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Berger, M., Zavrel, J., & Groth, P. (2020). Effective distributed representations for academic expert search. In M. K. Chandrasekaran, A. de Waard, G. Feigenblat, D. Freitag, T. Ghosal, E. Hovy, P. Knoth, D. Konopnicki, P. Mayr, R. M. Patton, & M. Shmueli-Scheuer (Eds.), First Workshop on Scholarly Document Processing: EMNLP 2020 : proceedings of the workshop : November 19, 2020, Online (pp. 56-71). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.sdp-1.7 -
Koulouzis, S., Martin, P., & Zhao, Z. (2020). Virtual Infrastructure Optimisation. In Z. Zhao, & M. Hellström (Eds.), Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges (pp. 192-207). (Lecture Notes in Computer Science; Vol. 12003). Springer. https://doi.org/10.1007/978-3-030-52829-4_11 -
Aad, G., & ATLAS Collaboration (2020). Search for Magnetic Monopoles and Stable High-Electric-Charge Objects in 13 TeV Proton-Proton Collisions with the ATLAS Detector. Physical Review Letters, 124(3), Article 03802. https://doi.org/10.1103/PhysRevLett.124.031802 -
Mesarcik, M., Boonstra, A.-J., Meijer, C., Jansen, W., Ranguelova, E., & van Nieuwpoort, R. V. (2020). Deep learning assisted data inspection for radio astronomy. Monthly Notices of the Royal Astronomical Society, 496(2), 1517-1529. https://doi.org/10.1093/mnras/staa1412 -
Khan, O. S., Jónsson, B. Þ., Rudinac, S., Zahálka, J., Ragnarsdóttir, H., Þorleiksdóttir, Þ., Guðmundsson, G. Þ., Amsaleg, L., & Worring, M. (2020). Interactive Learning for Multimedia at Large. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings (Vol. I, pp. 495-510). (Lecture Notes in Computer Science; Vol. 12035). Springer. https://doi.org/10.1007/978-3-030-45439-5_33 -
Aguilar de Soto, N., Visser, F., Tyack, P. L., Alcazar, J., Ruxton, G., Arranz, P., Madsen, P. T., & Johnson, M. (2020). Fear of Killer Whales Drives Extreme Synchrony in Deep Diving Beaked Whales. Scientific Reports, 10, Article 13. https://doi.org/10.1038/s41598-019-55911-3 -
Fratrič, P., Sileno, G., van Engers, T., & Klous, S. (2020). Integrating agent-based modelling with copula theory: Preliminary insights and open problems. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. III, pp. 212-225). (Lecture Notes in Computer Science; Vol. 12139). Springer. https://doi.org/10.1007/978-3-030-50420-5_16 -
Kleer, P., Patel, V. S., & Stroh, F. J. M. (2020). Switch-Based Markov Chains for Sampling Hamiltonian Cycles in Dense Graphs. The Electronic Journal of Combinatorics, 27(4), Article P4.29 . https://doi.org/10.37236/9503 -
Hoogeboom, E., Peters, J. W. T., van den Berg, R., & Welling, M. (2020). Integer Discrete Flows and Lossless Compression. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019 (Vol. 16, pp. 12114-12124). (Advances in Neural Information Processing Systems; Vol. 32). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2019/hash/9e9a30b74c49d07d8150c8c83b1ccf07-Abstract.html
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