3 papers
cs.LG2024
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
Thao Hoang, Linh Nguyen, Khoi Do +2
In the field of heart disease classification, two primary obstacles arise. Firstly, existing Electrocardiogram (ECG) datasets consistently demonstrate imbalances and biases across…
eess.SP2024
How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
Huyen Ngo, Khoi Do, Duong Nguyen +2
A significant challenge in the electroencephalogram EEG lies in the fact that current data representations involve multiple electrode signals, resulting in data redundancy and domi…
cs.LG2023
Revisiting LARS for Large Batch Training Generalization of Neural Networks
Khoi Do, Duong Nguyen, Hoa Nguyen +3
This paper explores Large Batch Training techniques using layer-wise adaptive scaling ratio (LARS) across diverse settings, uncovering insights. LARS algorithms with warm-up tend t…