A novel adaptive ensemble learning framework for automatedcoverage estimation

Yanyu Chen, Yunjue Zhou, Mira Park, Son N. Tran, Scott Hadley, Quan Bai

Abstract: Highlights•Adaptive feature extraction and fusion enhance relevant and informative features’ identification.•Adaptive feature extraction and fusion enhance feature representation and reduce time cost.•Flexible ensemble learning framework improves accuracy, robustness, and efficiency.•Flexible ensemble learning framework can be extended to other models or applications.•Novel machine learning-based approach estimates subordinate categories of Beggiatoa Spp. coverage.