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Stefano Sferrazza
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2020 – today
- 2024
- [c5]Matthias Lanzinger, Stefano Sferrazza, Przemyslaw Andrzej Walega, Georg Gottlob:
Fuzzy Datalog∃ over Arbitrary t-Norms. LPAR 2024: 426-444 - [i2]Matthias Lanzinger, Stefano Sferrazza, Przemyslaw Andrzej Walega, Georg Gottlob:
Fuzzy Datalog∃ over Arbitrary t-Norms. CoRR abs/2403.02933 (2024) - 2023
- [j2]Jinsong Guo, Aditya Jami, Markus Kröll, Lukas Schweizer, Sergey Paramonov, Eric Aichinger, Stefano Sferrazza, Mattia Scaccia, Stéphane Reissfelder, Eda Cicek, Giovanni Grasso, Georg Gottlob:
When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler. Proc. ACM Manag. Data 1(2): 202:1-202:23 (2023) - [c4]Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract). IJCAI 2023: 6447-6451 - 2022
- [j1]Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+-: Effective Rule-based Reasoning with Uncertain Observations. Theory Pract. Log. Program. 22(5): 678-692 (2022) - [c3]Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
New Perspectives for Fuzzy Datalog (Extended Abstract). Datalog 2022: 42-47 - [c2]Georg Gottlob, Jinsong Guo, Aditya Jami, Markus Kröll, Stéphane Reissfeldee, Lukas Schweizer, Eric Aichinger, Stefano Sferrazza:
CompeGen: Computing Company Competitor Pairs By Knowledge Based Inference Combined With Empirical Validation. Datalog 2022: 207-211 - [c1]Marta Bernardini, Matthias Lanzinger, Rosario Laurendi, Stefano Sferrazza:
Family Link Detection in Uncertain Settings with MV-Datalog±. EDBT/ICDT Workshops 2022 - [i1]Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+-: Effective Rule-based Reasoning with Uncertain Observations. CoRR abs/2202.01718 (2022)
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last updated on 2024-06-26 21:19 CEST by the dblp team
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