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math.OC2022★ 1 cited
An Empirical Review of Model-based Adaptive Sampling for Global Optimization of Expensive Black-box Functions
Nazanin Nezami, Hadis Anahideh
This paper reviews the state-of-the-art model-based adaptive sampling approaches for single-objective black-box optimization (BBO). While BBO literature includes various promising…
cs.LG2022★ 1 cited
Explainable Predictive Modeling for Limited Spectral Data
Frantishek Akulich, Hadis Anahideh, Manaf Sheyyab +1
Feature selection of high-dimensional labeled data with limited observations is critical for making powerful predictive modeling accessible, scalable, and interpretable for domain…