AED algorithm could improve location of lifesaving devices

Cedars-Sinai Health Sciences University investigators and colleagues created an algorithm designed to use data on sudden ...
IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Journal of Medical Internet Research

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...
IEEE

Track Slab Crack Detection Algorithm with Few Samples Based on Deep Learning

Abstract: In order to solve the problem of track slab crack detection under few samples’ conditions, this paper proposes a track slab crack detection algorithm with few samples based on deep learning.