GitHub

Write callable functions systematically like a Firelord. No more chaotic error ...

Why Do You Need This? What Is The Problem FireCall Trying To Solve? When coding a callable function (or any endpoint in general), we need to deal with 5 basic errors ...
IEEE

Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery

Abstract: Graph learning-based multi-modal integration and classification is one of the most challenging tasks for disease prediction. To effectively offset the negative impact among modalities in the ...
GitHub

Hybrid error correction of long reads using colored de Bruijn graphs

Ratatosk is a de novo error correction tool for erroneous long reads designed for accurate variant calling and assembly. It is based on a compacted and colored de ...
IEEE

Saturated Switching Functions for Sliding Mode Control With Speed Error Limitation

Abstract: The saturated non-singular terminal switching function (SNTSF) for sliding mode control with speed error limitation and finite-time error convergence is ...