Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Rocci, A."'
Autor:
C. Ferrari, Anna Rocci, Valentina Franceschi, Federica Costa, Gaetano Donofrio, Francesca Macchi, Luca Russo, Valentina Marchica, Gabriele Missale, Nicola Giuliani
Publikováno v:
Vaccines, Vol 9, Iss 389, p 389 (2021)
Vaccines
Volume 9
Issue 4
Vaccines
Volume 9
Issue 4
COVID-19 is an ongoing pandemic caused by the highly infectious coronavirus SARS-CoV-2 that is engaging worldwide scientific research to find a timely and effective eradication strategy. Great efforts have been put into anti-COVID-19 vaccine generati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb3b706943bd65d748b1bf1cedb207ee
https://doi.org/10.1101/2021.03.12.21253435
https://doi.org/10.1101/2021.03.12.21253435
Publikováno v:
SSRN Electronic Journal.
In clusterwise regression analysis, the goal is to predict a response variable based on a set of explanatory variables, each with cluster-specific effects. Nowadays, the number of candidates is typically large: whereas some of these variables might b
Autor:
Andrea Rocci
Publikováno v:
Argumentation Library ISBN: 9783030529062
The chapter addresses the diagramming of counterarguments, i.e. of discourse moves that amount to the presentation of reasons against the acceptance of the conclusion of an extant argument. Counterarguments are of interest to those who seek to tie re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::100bfad5bd382312894483ac3add8e11
https://doi.org/10.1007/978-3-030-52907-9_8
https://doi.org/10.1007/978-3-030-52907-9_8
Autor:
Rocci Luppicini
Digital transformation is reshaping many areas of work and life within contemporary society. These include healthcare, education, government, politics, law, human rights, and ethical controversies. This chapter addresses the following questions, What
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8f375fb4baa836d08e8445c972c6835
https://doi.org/10.4018/978-1-7998-1879-3.ch001
https://doi.org/10.4018/978-1-7998-1879-3.ch001
Publikováno v:
Journal of Official Statistics, Vol 34, Iss 2, Pp 543-555 (2018)
The Frame SBS is a statistical register which has been developed at the Italian National Statistical Institute to support the annual estimation of structural business statistics (SBS). Actually, a number of core SBS are estimated by combining microda
Autor:
James Roose, Wan-Jen Hong, Shaji Kumar, Alberto Rocci, Huan Jin, Sudeep Karve, Ahmed Sawas, Stefka Tyanova, Tao Xu, Mellissa Williamson
Publikováno v:
Blood. 138:4758-4758
Background: Real-world data (RWD) derived from electronic health records are becoming increasingly important for deriving insights from clinical practice to complement findings from clinical trials. Response to treatment in multiple myeloma (MM) is a
Autor:
Valter Basso, Stefano T. Chiadò, Lorenzo Rocci, Carlo Vizzi, Michele Cencetti, Mauro Pasquinelli
Publikováno v:
Concurrent Engineering. 26:33-42
This article describes the results of the space cluster of the Use-it-wisely project, which is investigating new business models implementing continuous product-service adaptation through a sequence of small innovative steps in six key industry secto
Autor:
Elena Musi, Andrea Rocci
Publikováno v:
Argument & Computation
Argumentative indicators of discourse relations constitute crucial cues for the mining of arguments. However, a comprehensive lexicon of these linguistic devices is so far lacking due to the scarcity of corpora argumentatively annotated and the absen
Autor:
Roberto Rocci, Monia Ranalli
Publikováno v:
Statistical Learning of Complex Data ISBN: 9783030211394
In this paper, we provide an overview on the underlying response variable (URV) model-based approach to cluster and, optionally, simultaneously reduce ordinal and, optionally, continuous variables. We summarize and compare its main features discussin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2129cf274acaec85a9a23a3552c24891
https://hdl.handle.net/2108/318277
https://hdl.handle.net/2108/318277
We consider an equivariant approach imposing data-driven bounds for the variances to avoid singular and spurious solutions in maximum likelihood estimation of clusterwise linear regression models. We investigate its use in the choice of the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bb5920e44c4994bb7755cacd027e46b
http://hdl.handle.net/11573/1351560
http://hdl.handle.net/11573/1351560