ren, P., Wang, M., & de Rijke, M. (2022). Bayesian Feature Interaction Selection for Factorization Machines. Artificial Intelligence, 302, Article 103589. https://doi.org/10.1016/j.artint.2021.103589
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