Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
Frontiers

Investigating pre-Columbian floristic legacy effects using machine learning in the southern Atlantic Forest, Brazil

The scope and scale of past human impacts on both historic and current vegetation is of widespread interest in the historical sciences. In the Atlantic Forest of southern Brazil (Portuguese: Mata ...
IEEE

An Improved Iterative Learning Control Approach Based on Random Forest and Whale Optimization for Urban Traffic Signals

Abstract: Iterative learning control (ILC) has demonstrated effectiveness in urban traffic signal control systems. However, conventional ILC methods typically require infinite iterations to achieve ...
thorax.bmj

Does one size fit all? Tailoring azithromycin therapy with machine learning

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...
IEEE

Network Intrusion Detection Method Based on Semi-Supervised Learning and Random Forest

Abstract: Network Intrusion Detection Systems (NIDS), as critical tools for defending against malicious attacks, still have several limitations, such as false positives and false negatives, limited ...