Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
The paper concludes that Precision and Recall must be the minimum reporting standard, and confusion matrices should always ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds—those with high ...
Georgia Southern University researchers develop a machine learning model with 97.97% accuracy in earthquake forecasting. STATESBORO, GA, UNITED STATES, October 29 ...
Creative-Expert Preference Data: Shutterstock leverages professional creatives for rubric-driven aesthetic judgments that ...
A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...
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