Zobrazeno 1 - 10
of 8 792
pro vyhledávání: '"Amici, A"'
We introduce the one-dimensional Morse-soft-Coulomb (MsC) potential consisting of a Morse repulsive barrier smoothly connected with a soft-core Coulomb potential at the origin. This new potential has a single parameter that controls the softness of t
Externí odkaz:
http://arxiv.org/abs/2411.06199
We propose a gradient-based deep learning framework to calibrate the Heston option pricing model (Heston, 1993). Our neural network, henceforth deep differential network (DDN), learns both the Heston pricing formula for plain-vanilla options and the
Externí odkaz:
http://arxiv.org/abs/2407.15536
Autor:
William Padilha Lemes, Federica Amici
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Behavioral contagion is thought to play a significant role in social synchronization and coordination across animal taxa. While there is extensive evidence of behavioral contagion in Haplorrhines (i.e. monkeys and apes), limited research exi
Externí odkaz:
https://doaj.org/article/39e3b0e8a79d484db7b2990e9d3b338b
Autor:
Sergio De Filippis, Antonio Vita, Alessandro Cuomo, Emanuela Amici, Valeria Giovanetti, Ginevra Lombardozzi, Simone Pardossi, Luca Altieri, Andrea Cicale, Marisa Dosoli, Alessandro Galluzzo, Elena Invernizzi, Paola Rodigari, Patrizia Mascagni, Claudia Santini, Nathalie Falsetto, Marta Antonia Manes, Marco Micillo, Andrea Fagiolini
Publikováno v:
Annals of General Psychiatry, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background Although second-generation antipsychotics (SGAs) have proven to be effective therapeutic options for patients with schizophrenia, there is a notable lack of evidence on patients’ subjective perspectives regarding their well-bein
Externí odkaz:
https://doaj.org/article/1bba7e7e59764909985dab1e06d47d47
Publikováno v:
FEBS Open Bio, Vol 14, Iss 10, Pp 1718-1730 (2024)
Bordetella's genome contains a large family of periplasmic binding proteins (PBPs) known as Bugs, whose functions are mainly unassigned. Two members, Bug27 and Bug69, have previously been considered potential candidates for the uptake of small pyridi
Externí odkaz:
https://doaj.org/article/bfe352256eee4433acde49ec371ea3cd
Autor:
Clissa, Luca, Macaluso, Antonio, Morelli, Roberto, Occhinegro, Alessandra, Piscitiello, Emiliana, Taddei, Ludovico, Luppi, Marco, Amici, Roberto, Cerri, Matteo, Hitrec, Timna, Rinaldi, Lorenzo, Zoccoli, Antonio
Fluorescent Neuronal Cells v2 is a collection of fluorescence microscopy images and the corresponding ground-truth annotations, designed to foster innovative research in the domains of Life Sciences and Deep Learning. This dataset encompasses three i
Externí odkaz:
http://arxiv.org/abs/2307.14243
The goal of this paper is to investigate how the marginal and dependence structures of a variety of multivariate L\'evy models affect calibration and pricing. To this aim, we study the approaches of Luciano and Semeraro (2010) and Ballotta and Bonfig
Externí odkaz:
http://arxiv.org/abs/2303.13346
Autor:
Lishan Cui, Junbiao Wang, Fiorenza Orlando, Robertina Giacconi, Marco Malavolta, Beatrice Bartozzi, Roberta Galeazzi, Giorgia Giorgini, Luca Pesce, Francesco Cardarelli, Erica Quagliarini, Serena Renzi, Siyao Xiao, Daniela Pozzi, Mauro Provinciali, Giulio Caracciolo, Cristina Marchini, Augusto Amici
Publikováno v:
ACS Omega, Vol 9, Iss 32, Pp 34624-34635 (2024)
Externí odkaz:
https://doaj.org/article/0060469d652c4b548de5d8976672ba5b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In their natural environment, animals face a variety of ecological and social challenges, which might be linked to the emergence of different cognitive skills. To assess inter-specific variation in cognitive skills, we used ungulates as a st
Externí odkaz:
https://doaj.org/article/d273e3c7bde2408e8846924a0e6c5fe3
Autor:
Oh, Hongsup, Amici, Roman, Bomarito, Geoffrey, Zhe, Shandian, Kirby, Robert, Hochhalter, Jacob
In this paper, we present a machine learning method for the discovery of analytic solutions to differential equations. The method utilizes an inherently interpretable algorithm, genetic programming based symbolic regression. Unlike conventional accur
Externí odkaz:
http://arxiv.org/abs/2302.03175