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Samsung (United Kingdom)

United Kingdom

54 papers here964 citations across 54
fields
  • cs.CV17
  • cs.LG9
  • cs.IT8
  • eess.SP6
  • cs.NI5
  • cs.AI2
  • cs.DC2
  • eess.AS2
ROR 01w6gjq94OpenAlex

affiliations via OpenAlex

output
20162026
most citedGAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

353 citations

researchers with a paper here
  • Stylianos I. Venieris2 profiles7 · h 20
  • N. Lane2 profiles5 · h 62
  • Adrian Bulat4 · h 32
  • B. Mouhouche4 · h 11
  • D. Mi4 · h 20
  • Georgios Tzimiropoulos4 · h 48
  • P. Xiao4 · h 46
  • Da Li3 · h 17
  • Hongzhi Chen3 · h 9
  • I. Venieris3 · h 25
  • M. Nekovee3 · h 34
  • M. Pantic3 · h 97
collaborating institutions
  • University of SurreyGB8 papers
  • University of CambridgeGB6 papers
  • Samsung (South Korea)KR5 papers
  • Imperial College LondonGB4 papers
  • University of OxfordGB4 papers
  • National Technical University of AthensGR3 papers
  • Samsung (United States)US3 papers
  • Aalto UniversityFI2 papers
  • Centre Universitaire de MilaDZ2 papers
  • Ericsson (Sweden)SE2 papers
  • Huawei Technologies (Germany)DE2 papers
  • IFlyTek (China)2 papers
Showing 2025Show all

1 paper · 1 filter

cs.NI2025★ 9 cited

Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach

Juan Parra-Ullauri, Xueqing Zhou, Shadi Moazzeni +11

Artificial Intelligence (AI) is expected to play a key role in 6G networks including optimising system management, operation, and evolution. This requires systematic lifecycle mana…

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