Nature

Best practices for multi-fidelity Bayesian optimization in materials and molecular research

Among machine learning techniques, Bayesian optimization (BO) has emerged as the go-to choice for optimizing the design of experiments in the chemical domain 1,2,3,4. BO, grounded in a probabilistic ...
Nature

A manta ray-bayesian optimization approach for hyperparameter-tuned convolutional neural networks in lung cancer classification

Lung cancer remains a global health challenge that is unavoidable. Despite the advances in lung cancer classification using deep learning models, the performance remains highly dependent on ...