Zobrazeno 1 - 10
of 58
pro vyhledávání: '"IODICE D'ENZA, Alfonso"'
Publikováno v:
Behaviormetrika; Jan2024, Vol. 51 Issue 1, p287-289, 3p
The Covid-19 pandemic made distance learning (DL) the only way to consistently provide an education to students of any age and level. The sudden switch from classroom learning to DL surely had an impact on the students learning experience as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::10e03bb8305838d042542666206d80e6
http://hdl.handle.net/11588/855196
http://hdl.handle.net/11588/855196
Autor:
Parola Anna, Iodice D'Enza Alfonso
Y oung adults in Neither in Employment nor in Education and Training (NEET) are at high risk of adverse health outcome, in particular of mental health problems. The aim of this study is to identify the symptomatological profiles of young Italian NEET
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::29501b15950edc8854f3c552b6bc85b5
http://hdl.handle.net/11588/855197
http://hdl.handle.net/11588/855197
In real life there are many kinds of phenomena that are better described by interval bounds than by single-valued variables. In fact, intervals take into account the imprecision due to measurement errors. When there is information about the imprecisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::6136e438bd523bffdf6f603f6045ae23
http://hdl.handle.net/11588/883430
http://hdl.handle.net/11588/883430
Publikováno v:
In Computational Statistics and Data Analysis 2008 52(6):3269-3281
Publikováno v:
Digital Finance; 20230101, Issue: Preprints p1-16, 16p
Autor:
SOLARI, Domenico, CENNAMO, Gilda, AMOROSO, Francesca, FRIO, Federico, DONNA, Piero, IODICE D'ENZA, Alfonso, MELENZANE, Antonietta, SOMMA, Teresa, TRANFA, Fausto, CAVALLO, Luigi M.
Publikováno v:
Journal of Neurosurgical Sciences; Aug2022, Vol. 66 Issue 4, p362-370, 9p
Joint data reduction (JDR) methods consist of a combination of well established unsupervised techniques such as dimension reduction and clustering. Distance-based clustering of high dimensional data sets can be problematic because of the well-known c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fda5a15553b0e3bfc6324b5fd4a25cef
http://hdl.handle.net/11588/741478
http://hdl.handle.net/11588/741478
Autor:
Markos Angelos, Iodice D'Enza Alfonso
In the era of data deluge, a major challenge is to handle large amounts of data which are produced at a high rate and are characterized by association structures changing over time. As modern applications become increasingly scalable, efficient appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::bc0542a8e7c3a5c8135828481aef60aa
http://hdl.handle.net/11588/741472
http://hdl.handle.net/11588/741472