FERRAGINA, PAOLO Statistiche
FERRAGINA, PAOLO
DIPARTIMENTO DI INFORMATICA
A Comparative Study of Compressed, Learned, and Traditional Indexing Methods for Integer Data
2025-01-01 Bellomo, Lorenzo; Cianci, Giuseppe; De Rosa, Luca; Ferragina, Paolo; Odorisio, Mattia
Fast, Robust, and Learned Distribution-Based Sorting
2025-01-01 Ferragina, Paolo; Odorisio, Mattia
Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial
2025-01-01 Mastorci, F.; Lazzeri, M. F. L.; Ait-Ali, L.; Marcheschi, P.; Quadrelli, P.; Mariani, M.; Margaryan, R.; Penne, W.; Savino, M.; Prencipe, G.; Sirbu, A.; Ferragina, P.; Priami, C.; Tommasi, A.; Zavattari, C.; Festa, P.; Dalmiani, S.; Pingitore, A.
Learned Compression of Nonlinear Time Series With Random Access
2025-01-01 Guerra, Andrea; Vinciguerra, Giorgio; Boffa, Antonio; Ferragina, Paolo
On the compressibility of large-scale source code datasets
2025-01-01 Boffa, Antonio; Di Cosmo, Roberto; Ferragina, Paolo; Guerra, Andrea; Manzini, Giovanni; Vinciguerra, Giorgio; Zacchiroli, Stefano
Toward Greener Matrix Operations by Lossless Compressed Formats
2025-01-01 Tosoni, Francesco; Bille, Philip; Brunacci, Valerio; Angelis, Alessio De; Ferragina, Paolo; Manzini, Giovanni
Two-level massive string dictionaries
2025-01-01 Ferragina, Paolo; Rotundo, Mariagiovanna; Vinciguerra, Giorgio
Wavelet Tree, Part I: A Brief History
2025-01-01 Ferragina, P.; Giancarlo, R.; Manzini, G.; Rosone, G.; Venturini, R.; Vitter, J. S.
Wavelet Tree, Part II: Text Indexing
2025-01-01 Ferragina, P.; Giancarlo, R.; Grossi, R.; Rosone, G.; Venturini, R.; Vitter, J. S.
CoCo-trie: Data-aware compression and indexing of strings
2024-01-01 Boffa, Antonio; Ferragina, Paolo; Tosoni, Francesco; Vinciguerra, Giorgio
Grafite: Taming Adversarial Queries with Optimal Range Filters
2024-01-01 Costa, Marco; Ferragina, Paolo; Vinciguerra, Giorgio
Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease
2024-01-01 Pingitore, Alessandro; Zhang, Chenxiang; Vassalle, Cristina; Ferragina, Paolo; Landi, Patrizia; Mastorci, Francesca; Sicari, Rosa; Tommasi, Alessandro; Zavattari, Cesare; Prencipe, Giuseppe; Sîrbu, Alina
On Nonlinear Compression Costs: When Shannon Meets Rényi
2024-01-01 Somazzi, Andrea; Ferragina, Paolo; Garlaschelli, Diego
Automated surveillance system for surgical site infections from hospital discharge letters
2023-01-01 De Angelis, L; Baglivo, F; Arzilli, G; Baggiani, A; Gemignani, G; Calamita, L; Rocchi, D; Grassi, N; Ferragina, P; Rizzo, C
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
2023-01-01 De Angelis, Luigi; Baglivo, Francesco; Arzilli, Guglielmo; Privitera, Gaetano Pierpaolo; Ferragina, Paolo; Tozzi, Alberto Eugenio; Rizzo, Caterina
Engineering a Textbook Approach to Index Massive String Dictionaries
2023-01-01 Ferragina, Paolo; Rotundo, Mariagiovanna; Vinciguerra, Giorgio
Hospital-acquired infections surveillance and prevention: using Natural Language Processing to analyze unstructured text of hospital discharge letters for surgical site infections identification and risk-stratification
2023-01-01 De Angelis, Luigi; Baglivo, Francesco; Arzilli, Guglielmo; Calamita, Leonardo; Ferragina, Paolo; Privitera, Gaetano Pierpaolo; Rizzo, Caterina
Learned Monotone Minimal Perfect Hashing
2023-01-01 Ferragina, Paolo; Lehmann, Hans-Peter; Sanders, Peter; Vinciguerra, Giorgio
On Nonlinear Learned String Indexing
2023-01-01 Ferragina, Paolo; Frasca, Marco; Cataldo Marinò, Giosuè; Vinciguerra, Giorgio
Pearls of Algorithm Engineering
