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 | 8 | 2021 |
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 | 7 | 2020 |
funLOCI: A Local Clustering Algorithm for Functional Data J Di Iorio, S Vantini Journal of Classification, 1-19, 2023 | 2 | 2023 |
Reinterpreting Economic Complexity: A co-clustering approach C Bottai, J Di Iorio, M Iori arXiv preprint arXiv:2406.16199, 2024 | 1 | 2024 |
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 | 1 | 2023 |
Real and digital cities: Biclustering of Milan Neighbourhoods and Foursquare Venue Categories J DI IORIO Politecnico di Milano, 2014 | 1 | 2014 |
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 |