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Buys, P., Galanis, A., Patel, V., & Regts, G. (2022). Lee-Yang zeros and the complexity of the ferromagnetic Ising model on bounded-degree graphs. Forum of Mathematics, Sigma, 10, Article e7. https://doi.org/10.1017/fms.2022.4 -
Croci, F., Vilím, J., Adamopoulou, T., Tseliou, V., Schoenmakers, P. J., Knaus, T., & Mutti, F. G. (2022). Continuous Flow Biocatalytic Reductive Amination by Co-Entrapping Dehydrogenases with Agarose Gel in a 3D-Printed Mould Reactor. ChemBioChem, 23(22), Article e202200549. https://doi.org/10.1002/cbic.202200549 -
Sugimoto, K., Allmann, S., & Kolomiets, M. V. (2022). Editorial: Oxylipins: The Front Line of Plant Interactions. Frontiers in Plant Science, 13, Article 878765. https://doi.org/10.3389/fpls.2022.878765 -
Meester, M. J., & Başlamişli, A. S. (2022). SAR Image Edge Detection: Review and Benchmark Experiments. International Journal of Remote Sensing, 43(14), 5372-5438. https://doi.org/10.1080/01431161.2022.2131480 -
Aad, G., & ATLAS Collaboration (2022). Search for lepton-flavor-violation in Z-boson decays with τ-leptons with the ATLAS detector. Physical Review Letters, 127(27), Article 271801. https://doi.org/10.1103/PhysRevLett.127.271801 -
Merbis, W., & Lodato, I. (2022). Logistic growth on networks: Exact solutions for the susceptible-infected model. Physical Review E, 105(4), Article 044303. https://doi.org/10.1103/PhysRevE.105.044303 -
Tran, H. D., & Yates, A. (2022). Dense Retrieval with Entity Views. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 1955–1964). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557285 -
Cuppen, H. M., Noble, J. A., Coussan, S., Redlich, B., & Ioppolo, S. (2022). Energy Transfer and Restructuring in Amorphous Solid Water upon Consecutive Irradiation. Journal of Physical Chemistry A, 126(47), 8859-8870. https://doi.org/10.1021/acs.jpca.2c06314 -
Cole, A., Forre, P., Louppe, G., Miller, B. K., & Weniger, C. (2022). Truncated Marginal Neural Ratio Estimation. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 1, pp. 129-143). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2021/hash/01632f7b7a127233fa1188bd6c2e42e1-Abstract.html -
Resch, N., & Yuan, C. (2022). Threshold Rates of Code Ensembles: Linear Is Best. In M. Bojańczyk, E. Merelli, & D. P. Woodruff (Eds.), 49th EATCS International Conference on Automata, Languages, and Programming: ICALP 2022, July 4-8, 2022, Paris, France Article 104 (Leibniz International Proceedings in Informatics; Vol. 229). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.48550/arXiv.2205.01513, https://doi.org/10.4230/LIPIcs.ICALP.2022.104
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