ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.07816
  4. Cited By
Enabling Collaborative Data Science Development with the Ballet
  Framework

Enabling Collaborative Data Science Development with the Ballet Framework

14 December 2020
Micah J. Smith
Jürgen Cito
Kelvin Lu
K. Veeramachaneni
ArXivPDFHTML

Papers citing "Enabling Collaborative Data Science Development with the Ballet Framework"

4 / 4 papers shown
Title
Towards Feature Engineering with Human and AI's Knowledge: Understanding
  Data Science Practitioners' Perceptions in Human&AI-Assisted Feature
  Engineering Design
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design
Qian Zhu
Dakuo Wang
Shuai Ma
April Yi Wang
Zixin Chen
Udayan Khurana
Xiaojuan Ma
55
1
0
23 May 2024
Whither AutoML? Understanding the Role of Automation in Machine Learning
  Workflows
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
Doris Xin
Eva Yiwei Wu
D. Lee
Niloufar Salehi
Aditya G. Parameswaran
59
91
0
13 Jan 2021
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
97
610
0
13 Mar 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists'
  Perceptions of Automated AI
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
178
308
0
05 Sep 2019
1