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