14 citations · 30 across the 10 of their papers we have counts for
10 papers
Pandemic Data Quality Modelling: A Bayesian Approach
Luisa Ferrari, Giancarlo Manzi, Alessandra Micheletti +2
When pandemics like COVID-19 spread around the world, the rapidly evolving situation compels officials and executives to take prompt decisions and adapt policies depending on the c…
Group pattern detection of longitudinal data using functional statistics
Rongjiao Ji, Alessandra Micheletti, Nataša Krklec Jerinkić +1
Estimations and evaluations of the main patterns of time series data in groups benefit large amounts of applications in various fields. Different from the classical auto-correlatio…
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti +1
We propose a shape fitting/registration method based on a Gaussian Processes formulation, suitable for shapes with extensive regions of missing data. Gaussian Processes are a prove…
Emotion pattern detection on facial videos using functional statistics
Rongjiao Ji, Alessandra Micheletti, Natasa Krklec Jerinkic +1
There is an increasing scientific interest in automatically analysing and understanding human behavior, with particular reference to the evolution of facial expressions and the rec…
From noisy point clouds to complete ear shapes: unsupervised pipeline
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti +1
Ears are a particularly difficult region of the human face to model, not only due to the non-rigid deformations existing between shapes but also to the challenges in processing the…
Modelling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model
Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi +4
In this paper we develop a predictive model for the spread of COVID-19 infection at a provincial (i.e. EU NUTS-3) level in Italy by using official data from the Italian Ministry of…
COVID-Pro in Italy: a dashboard for a province-based analysis
Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi +3
This paper presents an dashboard developed to analyse the outbreak of the Covid-19 infection in Italy considering daily NUTS-3 data on positive cases provided by the Italian Minist…
Breaking barriers for women in science
Demetris Avraam, Vasiliki Bitsouni, Katerina Kaouri +3
This report summarises the work and results produced at the 146th European Study Group with Industry/co-creation event with society on the challenge \textit{Breaking barriers for w…
Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic +2
We present a class of iterative fully distributed fixed point methods to solve a system of linear equations, such that each agent in the network holds one of the equations of the s…
A clustering algorithm for multivariate data streams with correlated components
Giacomo Aletti, Alessandra Micheletti
Common clustering algorithms require multiple scans of all the data to achieve convergence, and this is prohibitive when large databases, with data arriving in streams, must be pro…