Results 111 to 120 of about 168 (147)
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley +1 more source
Program Abstracts from The GSA 2021 Annual Scientific Meeting, "Disruption to Transformation: Aging in the "New Normal"". [PDF]
europepmc +1 more source
Abstracts from the 54th European Society of Human Genetics (ESHG) Conference: e-Posters. [PDF]
europepmc +1 more source
Quantitative genetic models for describing simultaneous and recursive relationships between phenotypes. [PDF]
Gianola D, Sorensen D.
europepmc +1 more source
Behavioral relevance of the dynamics of the functional brain connectome. [PDF]
Jia H, Hu X, Deshpande G.
europepmc +1 more source
LEARNING TO BE BAD: ADVERSE SOCIAL CONDITIONS, SOCIAL SCHEMAS, AND CRIME. [PDF]
Simons RL, Burt CH.
europepmc +1 more source
28th Annual Computational Neuroscience Meeting: CNS*2019. [PDF]
europepmc +1 more source

