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Ren, P., Chen, Z., Ma, J., Wang, S., Zhang, Z., Ren, Z., & Ma, T. (2018). User session level diverse reranking of search results. Neurocomputing, 274, 66-79. https://doi.org/10.1016/j.neucom.2016.05.087
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Ren, P., Chen, Z., Ren, Z., Wei, F., Nie, L., Ma, J., & de Rijke, M. (2018). Sentence relations for extractive summarization with deep neural networks. ACM Transactions on Information Systems, 36(4), Article 39. https://doi.org/10.1145/3200864
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Mei, L., Ren, P., Chen, Z., Nie, L., Ma, J., & Nie, J.-Y. (2018). An Attentive Interaction Network for Context-aware Recommendations. In CIKM '18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 157-166). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3271813
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Dutch Advisory Committee on Blockchain Research, van de Pol, J., Bodó, B., van Deventer, O., Hoepman, J.-H., van den Hoven, J., de Kok, A., van der Plas, M., Pouwelse, J., Thaens, M., & Stevens, M. (2018). Dutch Blockchain Research Agenda. Dutch Digital Delta. https://dutchblockchaincoalition.org/uploads/pdf/Dutch-Blockchain-Research-Agenda.pdf -
Lammertink, I., & Rispens, J. (2018). Statistisch leren bij kinderen met TOS. Van Horen Zeggen - online. http://vhz-online.nl/statistisch-leren-bij-kinderen-met-tos
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Dokter, A. M., Fokkema, W., Bekker, S. K., Bouten, W., Ebbinge, B. S., Müskens, G., Olff, H., van der Jeugd, H. P., & Nolet, B. A. (2018). Body stores persist as fitness correlate in a long-distance migrant released from food constraints. Behavioral Ecology, 29(5), 1157-1166. https://doi.org/10.1093/beheco/ary080
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van Overveld, T., García-Alfonso, M., Dingemanse, N. J., Bouten, W., Gangoso, L., de la Riva, M., Serrano, D., & Donázar, J. A. (2018). Food predictability and social status drive individual resource specializations in a territorial vulture. Scientific Reports, 8, Article 15155. https://doi.org/10.1038/s41598-018-33564-y -
Voskarides, N., Meij, E., Reinanda, R., Khaitan, A., Osborne, M., Stefanoni, G., Kambadur, P., & de Rijke, M. (2018). Weakly-supervised contextualization of knowledge graph facts. In SIGIR #41 proceedings : Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 765-774). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210031
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