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Automated Feature Engineering

Automated feature engineering improves upon the traditional approach to feature engineering by automatically extracting useful and meaningful features from a set of related data tables with a framework that can be applied to any problem.

Papers

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Showing 31–40 of 46 papers

TitleStatusHype
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering—0
Learning Feature Engineering for Classification—0
Techniques for Automated Machine Learning—0
Automating Feature Engineering—0
Machine Learning for Detecting Data Exfiltration: A Review—0
One button machine for automating feature engineering in relational databases—0
Automated Feature Extraction on AsMap for Emotion Classification using EEG—0
Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market—0
Semantic-Guided RL for Interpretable Feature Engineering—0
Toward Efficient Automated Feature Engineering—0
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