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ORCIDGiorgio Vinciguerra
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Books and Theses
- 2022
[b1]Giorgio Vinciguerra:
Learning-based compressed data structures. University of Pisa, Italy, 2022
Journal Articles
- 2024
- [j7]Antonio Boffa
, Paolo Ferragina, Francesco Tosoni, Giorgio Vinciguerra:
CoCo-trie: Data-aware compression and indexing of strings. Inf. Syst. 120: 102316 (2024) - [j6]Marco Costa, Paolo Ferragina, Giorgio Vinciguerra:
Grafite: Taming Adversarial Queries with Optimal Range Filters. Proc. ACM Manag. Data 2(1): 3:1-3:23 (2024) - 2023
- [j5]Paolo Ferragina, Marco Frasca, Giosuè Cataldo Marinò, Giorgio Vinciguerra:
On Nonlinear Learned String Indexing. IEEE Access 11: 74021-74034 (2023) - 2022
- [j4]Paolo Ferragina, Giovanni Manzini, Giorgio Vinciguerra:
Compressing and Querying Integer Dictionaries Under Linearities and Repetitions. IEEE Access 10: 118831-118848 (2022) - [j3]Antonio Boffa, Paolo Ferragina, Giorgio Vinciguerra:
A Learned Approach to Design Compressed Rank/Select Data Structures. ACM Trans. Algorithms 18(3): 24:1-24:28 (2022) - 2021
- [j2]Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra:
On the performance of learned data structures. Theor. Comput. Sci. 871: 107-120 (2021) - 2020
- [j1]Paolo Ferragina, Giorgio Vinciguerra:
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds. Proc. VLDB Endow. 13(8): 1162-1175 (2020)
Conference and Workshop Papers
- 2023
- [c7]Paolo Ferragina, Hans-Peter Lehmann, Peter Sanders, Giorgio Vinciguerra:
Learned Monotone Minimal Perfect Hashing. ESA 2023: 46:1-46:17 - [c6]Paolo Ferragina, Mariagiovanna Rotundo, Giorgio Vinciguerra:
Engineering a Textbook Approach to Index Massive String Dictionaries. SPIRE 2023: 203-217 - 2022
- [c5]Antonio Boffa, Paolo Ferragina, Francesco Tosoni, Giorgio Vinciguerra:
Compressed String Dictionaries via Data-Aware Subtrie Compaction. SPIRE 2022: 233-249 - 2021
- [c4]Antonio Boffa, Paolo Ferragina, Giorgio Vinciguerra:
A "Learned" Approach to Quicken and Compress Rank/Select Dictionaries. ALENEX 2021: 46-59 - [c3]Paolo Ferragina, Giovanni Manzini, Giorgio Vinciguerra:
Repetition- and Linearity-Aware Rank/Select Dictionaries. ISAAC 2021: 64:1-64:16 - 2020
- [c2]Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra:
Why Are Learned Indexes So Effective? ICML 2020: 3123-3132 - 2019
- [c1]Paolo Ferragina, Giorgio Vinciguerra:
Learned Data Structures. INNSBDDL (Tutorials) 2019: 5-41
Informal and Other Publications
- 2023
- [i4]Paolo Ferragina, Hans-Peter Lehmann, Peter Sanders, Giorgio Vinciguerra:
Learned Monotone Minimal Perfect Hashing. CoRR abs/2304.11012 (2023) - [i3]Marco Costa, Paolo Ferragina, Giorgio Vinciguerra:
Grafite: Taming Adversarial Queries with Optimal Range Filters. CoRR abs/2311.15380 (2023) - 2019
- [i2]Giorgio Vinciguerra, Paolo Ferragina, Michele Miccinesi:
Superseding traditional indexes by orchestrating learning and geometry. CoRR abs/1903.00507 (2019) - [i1]Paolo Ferragina, Giorgio Vinciguerra:
The PGM-index: a multicriteria, compressed and learned approach to data indexing. CoRR abs/1910.06169 (2019)
Coauthor Index
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