Nadia Nahar

Collaboration challenges in building ML-enabled systems

Nadia Nahar, Shurui Zhou, Grace A. Lewis et al. · Proceedings of the 44th International Conference on Software Engineering · 2022 · 116 citations · Full text

Artificial Intelligence, Software Maintenance, Engineering +24

A machine learning-based prediction and analysis of flood affected households: A case study of floods in Bangladesh

Kishan Kumar Ganguly, Nadia Nahar, B M Mainul Hossain · International Journal of Disaster Risk Reduction · 2018 · 61 citations

Engineering, Machine Learning, Flood Control +16

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

Nadia Nahar, Haoran Zhang, Grace A. Lewis et al. · 2023 · 46 citations

Software Maintenance, Engineering, Machine Learning +26

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

Avinash Bhat, Austin Coursey, Grace Hu et al. · 2023 · 27 citations

Software Maintenance, Software Development Practice, Engineering +24

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

Nadia Nahar, Shurui Zhou, Grace A. Lewis et al. · arXiv (Cornell University) · 2021 · 20 citations · Full text

Software Maintenance, Engineering, Machine Learning +29