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Automating Data Science: Prospects and Challenges

Automating Data Science: Prospects and Challenges

12 May 2021
Tijl De Bie
Luc de Raedt
José Hernández-Orallo
Holger H. Hoos
Padhraic Smyth
C. Williams
ArXivPDFHTML

Papers citing "Automating Data Science: Prospects and Challenges"

11 / 11 papers shown
Title
Large Language Models for Constructing and Optimizing Machine Learning
  Workflows: A Survey
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Yang Gu
Hengyu You
Jian Cao
Muran Yu
Haoran Fan
Shiyou Qian
LM&MA
AI4CE
51
3
0
11 Nov 2024
A Survey of Pipeline Tools for Data Engineering
A Survey of Pipeline Tools for Data Engineering
Anthony Mbata
Yaji Sripada
Mingjun Zhong
20
3
0
12 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm
Position: A Call to Action for a Human-Centered AutoML Paradigm
Marius Lindauer
Florian Karl
A. Klier
Julia Moosbauer
Alexander Tornede
Andreas Mueller
Frank Hutter
Matthias Feurer
Bernd Bischl
43
6
0
05 Jun 2024
Data Interpreter: An LLM Agent For Data Science
Data Interpreter: An LLM Agent For Data Science
Sirui Hong
Yizhang Lin
Bang Liu
Bangbang Liu
Binhao Wu
...
Xinbing Liang
Yaying Fei
Yuheng Cheng
Zongze Xu
Chenglin Wu
LLMAG
AI4CE
59
64
0
28 Feb 2024
DS-Agent: Automated Data Science by Empowering Large Language Models
  with Case-Based Reasoning
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
Siyuan Guo
Cheng Deng
Ying Wen
Hechang Chen
Yi-Ju Chang
Jun Wang
ELM
LM&Ro
LLMAG
AI4CE
42
30
0
27 Feb 2024
Machine learning's own Industrial Revolution
Machine learning's own Industrial Revolution
Yuan Luo
Song Han
Jingjing Liu
AI4CE
26
0
0
04 Nov 2023
AutoML in the Age of Large Language Models: Current Challenges, Future
  Opportunities and Risks
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede
Difan Deng
Theresa Eimer
Joseph Giovanelli
Aditya Mohan
...
Sarah Segel
Daphne Theodorakopoulos
Tanja Tornede
Henning Wachsmuth
Marius Lindauer
41
23
0
13 Jun 2023
Large Language Models for Automated Data Science: Introducing CAAFE for
  Context-Aware Automated Feature Engineering
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Noah Hollmann
Samuel G. Müller
Frank Hutter
45
54
0
05 May 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through
  Artifacts of Data Work
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers
Anamaria Crisan
40
7
0
05 Apr 2023
Can Fairness be Automated? Guidelines and Opportunities for
  Fairness-aware AutoML
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde J. P. Weerts
Florian Pfisterer
Matthias Feurer
Katharina Eggensperger
Eddie Bergman
Noor H. Awad
Joaquin Vanschoren
Mykola Pechenizkiy
B. Bischl
Frank Hutter
FaML
46
18
0
15 Mar 2023
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
311
0
05 Sep 2019
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