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pro vyhledávání: '"Pasquale Fotia"'
Autor:
Pasquale Fotia, Massimiliano Ferrara
Publikováno v:
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, Vol 101, Iss 2, p A12 (2023)
In this paper, we propose using a combination of two models, the Google model, CasualImpact, and a Bidirectional LSTM, along with an Incremental Difference in Difference model, to infer information from time series data in order to analyse the causal
Externí odkaz:
https://doaj.org/article/6b2f67a15a4d4451a6096ee17f423ed1
Autor:
Pasquale Fotia, Massimiliano Ferrara
Publikováno v:
Computer Sciences & Mathematics Forum, Vol 7, Iss 1, p 14 (2023)
A function is non-differentiable when there is a cusp or a corner point in its graph. To solve this problem, we propose a nonlinear optimization model whose objective function is the Euclidean distance function. To identify the maximum points of a fu
Externí odkaz:
https://doaj.org/article/94d3c5ac44af48e989197deb301f6199
Publikováno v:
Decisions in Economics and Finance. 46:319-333
Autor:
Pasquale Fotia, Massimiliano Ferrara
Publikováno v:
Applied Intelligence and Informatics ISBN: 9783031248016
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3350079347f03b854b457343df342931
https://doi.org/10.1007/978-3-031-24801-6_9
https://doi.org/10.1007/978-3-031-24801-6_9