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Welcome to the "Young Researchers Seminar Series"! The Seminar will be held both on-site and online Tuesday 28th of February 2023, from 2.30 - 3.15 PM. Our guest will be Riccardo Michielan ... |
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Welcome to another seminar of the D2 Seminar Series of the Florence Center for Data Science! We're happy to host Augusto Cerqua and Marco Letta from the Department of Social Sciences and Economics of ... |
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Speaker: Nicola Prezza (Università Ca' Foscari, Venezia) Title: A Theory of (co-lex) Ordered Regular Languages Abstract: NFAs are inherently unordered objects, but they represent regular languages on which one can very naturally ... |
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Speaker: Chen-Hao Hsu (University of Bamberg) Title: How women’s employment instability affects birth transitions? The moderating role of family policies in 27 European Countries Abstract: Why women in some countries ... |
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Welcome to another seminar of the D2 Seminar Series of the Florence Center for Data Science! We're happy to host Alberto Cassese and Chiara Bocci from the Department of Statistics, Computer Science, ... |
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The Department of Statistics, Computer Science, Applications DiSIA is happy to invite you to a seminar organized with the StEering - Statistics for Engineering: design, quality and reliability and itENBIS ... |
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Speaker: Sirio Legramanti (University of Bergamo) Title: Concentration of discrepancy-based ABC via Rademacher complexity Abstract: There has been increasing interest on summary-free versions of approximate Bayesian computation (ABC), which replace ... |
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The Department of Statistics, Computer Science, Applications DiSIA as part of the activities of the UNIFI Macronode in the ARTES4.0 Competence Center organizes the following webinar scheduled for March 27, ... |
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The Florence Center for Data Science and the Department of Statistics, Computer Science, Application "G. Parenti" DiSIA in a joint event with the European University Institute EUI are happy to ... |
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Speaker: Andrea Sottosanti (Università di Padova) Title: Co-clustering Models for Spatial Transcriptomics Abstract: Spatial transcriptomics is a cutting-edge technology that, differently from traditional transcriptomic methods, allows researchers to recover the spatial organization of ... |
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