Zobrazeno 1 - 10
of 592
pro vyhledávání: '"ARIA, MASSIMO"'
Ensemble methods such as random forests have transformed the landscape of supervised learning, offering highly accurate prediction through the aggregation of multiple weak learners. However, despite their effectiveness, these methods often lack trans
Externí odkaz:
http://arxiv.org/abs/2409.06439
The surge in scientific publications challenges the use of publication counts as a measure of scientific progress, requiring alternative metrics that emphasize the quality and novelty of scientific contributions rather than sheer quantity. This paper
Externí odkaz:
http://arxiv.org/abs/2407.18646
The growing success of Machine Learning (ML) is making significant improvements to predictive models, facilitating their integration in various application fields, especially the healthcare context. However, it still has limitations and drawbacks, su
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/56376
The Italian public-owned Academic Medical Centers (AMCs) are hospitals where the activities of scientific research, teaching, and patients care are fully integrated. AMCs have an enormous impact on society and country health. Recently, policymakers a
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/56365
Publikováno v:
In Economic Modelling March 2024 132
Akademický článek
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Autor:
Aria, Massimo1 aria@unina.it, Trang Le2 trang.le@bms.com, Cuccurullo, Corrado1,3 corrado.cuccurullo@unicampania.it, Belfiore, Alessandra4 alessandra.belfiore@unina.it, Choe, June5 yjchoe@sas.upenn.edu
Publikováno v:
R Journal. Dec2023, Vol. 15 Issue 4, p167-180. 14p.
Autor:
Scarano, Antonella, Aria, Massimo, Mauriello, Filomena, Riccardi, Maria Rella, Montella, Alfonso
Publikováno v:
In Accident Analysis and Prevention May 2023 184
Akademický článek
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Publikováno v:
Employee Relations: The International Journal, 2022, Vol. 44, Issue 5, pp. 1157-1178.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ER-06-2021-0243