Machine learning for signal processing

Signal Processing for Machine Learning

Tensor Decomposition for Medicine

Tensor decomposition (TD) is a powerful mathematical framework for analyzing high-dimensional and multi-way data, such as medical images, biomedical signals, and clinical measurements. Unlike conventional matrix-based methods, TD represents a tensor as a combination of lower-dimensional factor matrices or core tensors, enabling the extraction of latent structures while preserving the intrinsic multi-dimensional relationships within the […]

Epilepsy

Selected Publications Le Trung Thanh, Nguyen Thi Anh Dao, Nguyen Viet Dung, Nguyen Linh Trung, and Karim Abed-Meraim. Multi-channel EEG epileptic spike detection by a new method of tensor decomposition. IOP Journal of Neural Engineering, 17(1):016023, January 2020. Le Thanh Xuyen, Le Trung Thanh, Nguyen Linh Trung, Tran Thi Thuy Quynh, and Nguyen Duc Thuan. […]