Wiser: A semantic approach for expert finding in academia based on entity linking
2019-01-01 Cifariello, Paolo; Ferragina, Paolo; Ponza, Marco
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
2020-01-01 Nanni, Mirco; Andrienko, Gennady L.; Barabasi, Albert-Laslo; Boldrini, Chiara; Bonchi, Francesco; Cattuto, Ciro; Chiaromonte, Francesca; Comandè, Giovanni; Conti, Marco; Cotè, Mark; Dignum, Frank; Dignum, Virginia; Domingo-Ferrer, Josep; Ferragina, Paolo; Giannotti, Fosca; Guidotti, Riccardo; Helbing, Dirk; Kaski, Kimmo; Kertesz, Janos; Lehmann, Sune; Lepri, Bruno; Lukowicz, Paul; Matwin, Stan; Megias, David; Monreale, Anna; Morik, Katharina; Oliver, Nuria; Passarella, Andrea; Passerini, Andrea; Pedreschi, Dino; Pentland, Alex; Pianesi, Fabio; Pratesi, Francesca; Rinzivillo, Salvatore; Ruggieri, Salvatore; Siebes, Arno; Torra, Vicenc; Trasarti, Roberto; van den Hoven, Jeroen; Vespignani, Alessandro
On Computing Entity Relatedness in Wikipedia, with Applications
2020-01-01 Ponza, M.; Ferragina, P.; Chakrabarti, S.
Linear time distributed swap edge algorithms
2020-01-01 Datta, A. K.; Ferragina, P.; Larmore, L.; Pagli, L.; Prencipe, G.
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds
2020-01-01 Ferragina, Paolo; Vinciguerra, Giorgio
Early outcome detection for COVID-19 patients
2021-01-01 Sirbu, A.; Barbieri, G.; Faita, F.; Ferragina, P.; Gargani, L.; Ghiadoni, L.; Priami, C.
Motif-Raptor: a cell type-specific and transcription factor centric approach for post-GWAS prioritization of causal regulators
2021-01-01 Yao, Qm; Ferragina, P; Reshef, Y; Lettre, G; Bauer, De; Pinello, L
On the performance of learned data structures
2021-01-01 Ferragina, P.; Lillo, Fabrizio; Vinciguerra, G.
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
2021-01-01 Nanni, M.; Andrienko, G.; Barabasi, A. -L.; Boldrini, C.; Bonchi, F.; Cattuto, C.; Chiaromonte, F.; Comande, G.; Conti, M.; Cote, M.; Dignum, F.; Dignum, V.; Domingo-Ferrer, J.; Ferragina, P.; Giannotti, F.; Guidotti, R.; Helbing, D.; Kaski, K.; Kertesz, J.; Lehmann, S.; Lepri, B.; Lukowicz, P.; Matwin, S.; Jimenez, D. M.; Monreale, A.; Morik, K.; Oliver, N.; Passarella, A.; Passerini, A.; Pedreschi, D.; Pentland, A.; Pianesi, F.; Pratesi, F.; Rinzivillo, S.; Ruggieri, S.; Siebes, A.; Torra, V.; Trasarti, R.; Hoven, J.; Vespignani, A.
Compressing and Querying Integer Dictionaries Under Linearities and Repetitions
2022-01-01 Ferragina, P.; Manzini, G.; Vinciguerra, G.
BioTAGME: A Comprehensive Platform for Biological Knowledge Network Analysis
2022-01-01 Di Maria, Antonio; Alaimo, Salvatore; Bellomo, Lorenzo; Billeci, Fabrizio; Ferragina, Paolo; Ferro, Alfredo; Pulvirenti, Alfredo
A Learned Approach to Design Compressed Rank/Select Data Structures
2022-01-01 Boffa, Antonio; Ferragina, Paolo; Vinciguerra, Giorgio
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices
2022-01-01 Ferragina, P.; Manzini, G.; Gagie, T.; Koppl, D.; Navarro, G.; Striani, M.; Tosoni, F.
Locality Filtering for Efficient Ride Sharing Platforms
2022-01-01 Tosoni, F.; Ferragina, P.; Marino, A.; Resta, G.; Santi, P.
NETME: on-the-fly knowledge network construction from biomedical literature
2022-01-01 Muscolino, A.; Di Maria, A.; Rapicavoli, R. V.; Alaimo, S.; Bellomo, L.; Billeci, F.; Borzi, S.; Ferragina, P.; Ferro, A.; Pulvirenti, A.
