Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design

23 May 2024

Papers citing "Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design"

8 / 8 papers shown

Title
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review Agnia Sergeyuk Ilya Zakharov Ekaterina Koshchenko M. Izadi 58 0 0 08 Mar 2025
The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model Yilin Ye Qian Zhu Shishi Xiao Kang Zhang Wei Zeng 23 3 0 04 Dec 2023
Bias-Aware Design for Informed Decisions: Raising Awareness of Self-Selection Bias in User Ratings and Reviews Qian Zhu Leo Yu-Ho Lo Meng Xia Zixin Chen Xiaojuan Ma 21 17 0 19 Sep 2022
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions Kailas Vodrahalli Roxana Daneshjou Tobias Gerstenberg James Y. Zou 29 68 0 14 Jul 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models Soya Park A. Wang B. Kawas Q. V. Liao David Piorkowski Marina Danilevsky 24 43 0 29 Jan 2021
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
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 166 1,877 0 02 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