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a.i. solutions (United States)

United States

8 papers here299 citations across 8
fields
  • math-ph2
  • nucl-ex2
  • astro-ph.IM1
  • astro-ph.SR1
  • cs.CV1
  • physics.ins-det1
ROR 02nt9wa64OpenAlex

affiliations via OpenAlex

output
20152026
most citedReconstruction of the Sunspot Group Number: the Backbone Method

228 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • G. Natanson2 · h 12
  • B. Rasco1 · h 9
  • C. Deibel1 · h 25
  • Cole Leo1 · h 1
  • D. Bardayan1 · h 22
  • D. Santiago-Gonzalez1 · h 12
  • E. Koshchiy1 · h 10
  • Grigory Rogachev1 · h 6
  • H. Gardiner1 · h 4
  • I. Wiedenhover1 · h 3
  • J. Blackmon1 · h 22
  • K. Macon1 · h 1
collaborating institutions
  • Massachusetts Institute of TechnologyUS2 papers
  • Mitchell InstituteUS2 papers
  • Acceleron Pharma (United States)US1 paper
  • Argonne National LaboratoryUS1 paper
  • Arizona State UniversityUS1 paper
  • Barrie Urology GroupCA1 paper
  • Boston UniversityUS1 paper
  • California Institute of TechnologyUS1 paper
  • CEA Paris-SaclayFR1 paper
  • Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
  • Earth and Space ResearchUS1 paper
  • ETH ZurichCH1 paper
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2024

Vertical Federated Image Segmentation

Paul K. Mandal, Cole Leo

With the popularization of AI solutions for image based problems, there has been a growing concern for both data privacy and acquisition. In a large number of cases, information is…

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