Sfoglia per Autore
Why are learned indexes so effective?
2020-01-01 Ferragina, Paolo; Lillo, Fabrizio; Vinciguerra, Giorgio
Learned Data Structures
2020-01-01 Ferragina, Paolo; Vinciguerra, Giorgio
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds
2020-01-01 Ferragina, Paolo; Vinciguerra, Giorgio
Procedimento di Compressione e ricerca su un insieme di dati basato su strategie multiple
2021-01-01 Ferragina, Paolo; Manzini, Giovanni; Vinciguerra, Giorgio
A "Learned" Approach to Quicken and Compress Rank/Select Dictionaries
2021-01-01 Boffa, Antonio; Ferragina, Paolo; Vinciguerra, Giorgio
Repetition- and Linearity-Aware Rank/Select Dictionaries
2021-01-01 Ferragina, Paolo; Manzini, Giovanni; Vinciguerra, Giorgio
On the performance of learned data structures
2021-01-01 Ferragina, P.; Lillo, Fabrizio; Vinciguerra, G.
Compressed String Dictionaries via Data-Aware Subtrie Compaction
2022-01-01 Boffa, Antonio; Ferragina, Paolo; Tosoni, Francesco; Vinciguerra, Giorgio
Compressing and Querying Integer Dictionaries Under Linearities and Repetitions
2022-01-01 Ferragina, P.; Manzini, G.; Vinciguerra, G.
A Learned Approach to Design Compressed Rank/Select Data Structures
2022-01-01 Boffa, Antonio; Ferragina, Paolo; Vinciguerra, Giorgio
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
Engineering a Textbook Approach to Index Massive String Dictionaries
2023-01-01 Ferragina, Paolo; Rotundo, Mariagiovanna; Vinciguerra, Giorgio
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 |
|---|---|---|---|
| Why are learned indexes so effective? | 1-gen-2020 | Ferragina, Paolo; Lillo, Fabrizio; Vinciguerra, Giorgio | |
| Learned Data Structures | 1-gen-2020 | Ferragina, Paolo; Vinciguerra, Giorgio | |
| The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds | 1-gen-2020 | Ferragina, Paolo; Vinciguerra, Giorgio | |
| Procedimento di Compressione e ricerca su un insieme di dati basato su strategie multiple | 1-gen-2021 | Ferragina, Paolo; Manzini, Giovanni; Vinciguerra, Giorgio | |
| A "Learned" Approach to Quicken and Compress Rank/Select Dictionaries | 1-gen-2021 | Boffa, Antonio; Ferragina, Paolo; Vinciguerra, Giorgio | |
| Repetition- and Linearity-Aware Rank/Select Dictionaries | 1-gen-2021 | Ferragina, Paolo; Manzini, Giovanni; Vinciguerra, Giorgio | |
| On the performance of learned data structures | 1-gen-2021 | Ferragina, P.; Lillo, Fabrizio; Vinciguerra, G. | |
| Compressed String Dictionaries via Data-Aware Subtrie Compaction | 1-gen-2022 | Boffa, Antonio; Ferragina, Paolo; Tosoni, Francesco; Vinciguerra, Giorgio | |
| Compressing and Querying Integer Dictionaries Under Linearities and Repetitions | 1-gen-2022 | Ferragina, P.; Manzini, G.; Vinciguerra, G. | |
| A Learned Approach to Design Compressed Rank/Select Data Structures | 1-gen-2022 | Boffa, Antonio; Ferragina, Paolo; Vinciguerra, Giorgio | |
| 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 | |
| Engineering a Textbook Approach to Index Massive String Dictionaries | 1-gen-2023 | Ferragina, Paolo; Rotundo, Mariagiovanna; Vinciguerra, Giorgio | |
| 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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