Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
It seems like every AI researcher these days has lots of ideas around how to combat major shortcomings in the field, such as ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed AI Programs, Federal R&D Funding, and Widespread Enterprise AI Adoption, ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction: The yield of ginkgo biloba leaves serves as a critical indicator for assessing their growth and health status. However, current assessment methods primarily rely on manual harvesting and ...
The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...
Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...
Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback