Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences
Sarwan Ali, Pin‐Yu Chen, Murray Patterson
This paper benchmarks ML models for classifying COVID-19 spike sequences, finding that deep neural networks and k-mer features outperform traditional methods in accuracy and robustness.