An Empirical Study on the Usage of Automated Machine Learning Tools

28 August 2022

Papers citing "An Empirical Study on the Usage of Automated Machine Learning Tools"

6 / 6 papers shown

Title
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Joana Simões João Correia 63 0 0 06 Mar 2025
Assessing the Use of AutoML for Data-Driven Software Engineering Fabio Calefato L. Quaranta F. Lanubile Marcos Kalinowski 21 5 0 20 Jul 2023
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment Nikolay O. Nikitin Sergey Teryoshkin Valerii Pokrovskii Sergey Pakulin D. Nasonov 21 1 0 12 Jan 2023
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
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 151 94 0 09 Feb 2020
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