Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Konstantinos, Spiliopoulos"'
Autor:
Evaggelia Grisbolaki, Vasileios Leivaditis, Konstantinos Grapatsas, Efstratios Koletsis, Francesk Mulita, Maria Flouri, Dimos Gravanis, Georgios Vakis, Ioannis Panagiotopoulos, Manfred Dahm, Georgios-Ioannis Verras, Konstantinos Tasios, Andreas Antzoulas, Dimitrios Schizas, Admir Mulita, Konstantinos Spiliopoulos, Nikolaos Baltayiannis
Publikováno v:
Polish Journal of Thoracic and Cardiovascular Surgery, Vol 20, Iss 3, Pp 187-192 (2023)
The mediastinum constitutes an area of special surgical interest due to important anatomical relationships and histopathologic variability of mediastinal primary and metastatic tumours. Mediastinum was considered inaccessible until the end of the 19t
Externí odkaz:
https://doaj.org/article/6f7db1192bde4b0ca819e71f503ef8df
Publikováno v:
Stochastic Systems. 12:2-29
We prove that a single-layer neural network trained with the Q-learning algorithm converges in distribution to a random ordinary differential equation as the size of the model and the number of training steps become large. Analysis of the limit diffe
Publikováno v:
Stochastics and Partial Differential Equations: Analysis and Computations. 11:503-598
Publikováno v:
Stochastics and Dynamics. 23
In this paper, we consider a fully-coupled slow–fast system of McKean–Vlasov stochastic differential equations with full dependence on the slow and fast component and on the law of the slow component and derive convergence rates to its homogenize
Objective: There have been concerns about the long term safety of paclitaxel coated devices in the lower limbs. A formal systematic review and meta-analysis of randomised controlled trials (RCTs) was performed to examine the long term risk of major a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::7fdff7b40ead06e87d9c06a368e6c14d
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3033794
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3033794
Autor:
JANE ANASTASSOPOULOU, VASILIKI MAMARELI, EVANGELOS MYLONAS, PANAGIOTA KOLOVOU, IOANNIS MAMARELIS, CHRISTOPHOROS KOTOULAS, CHRISTINA MAMARELI, SOTIRIS KOTOULAS, EMMANOUIL KOUTOULAKIS, KONSTANTINOS SPILIOPOULOS, THEOPHILE THEOPHANIDES
Publikováno v:
In Vivo
Background/Aim: The pathogenesis, treatment and prevention of atherosclerosis continue to be the subject of intensive research and study by the scientific community. Based on Fourier-transform infrared spectra and 3D-Doppler echogram, we attempted to
Publikováno v:
The Annals of Probability. 49
In this paper we develop a metastability theory for a class of stochastic reaction–diffusion equations exposed to small multiplicative noise. We consider the case where the unperturbed reaction–diffusion equation features multiple asymptotically
Publikováno v:
Statistics and computing. 32(5)
We introduce a novel geometry-informed irreversible perturbation that accelerates convergence of the Langevin algorithm for Bayesian computation. It is well documented that there exist perturbations to the Langevin dynamics that preserve its invarian
Publikováno v:
Multiscale Modeling & Simulation. 18:315-350
We consider systems of slow--fast diffusions with small noise in the slow component. We construct provably logarithmic asymptotically optimal importance schemes for the estimation of rare events based on the moderate deviations principle. Using the s
Publikováno v:
SIAM Journal on Applied Mathematics. 80:725-752
Machine learning, and in particular neural network models, have revolutionized fields such as image, text, and speech recognition. Today, many important real-world applications in these areas are driven by neural networks. There are also growing appl