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Found 356 Documents (Results 1–100)

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Segal, Rebecca (ed.) et al., Using mathematics to understand biological complexity. From cells to populations. Selected papers of the collaborative workshop for woman in mathematical biology, University of California, Los Angeles, CA, USA, June 17–21, 2019. Cham: Springer. Assoc. Women Math. Ser. 22, 55-81 (2021).
MSC:  92D20
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Bychkov, Ilya (ed.) et al., Network algorithms, data mining, and applications. NET 2018, Moscow, Russia, May 18–19, 2018. Proceedings of the 8th international conference on network analysis. Cham: Springer. Springer Proc. Math. Stat. 315, 37-48 (2020).
MSC:  91D30 91C20 90C27
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Paul, Christophe (ed.) et al., 13th international symposium on parameterized and exact computation, IPEC 2018, August 22–24, 2018, Helsinki, Finland. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 115, Article 9, 14 p. (2019).
MSC:  68Q25 68Wxx
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Kimmel, Ron (ed.) et al., Processing, analyzing and learning of images, shapes, and forms. Part 2. Amsterdam: Elsevier/North Holland. Handb. Numer. Anal. 20, 503-531 (2019).
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Argiento, Raffaele (ed.) et al., Bayesian statistics and new generations. BAYSM 2018. Selected contributions of the 4th Bayesian Young Statistician Meeting conference, Warwick, UK, July 2–3, 2018. Cham: Springer. Springer Proc. Math. Stat. 296, 23-34 (2019).
MSC:  62G30 62H30 05C90
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Petrucci, Alessandra (ed.) et al., New statistical developments in data science – SIS 2017. Extended versions of papers based on the conference on statistics and data science: new challenges, new generations, Florence, Italy, June 28–30, 2017. Cham: Springer. Springer Proc. Math. Stat. 288, 27-38 (2019).
MSC:  62H30 05C90
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