Machine Learning Achieves Runtime Optimisation For GEMM With Dynamic Thread Selection
General Matrix Multiplication (GEMM) forms a cornerstone of modern scientific computing, yet achieving peak performance on multi-core systems remains a...
Selection
Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition
Hand biometrics, including fingerprints and palmprints, are widely used for secure identification due to their high identification accuracy and non-intrusiveness....
Multi-task genomic prediction using gated residual variable selection neural networks | BMC Bioinformatics
This section describes the methodology for genomic prediction and variable selection using the deep learning-based GRVSNN framework. Our approach is...
Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection | BMC Psychiatry
Recursive Feature Elimination (RFE) and linear regression modelThrough Recursive Feature Elimination (RFE) combined with cumulative variance explanation (R2) analysis, this...
Hybrid bagging and boosting with SHAP based feature selection for enhanced predictive modeling in intrusion detection systems
The result section demonstrates the proposed model’s efficacy in predicting reasonably accurate outcomes across various test scenarios. Key performance metrics,...
Selection of pre-trained weights for transfer learning in automated cytomegalovirus retinitis classification
We collected the study's dataset from the Department of Ophthalmology at Siriraj Hospital, Mahidol University, with Siriraj Institutional Review Board...
