Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Andrea, Simonetti"'
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 15, Iss 5, Pp 1035-1047 (2019)
Seasonal influenza is a very common disease. Yearly vaccination of at-risk population groups is a well-recognized cost-effective/cost-saving preventive measure. It is, however, unclear which available alternative has the most favorable economic profi
Externí odkaz:
https://doaj.org/article/676decc85f1f400387d6806587bf87f2
Publikováno v:
Frontiers in Marine Science, Vol 7 (2020)
Fishers “local ecological knowledge” (LEK) can be used to reconstruct long-term trends of species that are at very low biomass due to overfishing. In this study, we used historical memories of Sicilian fishers to understand their perception of ch
Externí odkaz:
https://doaj.org/article/96771a3743404309bc7f7219b5f3088f
Probabilistic topic models have become one of the most widespread machine learning technique for textual analysis purpose. In this framework, Latent Dirichlet Allocation (LDA) gained more and more popularity as a text modelling technique. The idea is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::d37c85d1fae3a92e2f2f63e1e856e82c
http://hdl.handle.net/10447/531495
http://hdl.handle.net/10447/531495
Autor:
Alessandro Albano, Andrea Simonetti
Probabilistic topic models have become one of the most widespread machine learning technique for textual analysis purpose. In this framework, Latent Dirichlet Allocation (LDA) (Blei et al., 2003) gained more and more popularity as a text modelling te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::4a9e2e0f32fe50d73696505c8ae87616
http://hdl.handle.net/10447/541515
http://hdl.handle.net/10447/541515
In this paper, we propose to model retweet event sequences using a marked Hawkes process, which is a self-exciting point process where the occurrence of previous events in time increases the probability of further events. The aim is to analyse Twitte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::c51d7f2e00dce6369573a68c5200784a
https://hdl.handle.net/10447/559002
https://hdl.handle.net/10447/559002
Publikováno v:
Journal of Information Science. :016555152211483
Probabilistic topic models have become one of the most widespread machine learning techniques in textual analysis. Topic discovering is an unsupervised process that does not guarantee the interpretability of its output. Hence, the automatic evaluatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::746dcba46f56084fae30e2f3434c4bbd
https://doi.org/10.1177/01655515221148369
https://doi.org/10.1177/01655515221148369
Autor:
Simona Menegozzo, Pietro Comba, Daniela Ferrante, Marco De Santis, Giuseppe Gorini, Francesco Izzo, Corrado Magnani, Roberta Pirastu, Andrea Simonetti, Sara Tùnesi, Massimo Menegozzo
Publikováno v:
Annali dell'Istituto Superiore di Sanità, Vol 47, Iss 3, Pp 296-304 (2011)
The objective of this paper is to investigate mortality among 1247 male asbestos-cement workers employed in an asbestos-cement plant located in Naples. The cohort included 1247 men hired between 1950 and 1986. The follow-up began on January 1st 1965.
Externí odkaz:
https://doaj.org/article/aa2a74f88cb04696bb102a087ed20c0d
Autor:
Alessandro Albano, Andrea Simonetti
Topic models arise from the need of understanding and exploring large text document collections and predicting their underlying structure. Latent Dirichlet Allocation (LDA) (Blei et al., 2003) has quickly become one of the most popular text modelling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::98917d5997d5026d7fa2a1742eae3758
http://hdl.handle.net/10447/455292
http://hdl.handle.net/10447/455292
Autor:
Lorenzo Fiori, Martina Rinaldi, Cristiano De Marchis, Mariano Serrao, Alberto Ranavolo, Alessio Silvetti, Simona Castellano, Tiwana Varrecchia, Antonella Tatarelli, Ida Poni, Andrea Simonetti, Carmela Conte, Silvia Conforto, Francesco Draicchio
Publikováno v:
Human Movement Science. 66:9-21
The present study's aim was to identify the kinematic and kinetic gait patterns and to measure the energy consumption in people with amputation according to both the anatomical level of amputation and the type of prosthetic components in comparison w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f61ffadc6e2654cdd00ff6d9458c03fc
https://doi.org/10.1016/j.humov.2019.03.008
https://doi.org/10.1016/j.humov.2019.03.008
Autor:
Camillo Sartorio, Massimo Angiolini, Davide Flammini, Antonino Pietropaolo, Pietro Agostini, Ciro Alberghi, Luigi Candido, Marco Capogni, Mauro Capone, Sebastiano Cataldo, Gian Marco Contessa, Marco D’Arienzo, Alessio Del Dotto, Dario Diamanti, Danilo Dongiovanni, Mirko Farini, Paolo Ferrari, Angela Fiore, Nicola Fonnesu, Manuela Frisoni, Gianni Gadani, Angelo Gentili, Giacomo Grasso, Manuela Guardati, David Guidoni, Marco Lamberti, Luigi Lepore, Andrea Mancini, Andrea Mariani, Ranieri Marinari, Giuseppe A. Marzo, Bruno Mastroianni, Fabio Moro, Agostina Orefice, Valerio Orsetti, Tonio Pinna, Antonietta Rizzo, Alexander Rydzy, Stefano Salvi, Demis Santoli, Alessia Santucci, Luca Saraceno, Salvatore Scaglione, Valerio Sermenghi, Emanuele Serra, Andrea Simonetti, Ivan Panov Spassovsky, Nicholas Terranova, Silvano Tosti, Alberto Ubaldini, Marco Utili, Pietro Zito, Danilo Zola, Konstantina Voukelatou, Giuseppe Zummo
Publikováno v:
Environments; Volume 9; Issue 8; Pages: 106
The SORGENTINA-RF project aims at developing a 14 MeV fusion neutron source featuring an emission rate in the order of 5–7 × 1013 s−1. The plant relies on a metallic water-cooled rotating target and a deuterium (50%) and tritium (50%) ion beam.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::095bc95a366a59d9caa068f8b72f6630
https://doi.org/10.3390/environments9080106
https://doi.org/10.3390/environments9080106