IEEE

A Multi-Modal Approach for the Molecular Subtype Classification of Breast Cancer by Using Vision Transformer and Novel SVM Polyvariant Kernel

Abstract: Accurate classification of breast cancer into distinct molecular subtypes is crucial for personalized treatment and improved patient outcomes. Despite advancements in machine learning, ...
IEEE

Epileptic Seizure Detection in Rodent iEEG using Machine Learning: A Comparative Study of Random Forest, SVM, and Gradient Boosting Models

Abstract: Epilepsy is a neurological condition because seizures occur at random and thus patients require automated and accurate detection mechanisms. The study design employs an evaluation of ...