Assessing the Use of AutoML for Data-Driven Software Engineering

20 July 2023

Papers citing "Assessing the Use of AutoML for Data-Driven Software Engineering"

4 / 4 papers shown

Title
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning Jiaxin Chen Jinliang Ding Kay Chen Tan Jiancheng Qian Ke Li 33 1 0 10 Nov 2024
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations Mario Truss Marc Schmitt 15 1 0 06 Feb 2024
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 44 71 0 13 Jan 2021
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 156 312 0 05 Sep 2019