The study advanced beyond a one-size-fits-all model by developing both a global XGBoost classifier and cancer-type-specific ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the ...

Background Hypertrophic cardiomyopathy (HCM) is often underdiagnosed. Artificial intelligence (AI)-based notification of HCM ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Multi-fidelity optimization algorithms are a solution to alleviate this computational ... us to show how our proposal improves the state-of-the-art in different classification and regression problems.

How AI works through data, models, and learning. Discover how small and large AI systems process input and make intelligent ...

I tried out several classification algorithms and noticed that most of them were overfitting the data. After thorough evaluation, I selected Logistic Regression as the final ... provided a stable ...

Methods: This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO ... schemes are ...

In all four trials, the PtGA was evaluated using a 100 ... We examined the optimal PtGA threshold to achieve concordance with SDAI-defined remission by carrying out classification and regression trees ...