The Lancet

An interpretable machine learning model based on optimal feature selection for identifying ...

aSchool of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, China bHubei Shizhen Laboratory, Hubei University of Chinese Medicine, 16 Huangjia Lake ...
C&EN

Practical Guidance for Training Machine Learning Models in Metabolomics and Mass ...

Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada Department of Electrical and Computer ...
IEEE

Enhancing Greenhouse Farming Through Machine Learning: A Focus on Feature Importance

Abstract: The main objective of this paper is to identify the features affecting crop yield in greenhouse farming. By applying machine learning algorithms to predict feature importance, we aim to ...
IEEE

Adversarial Feature Training for Few-Shot Object Detection

Abstract: Currently, most few-shot object detection (FSOD) methods apply the two-stage training strategy, which first requires training in abundant base classes and transfers the learned prior ...