On Nonlinear Learned String Indexing
2023-01-01 Ferragina, Paolo; Frasca, Marco; Cataldo Marinò, Giosuè; Vinciguerra, Giorgio
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
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
Grafite: Taming Adversarial Queries with Optimal Range Filters
2024-01-01 Costa, Marco; Ferragina, Paolo; Vinciguerra, Giorgio
CoCo-trie: Data-aware compression and indexing of strings
2024-01-01 Boffa, Antonio; Ferragina, Paolo; Tosoni, Francesco; Vinciguerra, Giorgio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Wiser: A semantic approach for expert finding in academia based on entity linking | 1-gen-2019 | Cifariello, Paolo; Ferragina, Paolo; Ponza, Marco | |
| Give more data, awareness and control to individual citizens, and they will help COVID-19 containment | 1-gen-2020 | Nanni, Mirco; Andrienko, Gennady L.; Barabasi, Albert-Laslo; Boldrini, Chiara; Bonchi, Francesco; Cattuto, Ciro; Chiaromonte, Francesca; Comandè, Giovanni; Conti, Marco; Cotè, Mark; Dignum, Frank; Dignum, Virginia; Domingo-Ferrer, Josep; Ferragina, Paolo; Giannotti, Fosca; Guidotti, Riccardo; Helbing, Dirk; Kaski, Kimmo; Kertesz, Janos; Lehmann, Sune; Lepri, Bruno; Lukowicz, Paul; Matwin, Stan; Megias, David; Monreale, Anna; Morik, Katharina; Oliver, Nuria; Passarella, Andrea; Passerini, Andrea; Pedreschi, Dino; Pentland, Alex; Pianesi, Fabio; Pratesi, Francesca; Rinzivillo, Salvatore; Ruggieri, Salvatore; Siebes, Arno; Torra, Vicenc; Trasarti, Roberto; van den Hoven, Jeroen; Vespignani, Alessandro | |
| On Computing Entity Relatedness in Wikipedia, with Applications | 1-gen-2020 | Ponza, M.; Ferragina, P.; Chakrabarti, S. | |
| Linear time distributed swap edge algorithms | 1-gen-2020 | Datta, A. K.; Ferragina, P.; Larmore, L.; Pagli, L.; Prencipe, G. | |
| The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds | 1-gen-2020 | Ferragina, Paolo; Vinciguerra, Giorgio | |
| Early outcome detection for COVID-19 patients | 1-gen-2021 | Sirbu, A.; Barbieri, G.; Faita, F.; Ferragina, P.; Gargani, L.; Ghiadoni, L.; Priami, C. | |
| Motif-Raptor: a cell type-specific and transcription factor centric approach for post-GWAS prioritization of causal regulators | 1-gen-2021 | Yao, Qm; Ferragina, P; Reshef, Y; Lettre, G; Bauer, De; Pinello, L | |
| On the performance of learned data structures | 1-gen-2021 | Ferragina, P.; Lillo, Fabrizio; Vinciguerra, G. | |
| Give more data, awareness and control to individual citizens, and they will help COVID-19 containment | 1-gen-2021 | Nanni, M.; Andrienko, G.; Barabasi, A. -L.; Boldrini, C.; Bonchi, F.; Cattuto, C.; Chiaromonte, F.; Comande, G.; Conti, M.; Cote, M.; Dignum, F.; Dignum, V.; Domingo-Ferrer, J.; Ferragina, P.; Giannotti, F.; Guidotti, R.; Helbing, D.; Kaski, K.; Kertesz, J.; Lehmann, S.; Lepri, B.; Lukowicz, P.; Matwin, S.; Jimenez, D. M.; Monreale, A.; Morik, K.; Oliver, N.; Passarella, A.; Passerini, A.; Pedreschi, D.; Pentland, A.; Pianesi, F.; Pratesi, F.; Rinzivillo, S.; Ruggieri, S.; Siebes, A.; Torra, V.; Trasarti, R.; Hoven, J.; Vespignani, A. | |
| Compressing and Querying Integer Dictionaries Under Linearities and Repetitions | 1-gen-2022 | Ferragina, P.; Manzini, G.; Vinciguerra, G. | |
| BioTAGME: A Comprehensive Platform for Biological Knowledge Network Analysis | 1-gen-2022 | Di Maria, Antonio; Alaimo, Salvatore; Bellomo, Lorenzo; Billeci, Fabrizio; Ferragina, Paolo; Ferro, Alfredo; Pulvirenti, Alfredo | |
| A Learned Approach to Design Compressed Rank/Select Data Structures | 1-gen-2022 | Boffa, Antonio; Ferragina, Paolo; Vinciguerra, Giorgio | |
| Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices | 1-gen-2022 | Ferragina, P.; Manzini, G.; Gagie, T.; Koppl, D.; Navarro, G.; Striani, M.; Tosoni, F. | |
| Locality Filtering for Efficient Ride Sharing Platforms | 1-gen-2022 | Tosoni, F.; Ferragina, P.; Marino, A.; Resta, G.; Santi, P. | |
| NETME: on-the-fly knowledge network construction from biomedical literature | 1-gen-2022 | Muscolino, A.; Di Maria, A.; Rapicavoli, R. V.; Alaimo, S.; Bellomo, L.; Billeci, F.; Borzi, S.; Ferragina, P.; Ferro, A.; Pulvirenti, A. | |
| On Nonlinear Learned String Indexing | 1-gen-2023 | Ferragina, Paolo; Frasca, Marco; Cataldo Marinò, Giosuè; Vinciguerra, Giorgio | |
| 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 | |
| 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 | |
| Grafite: Taming Adversarial Queries with Optimal Range Filters | 1-gen-2024 | Costa, Marco; Ferragina, Paolo; Vinciguerra, Giorgio | |
| CoCo-trie: Data-aware compression and indexing of strings | 1-gen-2024 | Boffa, Antonio; Ferragina, Paolo; Tosoni, Francesco; Vinciguerra, Giorgio |
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