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Automated feature engineering for HTTP tunnel detection [PDF]
Generating discriminative input features is a key requirement for achieving highly accurate classifiers. The process of generating features from raw data is known as feature engineering and it can take significant manual effort.
Ernest Foo
exaly +3 more sources
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A neuralized feature engineering method for entity relation extraction
Neural Networks, 2021Yongbin Qin, Qinghua Zheng
exaly
Measurement: Journal of the International Measurement Confederation, 2020
Hairong Fang, Yuefa Fang, Yi Yang
exaly
Hairong Fang, Yuefa Fang, Yi Yang
exaly
A novel aging characteristics-based feature engineering for battery state of health estimation
Energy, 2023Xiaojia Su, Linjing Zhang, Weige zhang
exaly
Feature Selection Engineering for Credit Risk Assessment in Retail Banking
Information (Switzerland), 2023Jaber JEMAI
exaly
On the feature engineering of building energy data mining
Sustainable Cities and Society, 2018Chuan Zhang +2 more
exaly

