IEEE

Explainable Machine Learning for Sleep Health Analysis Using XGBoost and SHAP Interpretability

With the integration of machine learning techniques into the medical field, there has been a sea change in the last couple of years, and a new era of innovation seems to usher in precision healthcare ...
IEEE

Simple Machine Learning Using Multi-Port Optical Directional Couplers: Comparing Coherent and Non-Coherent Approaches

Abstract: Optical neural networks are emerging as structures with potential for artificial intelligence. We describe a multi-port directional coupler architecture and demonstrate its application for ...
C&EN

Decoding the Structure–Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches

Computational Chemistry and Molecular Biophysics Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse–Intramural Research Program, National Institutes of ...