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F. Ruggeri

12 papers hereh-index 293.9k citations210 works total

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

author position
  • first author1
  • middle author5
  • last author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • stat.AP3
  • cond-mat.mtrl-sci1
  • math.ST1
  • q-bio.PE1
  • stat.CO1
same name
  • F. Ruggeri — 11 papers, h 10
  • F. Ruggeri — 3 papers, h 6
  • F. Ruggeri — 2 papers, h 1
  • F. Ruggeri — 2 papers, h 3
  • F. Ruggeri — 1 paper, h 6
  • F. Ruggeri — 1 paper, h 42

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
20142024
most citedAdversarial classification: An adversarial risk analysis approach

38 citations · 94 across the 12 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

stat.AP2018

Validation of a computer code for the energy consumption of a building, with application to optimal electric bill pricing

M. Keller, G. Damblin, A. Pasanisi +4

In this paper, we propose a practical Bayesian framework for the calibration and validation of a computer code, and apply it to a case study concerning the energy consumption forec…

stat.ME2018★ 5 cited

Likelihood-free parameter estimation for dynamic queueing networks: case study of passenger flow in an international airport terminal

Anthony Ebert, Ritabrata Dutta, Kerrie Mengersen +3

Dynamic queueing networks (DQN) model queueing systems where demand varies strongly with time, such as airport terminals. With rapidly rising global air passenger traffic placing i…

stat.ML2018★ 38 cited

Adversarial classification: An adversarial risk analysis approach

Roi Naveiro, Alberto Redondo, David Ríos Insua +1

Classification problems in security settings are usually contemplated as confrontations in which one or more adversaries try to fool a classifier to obtain a benefit. Most approach…

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