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 ...
Nature

Robust parameter estimation and identifiability analysis with hybrid neural ordinary differential equations in computational biology

Parameter estimation is one of the central challenges in computational biology. In this paper, we present an approach to estimate model parameters and assess their identifiability in cases where only ...