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Jacopo Di Iorio
Titolo
Citata da
Citata da
Anno
Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy
T Boschi, J Di Iorio, L Testa, MA Cremona, F Chiaromonte
Scientific reports 11 (1), 17054, 2021
55*2021
How to get away with statistics: Gamification of multivariate statistics
J Di Iorio, S Vantini
Journal of Statistics and Data Science Education 29 (3), 241-250, 2021
92021
On the bias of H-scores for comparing biclusters, and how to correct it
J Di Iorio, F Chiaromonte, MA Cremona
Bioinformatics 36 (9), 2955-2957, 2020
72020
funLOCI: A Local Clustering Algorithm for Functional Data
J Di Iorio, S Vantini
Journal of Classification, 1-19, 2023
22023
Reinterpreting Economic Complexity: A co-clustering approach
C Bottai, J Di Iorio, M Iori
arXiv preprint arXiv:2406.16199, 2024
12024
Contrasting pre-vaccine COVID-19 waves in Italy through Functional Data Analysis
T Boschi, J Di Iorio, L Testa, MA Cremona, F Chiaromonte
arXiv preprint arXiv:2307.09820, 2023
12023
Real and digital cities: Biclustering of Milan Neighbourhoods and Foursquare Venue Categories
J DI IORIO
Politecnico di Milano, 2014
12014
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores
J Di Iorio, MA Cremona, F Chiaromonte
arXiv preprint arXiv:2306.04254, 2023
2023
Biclustering algorithms and interactive tools for the exploration of multivariate and functional data
J DI IORIO
Politecnico di Milano, 2020
2020
Curve clustering for brain functional activity and synchronization
G Bertarelli, A Corbella, J Di Iorio, A Gorshechnikova, M Scott
Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25 …, 2018
2018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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