Search Results for author: Nadia Nahar

Found 4 papers, 0 papers with code

A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners

no code implementations31 Mar 2023 Nadia Nahar, Haoran Zhang, Grace Lewis, Shurui Zhou, Christian Kästner

Incorporating machine learning (ML) components into software products raises new software-engineering challenges and exacerbates existing challenges.

Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability

no code implementations13 Apr 2022 Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo

The documentation practice for machine-learned (ML) models often falls short of established practices for traditional software, which impedes model accountability and inadvertently abets inappropriate or misuse of models.

BIG-bench Machine Learning Ethics

Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process

no code implementations19 Oct 2021 Nadia Nahar, Shurui Zhou, Grace Lewis, Christian Kästner

The introduction of machine learning (ML) components in software projects has created the need for software engineers to collaborate with data scientists and other specialists.


The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques

no code implementations18 Nov 2020 Asadullah Hill Galib, Nadia Nahar, B M Mainul Hossain

In developing countries like Bangladesh, the early assessment of child mortality using pre-birth factors would be effective and feasible as it avoids the uncertainty of the post-birth factors.

Attribute BIG-bench Machine Learning

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