681 citations · 781 across the 7 of their papers we have counts for
9 papers
Parallel Simulation of Josephson Junctions With Multiplicative Noise
Vincenzo Pierro, Luigi Troiano, Elena Mejuto Villa +2
Parallel graphic processing units have been employed for fast simulations of the switching dynam- ics of Josephson junctions subject to critical current fluctuations. Such a system…
Adaptive binarization based on fuzzy integrals
Francesco Bardozzo, Borja De La Osa, Lubomira Horanska +6
Adaptive binarization methodologies threshold the intensity of the pixels with respect to adjacent pixels exploiting the integral images. In turn, the integral images are generally…
Deep Learning in Video Multi-Object Tracking: A Survey
Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik +3
The problem of Multiple Object Tracking (MOT) consists in following the trajectory of different objects in a sequence, usually a video. In recent years, with the rise of Deep Learn…
Stochastic first passage time accelerated with CUDA
Vincenzo Pierro, Luigi Troiano, Elena Mejuto +1
The numerical integration of stochastic trajectories to estimate the time to pass a threshold is an interesting physical quantity, for instance in Josephson junctions and atomic fo…
Regression Driven F--Transform and Application to Smoothing of Financial Time Series
Luigi Troiano, Pravesh Kriplani, Irene Diaz
In this paper we propose to extend the definition of fuzzy transform in order to consider an interpolation of models that are richer than the standard fuzzy transform. We focus on…
An Alternative Estimation of Market Volatility based on Fuzzy Transform
Luigi Troiano, Elena Mejuto Villa, Pravesh Kriplani
Realization of uncertainty of prices is captured by volatility, that is the tendency of prices to vary along a period of time. This is generally measured as standard deviation of d…
On Feature Reduction using Deep Learning for Trend Prediction in Finance
Luigi Troiano, Elena Mejuto, Pravesh Kriplani
One of the major advantages in using Deep Learning for Finance is to embed a large collection of information into investment decisions. A way to do that is by means of compression,…
Matching Media Contents with User Profiles by means of the Dempster-Shafer Theory
Luigi Troiano, Irene Díaz, Ciro Gaglione
The media industry is increasingly personalizing the offering of contents in attempt to better target the audience. This requires to analyze the relationships that goes established…
Neural Network Aided Glitch-Burst Discrimination and Glitch Classification
Salvatore Rampone, Vincenzo Pierro, Luigi Troiano +1
We investigate the potential of neural-network based classifiers for discriminating gravitational wave bursts (GWBs) of a given canonical family (e.g. core-collapse supernova wavef…