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Found 6 papers, 2 papers with code
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
Feature selection in noisy label scenarios remains an understudied topic.
Multi-Objective Genetic Algorithm for Multi-View Feature Selection
However, the use of multi-view data leads to an increase in high-dimensional data, which poses significant challenges for the prediction models that can lead to poor generalization.
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease
Machine learning techniques typically applied to dementia forecasting lack in their capabilities to jointly learn several tasks, handle time dependent heterogeneous data and missing values.
Comparison of single and multitask learning for predicting cognitive decline based on MRI data
The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) is a neuropsychological tool that has been designed to assess the severity of cognitive symptoms of dementia.
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
We found 129 articles that applied transfer learning to brain MRI tasks.
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry
These last two measurements were derived from the T1-weighted MR images using cortical surfaces produced by the CIVET pipeline.
