The authors aimed to extract knowledge from existing literature on deception detection and streamline methods to detect lies via machine learning, and compare them to conventional non-machine ...

Journal Reference: Hao Xu, Yuntian Chen, Dongxiao Zhang. Worth of prior knowledge for enhancing deep learning. Nexus, 2024; 100003 DOI: 10.1016/j.ynexs.2024.100003 ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction. This approach has the ...

"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. Machine learning periodic table. Image: Shaden Alshammari (MIT graduate student)/YouTube ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

“Additionally, our techniques could be adapted for human heart models, providing valuable insights into cardiac health and disease. Incorporating uncertainty quantification methods could further ...