IEEE

Enhancing Predictive Accuracy of LSTM Neural Networks for Diabetes Risk through K-Fold Cross-Validation: Comparison with K-Nearest Neighbors and Expert Systems

Abstract: Diabetes is a metabolic disease with a rapidly increasing prevalence worldwide. Developing accurate diabetes risk prediction methods is crucial to enable earlier intervention and optimize ...
GitHub

GALS-Fold: Geometry-Aware Long-Short RNA Inverse Folding with Linear Complexity

Set up a python environment by following the installation instructions below. We have tested on Linux with Python 3.10.19 and CUDA 12.1 on NVIDIA A800 and 4090/5090 GPUs. Once your python environment ...
IEEE

Enumerating the K-Fold Configurations in Multi-Class Classification Problems

Abstract: K-fold cross-validation is a widely used tool for assessing classifier performance. The reproducibility crisis [6] faced by artificial intelligence partly results from the irreproducibility ...