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Francesco Silvestri

29 papers hereh-index 16876 citations65 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author2
  • middle author8
  • last author15

Across the 27 of 29 papers where every author was matched, so the position is known.

fields
  • cs.DS20
  • cs.DC3
  • math.OC3
  • cs.CG2
  • cs.CE1
same name
  • Francesco Silvestri — 2 papers, h 1
  • Francesco Silvestri — 2 papers, h 1
  • Francesco Silvestri — 1 paper, h 2
  • Francesco Silvestri — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedThe Input/Output Complexity of Triangle Enumeration

59 citations · 213 across the 21 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

math.OC2017

A variant of the Lovász-Theta number based on projection matrices

Francesco Silvestri

We introduce a new model for the chromatic number χ(G) based on what we call combinatorial projection matrices, which is a special class of doubly stochastic symmetric projection…

cs.DC2017

A Lower Bound Technique for Communication in BSP

Gianfranco Bilardi, Michele Scquizzato, Francesco Silvestri

Communication is a major factor determining the performance of algorithms on current computing systems; it is therefore valuable to provide tight lower bounds on the communication…

cs.CG2017★ 35 cited

Locality-sensitive hashing of curves

Anne Driemel, Francesco Silvestri

We study data structures for storing a set of polygonal curves in Rd such that, given a query curve, we can efficiently retrieve similar curves from the set, where similar…

cs.DS2017

Distance-Sensitive hashing

Martin Aumüller, Tobias Christiani, Rasmus Pagh +1

Locality-sensitive hashing (LSH) is an important tool for managing high-dimensional noisy or uncertain data, for example in connection with data cleaning (similarity join) and nois…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.