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Modeling Node Exposure for Community Detection in Networks.

, , , и . COMPLEX NETWORKS (2), том 1078 из Studies in Computational Intelligence, стр. 233-244. Springer, (2022)

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Jean-Claude Jésior

Andreas Jesinghaus

Cornelia Jesinghaus

Adrian Jesinghaus

Hans-Werner Jesinghaus

 

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Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology, , , , , , , и . Scientific Reports, 12 (1): 18590 (2022)Differentiable modeling to unify machine learning and physical models and advance Geosciences., , , , , , , , , и 19 other автор(ы). CoRR, (2023)Modeling Node Exposure for Community Detection in Networks., , , и . COMPLEX NETWORKS (2), том 1078 из Studies in Computational Intelligence, стр. 233-244. Springer, (2022)The Janus Project: Boosting Spin-Glass Simulations Using FPGAs., , , , , , , , , и 14 other автор(ы). PDeS, стр. 227-232. International Federation of Automatic Control, (2013)Characterizing the Effect of Class Imbalance on the Learning Dynamics., , и . CoRR, (2022)Janus II: a new generation application-driven computer for spin-system simulations., , , , , , , , , и 14 other автор(ы). CoRR, (2013)Comparing Dynamics: Deep Neural Networks versus Glassy Systems., , , , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 324-333. PMLR, (2018)The jamming transition as a paradigm to understand the loss landscape of deep neural networks, , , , , , и . (2018)cite arxiv:1809.09349.Janus2: an FPGA-based supercomputer for spin glass simulations., , , , , , , , , и 15 other автор(ы). FutureHPC@ICS, стр. 2:1-2:11. ACM, (2012)Janus II: A new generation application-driven computer for spin-system simulations., , , , , , , , , и 14 other автор(ы). Comput. Phys. Commun., 185 (2): 550-559 (2014)