2023-01-01 Ferragina, Paolo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Comparative Study of Compressed, Learned, and Traditional Indexing Methods for Integer Data | 1-gen-2025 | Bellomo, Lorenzo; Cianci, Giuseppe; De Rosa, Luca; Ferragina, Paolo; Odorisio, Mattia | |
| Fast, Robust, and Learned Distribution-Based Sorting | 1-gen-2025 | Ferragina, Paolo; Odorisio, Mattia | |
| Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial | 1-gen-2025 | Mastorci, F.; Lazzeri, M. F. L.; Ait-Ali, L.; Marcheschi, P.; Quadrelli, P.; Mariani, M.; Margaryan, R.; Penne, W.; Savino, M.; Prencipe, G.; Sirbu, A.; Ferragina, P.; Priami, C.; Tommasi, A.; Zavattari, C.; Festa, P.; Dalmiani, S.; Pingitore, A. | |
| Learned Compression of Nonlinear Time Series With Random Access | 1-gen-2025 | Guerra, Andrea; Vinciguerra, Giorgio; Boffa, Antonio; Ferragina, Paolo | |
| On the compressibility of large-scale source code datasets | 1-gen-2025 | Boffa, Antonio; Di Cosmo, Roberto; Ferragina, Paolo; Guerra, Andrea; Manzini, Giovanni; Vinciguerra, Giorgio; Zacchiroli, Stefano | |
| Toward Greener Matrix Operations by Lossless Compressed Formats | 1-gen-2025 | Tosoni, Francesco; Bille, Philip; Brunacci, Valerio; Angelis, Alessio De; Ferragina, Paolo; Manzini, Giovanni | |
| Two-level massive string dictionaries | 1-gen-2025 | Ferragina, Paolo; Rotundo, Mariagiovanna; Vinciguerra, Giorgio | |
| Wavelet Tree, Part I: A Brief History | 1-gen-2025 | Ferragina, P.; Giancarlo, R.; Manzini, G.; Rosone, G.; Venturini, R.; Vitter, J. S. | |
| Wavelet Tree, Part II: Text Indexing | 1-gen-2025 | Ferragina, P.; Giancarlo, R.; Grossi, R.; Rosone, G.; Venturini, R.; Vitter, J. S. | |
| CoCo-trie: Data-aware compression and indexing of strings | 1-gen-2024 | Boffa, Antonio; Ferragina, Paolo; Tosoni, Francesco; Vinciguerra, Giorgio | |
| Grafite: Taming Adversarial Queries with Optimal Range Filters | 1-gen-2024 | Costa, Marco; Ferragina, Paolo; Vinciguerra, Giorgio | |
| Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease | 1-gen-2024 | Pingitore, Alessandro; Zhang, Chenxiang; Vassalle, Cristina; Ferragina, Paolo; Landi, Patrizia; Mastorci, Francesca; Sicari, Rosa; Tommasi, Alessandro; Zavattari, Cesare; Prencipe, Giuseppe; Sîrbu, Alina | |
| On Nonlinear Compression Costs: When Shannon Meets Rényi | 1-gen-2024 | Somazzi, Andrea; Ferragina, Paolo; Garlaschelli, Diego | |
| Automated surveillance system for surgical site infections from hospital discharge letters | 1-gen-2023 | De Angelis, L; Baglivo, F; Arzilli, G; Baggiani, A; Gemignani, G; Calamita, L; Rocchi, D; Grassi, N; Ferragina, P; Rizzo, C | |
| ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health | 1-gen-2023 | De Angelis, Luigi; Baglivo, Francesco; Arzilli, Guglielmo; Privitera, Gaetano Pierpaolo; Ferragina, Paolo; Tozzi, Alberto Eugenio; Rizzo, Caterina | |
| Engineering a Textbook Approach to Index Massive String Dictionaries | 1-gen-2023 | Ferragina, Paolo; Rotundo, Mariagiovanna; Vinciguerra, Giorgio | |
| Hospital-acquired infections surveillance and prevention: using Natural Language Processing to analyze unstructured text of hospital discharge letters for surgical site infections identification and risk-stratification | 1-gen-2023 | De Angelis, Luigi; Baglivo, Francesco; Arzilli, Guglielmo; Calamita, Leonardo; Ferragina, Paolo; Privitera, Gaetano Pierpaolo; Rizzo, Caterina | |
| Learned Monotone Minimal Perfect Hashing | 1-gen-2023 | Ferragina, Paolo; Lehmann, Hans-Peter; Sanders, Peter; Vinciguerra, Giorgio | |
| On Nonlinear Learned String Indexing | 1-gen-2023 | Ferragina, Paolo; Frasca, Marco; Cataldo Marinò, Giosuè; Vinciguerra, Giorgio | |
| Pearls of Algorithm Engineering | 1-gen-2023 | Ferragina, Paolo |