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conf.researchr.org / Adrian Mos
  • ASE 2021 profile
  • ASE 2022 profile
  • ICSE 2020 profile
  • ICSE 2022 profile
  • ICSE 2024 profile
Adrian Mos

Registered user since Fri 7 Feb 2020

Name:Adrian Mos
Country:France
Affiliation:NAVER LABS Europe
Research interests:modeling, systemic AI, ML pipelines, MDA, application generation, domain-specific languages

Contributions

2024

CAIN

  • Author of Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search within the Posters-track

2022

ASE

  • Author of Prototyping Deep Learning Applications with Non-Experts: An Assistant Proposition within the Late Breaking Results-track

ICSE

  • Author of Lowering Barriers to Application Development With Cloud-Native Domain-Specific Functions within the SEIS - Software Engineering in Society-track

2021

ASE

  • Author of Decoupling Server and Client Code Through Cloud-Native Domain-Specific Functions within the Late Breaking Results-track

2020

ICSE

  • Author of From Abstract Specifications to Application Generation within the Software Engineering in Society-track
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