Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

In this project, I address the problem of growth control of cells by integrating various mathematics via the variational structure in population dynamics. By applying the integrative theory, I also ...

Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, Vol. 258, No. 1294 (Oct. 25, 1960), pp. 402-411 (10 pages) Some years ago the author proved that explicit ...

In the last decade, auxiliary information has been widely used to address data sparsity. Due to the advantages of feature extraction and the no-label requirement, autoencoder-based methods addressing ...