46 citations · 47 across the 5 of their papers we have counts for
5 papers
Reinterpreting Economic Complexity: A co-clustering approach
Carlo Bottai, Jacopo Di Iorio, Martina Iori
Economic growth results from countries' accumulation of organizational and technological capabilities. The Economic and Product Complexity Indices, introduced as an attempt to meas…
Contrasting pre-vaccine COVID-19 waves in Italy through Functional Data Analysis
Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa +2
We use data from 107 Italian provinces to characterize and compare mortality patterns in the first two COVID-19 epidemic waves, which occurred prior to the introduction of vaccines…
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores
Jacopo Di Iorio, Marzia A. Cremona, Francesca Chiaromonte
Motif discovery is gaining increasing attention in the domain of functional data analysis. Functional motifs are typical "shapes" or "patterns" that recur multiple times in differe…
funLOCI: a local clustering algorithm for functional data
Jacopo Di Iorio, Simone Vantini
Nowadays, more and more problems are dealing with data with one infinite continuous dimension: functional data. In this paper, we introduce the funLOCI algorithm which allows to id…
The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy
Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa +2
We investigate patterns of COVID-19 mortality across 20 Italian regions and their association with mobility, positivity, and socio-demographic, infrastructural and environmental co…