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Results: 80,411
Number of items: 80,411
  • Open Access
    Van Gysel, C., de Rijke, M., & Kanoulas, E. (2018). Neural vector spaces for unsupervised information retrieval. ACM Transactions on Information Systems, 36(4), Article 38. https://doi.org/10.1145/3196826
  • Open Access
    Spaaij, R., Schulenkorf, N., Jeanes, R., & Oxford, S. (2018). Participatory research in sport-for-development: Complexities, experiences and (missed) opportunities. Sport Management Review, 21(1), 25-37. https://doi.org/10.1016/j.smr.2017.05.003
  • Open Access
    Dommering, E. (2018). Reparatiewetgeving voor Wiv nodig: Bezwaren direct oppakken. Web publication or website, Netkwesties. https://www.netkwesties.nl/1200/reparatiewetgeving-voor-wiv-nodig.htm
  • Open Access
    Jurriaans-Helle, G. (2018). Een man van buitengewoon formaat. APm: Allard Pierson mededelingen, 118/119, 22-23.
  • Open Access
    Olsthoorn, J. (2018). Grotius and the Early Modern Tradition. In L. May (Ed.), Cambridge Handbook of the Just War (pp. 33-56). (Cambridge Handbooks in Philosophy). Cambridge University Press. https://doi.org/10.1017/9781316591307.004
  • Open Access
    Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2018). Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology, 9(4), 761-774. https://doi.org/10.1007/s13239-018-00372-4
  • Open Access
    Onal, K. D., Zhang, Y., Altingovde, I. S., Rahman, M. M., Karagoz, P., Braylan, A., Dang, B., Chang, H.-L., Kim, H., McNamara, Q., Angert, A., Banner, E., Khetan, V., McDonnell, T., Nguyen, A. T., Xu, D., Wallace, B. C., de Rijke, M., & Lease, M. (2018). Neural Information Retrieval: at the End of the Early Years. Information Retrieval Journal, 21(2-3), 111-182. https://doi.org/10.1007/s10791-017-9321-y
  • Open Access
    Meloni, P., Loi, D., Deriu, G., Pimentel, A. D., Sapra, D., Moser, B., Shepeleva, N., Conti, F., Benini, L., Ripolles, O., Solans, D., Pintor, M., Biggio, B., Stefanov, T., Minakova, S., Fragoulis, N., Theodorakopoulos, I., Masin, M., & Palumbo, F. (2018). ALOHA: an architectural-aware framework for deep learning at the edge. In M. Martina, & W. Fornanciari (Eds.), INTelligent Embedded Systems Architectures and Applications (INTESA): workshop proceedings 2018 : October 4, 2018, Torino, Italy (pp. 19-26). The Association for Computing Machinery. https://doi.org/10.1145/3285017.3285019
  • Open Access
    Conen, W., & de Beer, P. (2018). The value of work in a changing labour market: a review and research agenda. (AIAS-HSI Working Paper Series; No. 1). AIAS-HSI. http://aias-hsi.uva.nl/binaries/content/assets/subsites/hugo-sinzheimer-institute/working-papers/aias-hsi-wp-1-def.pdf
  • Open Access
    Baslamisli, A. S., Groenestege, T. T., Das, P., Le, H.-A., Karaoglu, S., & Gevers, T. (2018). Joint Learning of Intrinsic Images and Semantic Segmentation. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018: proceedings (Vol. VI, pp. 289-305). (Lecture Notes in Computer Science; Vol. 11210). Springer. https://doi.org/10.1007/978-3-030-01231-1_18
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