How HR can tailor onboarding experiences to unique learner preferences
A well-designed onboarding program can set the stage for long-term employee success and impact retention, engagement and productivity. Since it...
Learning methods
Development and validation of machine learning models based on stacked generalization to predict psychosocial maladjustment in patients with acute myocardial infarction | BMC Psychiatry
Participants and data collectionA convenience sampling method was used to recruit young and middle-aged patients with AMI who were treated...
Temporal and spatial self supervised learning methods for electrocardiograms
DatasetsWe validated the performance of the TSSL model using three publicly available ECG datasets. Each dataset was divided into training,...
MARBLE: interpretable representations of neural population dynamics using geometric deep learning
MARBLE is a representation learning framework that works by decomposing a set of vector fields, representing possibly different dynamical systems...
Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO2
Alwi, R. S. & Garlapati, C. New correlations for the solubility of anticancer drugs in supercritical carbon dioxide. Chem. Pap....
Multifactor prediction model for stock market analysis based on deep learning techniques
In addition to the case study, this section describes certain metrics associated with the proposed model’s processing outcomes. This includes...
