A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study

28 May 2024

Papers citing "A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study"

4 / 4 papers shown

Title
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review Lixiang Yan Lele Sha Linxuan Zhao Yuheng Li Roberto Martínez-Maldonado Guanliang Chen Xinyu Li Yueqiao Jin D. Gašević SyDa ELM AI4Ed 51 262 0 17 Mar 2023
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time Deepthi Raghunandan Aayushi Roy Shenzhi Shi Niklas Elmqvist Leilani Battle SyDa 21 17 0 06 Sep 2022
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
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development Angela Lee Doris Xin D. Lee Aditya G. Parameswaran HAI 42 12 0 04 May 2020