Requirements Engineering for Machine Learning: A Review and Reflection

3 October 2022

Papers citing "Requirements Engineering for Machine Learning: A Review and Reflection"

7 / 7 papers shown

Title
A Mathematical Model of the Hidden Feedback Loop Effect in Machine Learning Systems Andrey Veprikov Alexander Afanasiev Anton Khritankov 32 2 0 04 May 2024
Evaluating a Methodology for Increasing AI Transparency: A Case Study David Piorkowski John T. Richards Michael Hind 35 5 0 24 Jan 2022
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models Soya Park A. Wang B. Kawas Q. V. Liao David Piorkowski Marina Danilevsky 46 55 0 29 Jan 2021
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications Zhenpeng Chen Huihan Yao Yiling Lou Yanbin Cao Yuanqiang Liu Haoyu Wang Xuanzhe Liu 40 79 0 13 Jan 2021
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 83 387 0 10 Mar 2020
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 33 29 0 08 Feb 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019