Zobrazeno 1 - 10
of 2 813
pro vyhledávání: '"A, Patelli"'
Structural change consists of industrial diversification towards more productive, knowledge intensive activities. However, changes in the productive structure bear inherent links with job creation and income distribution. In this paper, we investigat
Externí odkaz:
http://arxiv.org/abs/2410.07906
Random Forest (RF) is a widely used machine learning algorithm known for its flexibility, user-friendliness, and high predictive performance across various domains. However, it is non-interpretable. This can limit its usefulness in applied sciences,
Externí odkaz:
http://arxiv.org/abs/2408.05537
Advances in Deep Learning bring further investigation into credibility and robustness, especially for safety-critical engineering applications such as the nuclear industry. The key challenges include the availability of data set (often scarce and spa
Externí odkaz:
http://arxiv.org/abs/2405.17862
Autor:
Caldarola, Bernardo, Mazzilli, Dario, Napolitano, Lorenzo, Patelli, Aurelio, Sbardella, Angelica
Economic Complexity (EC) methods have gained increasing popularity across fields and disciplines. In particular, the EC toolbox has proved particularly promising in the study of complex and interrelated phenomena, such as the transition towards a gre
Externí odkaz:
http://arxiv.org/abs/2308.07172
Identifying the rank of species in a social or ecological network is a difficult task, since the rank of each species is invariably determined by complex interactions stipulated with other species. Simply put, the rank of a species is a function of t
Externí odkaz:
http://arxiv.org/abs/2308.00986
Autor:
Marta Cozzi, Stefania Magri, Barbara Tedesco, Guglielmo Patelli, Veronica Ferrari, Elena Casarotto, Marta Chierichetti, Paola Pramaggiore, Laura Cornaggia, Margherita Piccolella, Mariarita Galbiati, Paola Rusmini, Valeria Crippa, Jessica Mandrioli, Davide Pareyson, Chiara Pisciotta, Stefano D’Arrigo, Antonia Ratti, Lorenzo Nanetti, Caterina Mariotti, Elisa Sarto, Viviana Pensato, Cinzia Gellera, Daniela Di Bella, Riccardo M. Cristofani, Franco Taroni, Angelo Poletti
Publikováno v:
Cell Death and Disease, Vol 15, Iss 9, Pp 1-16 (2024)
Abstract Mutations targeting distinct domains of the neuron-specific kinesin KIF5A associate with different neurodegenerative/neurodevelopmental disorders, but the molecular bases of this clinical heterogeneity are unknown. We characterised five key
Externí odkaz:
https://doaj.org/article/4ee9d6c2a3624724948ed40d302b0625
Autor:
Veronica Ferrari, Barbara Tedesco, Marta Cozzi, Marta Chierichetti, Elena Casarotto, Paola Pramaggiore, Laura Cornaggia, Ali Mohamed, Guglielmo Patelli, Margherita Piccolella, Riccardo Cristofani, Valeria Crippa, Mariarita Galbiati, Angelo Poletti, Paola Rusmini
Publikováno v:
Cellular & Molecular Biology Letters, Vol 29, Iss 1, Pp 1-25 (2024)
Abstract Lysosomes are acidic organelles involved in crucial intracellular functions, including the degradation of organelles and protein, membrane repair, phagocytosis, endocytosis, and nutrient sensing. Given these key roles of lysosomes, maintaini
Externí odkaz:
https://doaj.org/article/77973fc44b674b11964c2d10aa083849
Publikováno v:
2023 J. Phys. Complex. 4 045011
We revise the procedure proposed by Balassa to infer comparative advantage, which is a standard tool, in Economics, to analyze specialization (of countries, regions, etc.). Balassa's approach compares the export of a product for each country with wha
Externí odkaz:
http://arxiv.org/abs/2304.12245
Random Forest (RF) is a well-known data-driven algorithm applied in several fields thanks to its flexibility in modeling the relationship between the response variable and the predictors, also in case of strong non-linearities. In environmental appli
Externí odkaz:
http://arxiv.org/abs/2303.04693
Autor:
Miralles-Dolz, Enrique, Gray, Ander, Patelli, Edoardo, Ferson, Scott, Kreinovich, Vladik, Kosheleva, Olga
In many practical situations, we know the probabilities $a$ and $b$ of two events $A$ and $B$, and we want to estimate the joint probability ${\rm Prob}(A\,\&\,B)$. The algorithm that estimates the joint probability based on the known values $a$ and
Externí odkaz:
http://arxiv.org/abs/2301.05507