Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
GitHub

Codebase for paper Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation.

You can set up the environment using the environment.yml (the requirement is the same as [DDRM]: https://github.com/bahjat-kawar/ddrm). Run conda env create -f ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
IEEE

One-Step Pairwise Constrained Multi-View Clustering in Linear Time

Abstract: Pairwise constrained clustering, which employs the pairwise constraints to boost clustering performance, has been widely used in many applications such as face clustering and image retrieval ...

Lab-in-the-loop framework enables rapid evolution of complex multi-mutant proteins

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
eLife

Adaptation of an herbivorous arthropod to green tea plants by overcoming catechin defenses

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...
GitHub

ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation

The overview of the distillation framework of ArcFlow. Diffusion models have achieved remarkable generation quality, but they suffer from significant inference cost due to their reliance on multiple ...
The Lancet

Daily steps and health outcomes in adults: a systematic review and dose-response meta-analysis

aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...
IEEE

Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting

Abstract: Accurate forecasting of agricultural commodity prices is critical for economic stability and strategic decision-making, yet remains challenging owing to nonlinear dynamics and multifactorial ...
Microsoft

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience

Multi-step dexterous manipulation is a fundamental skill in household scenarios, yet remains an underexplored area in robotics. This paper proposes a modular approach, where each step of the ...