Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Rosa Maria Mininni"'
Autor:
Andrea Andrisani, Rosa Maria Mininni, Francesca Mazzia, Giuseppina Settanni, Alessandro Iurino, Sabina Tangaro, Andrea Tateo, Roberto Bellotti
Publikováno v:
Opuscula Mathematica, Vol 39, Iss 4, Pp 453-482 (2019)
In this work we propose a novel application of Partial Differential Equations (PDEs) inpainting techniques to two medical contexts. The first one concerning recovering of concentration maps for superparamagnetic nanoparticles, used as tracers in the
Externí odkaz:
https://doaj.org/article/2c0c54fadd1d490780d6e5aede77b9ad
Publikováno v:
Journal of Forecasting. 39:569-579
The aim of this paper is to propose a new methodology that allows forecasting, through Vasicek and CIR models, of future expected interest rates based on rolling windows from observed financial market data. The novelty, apart from the use of those mo
Publikováno v:
Studies in Economics and Finance. 37:267-292
Purpose The purpose of this study is to suggest a new framework that we call the CIR#, which allows forecasting interest rates from observed financial market data even when rates are negative. In doing so, we have the objective is to maintain the mar
Publikováno v:
Journal of Mathematical Analysis and Applications. 477:1195-1223
In this paper we will study an option pricing problem in incomplete markets by an analytic point of view. The incompleteness is generated by the presence of a non- traded asset. The aim of this paper is to use the semigroup theory in order to prove e
Publikováno v:
The Journal of Risk Finance. 20:370-387
Purpose The purpose of this paper is to model interest rates from observed financial market data through a new approach to the Cox–Ingersoll–Ross (CIR) model. This model is popular among financial institutions mainly because it is a rather simple
Autor:
Cristiano Tamborrino, Rosa Maria Mininni, Antonella Falini, Graziano Castellano, Francesca Mazzia, Annalisa Appice, Donato Malerba
Publikováno v:
EAIS
Saliency detection is a very active area in computer vision. When hyperspectral images are analyzed, a big amount of data need to be processed. Hence, dimensionality reduction techniques are used to highlight salient pixels allowing us to neglect red
Autor:
Rosa Maria Mininni, Graziano Castellano, Francesca Mazzia, Cristiano Tamborrino, Antonella Falini, Donato Malerba, Annalisa Appice
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645823
LOD (1)
LOD (1)
When hyperspectral images are analyzed, a big amount of data, representing the reflectance at hundreds of wavelengths, needs to be processed. Hence, dimensionality reduction techniques are used to discard unnecessary information. In order to detect t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51cde03e7397d21b112107bb5a550155
https://doi.org/10.1007/978-3-030-64583-0_12
https://doi.org/10.1007/978-3-030-64583-0_12
Publikováno v:
Proceedings of the American Mathematical Society. 147:1165-1172
Publikováno v:
Optimal Control Applications and Methods. 39:809-818
Publikováno v:
Journal of Mathematical Analysis and Applications. 449:1321-1339
Our aim in this paper is to study the well-posedness and the dissipativity of higher-order Cahn–Hilliard equations with dynamic boundary conditions. More precisely, we prove the existence and uniqueness of solutions and the existence of the global