1 citations · 1 across the 3 of their papers we have counts for
3 papers
econ.GN2024
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…
stat.ME2023★ 1 cited
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…
stat.ME2023
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…