Many techniques in computational materials science require scientists to identify the right set of parameters that capture ...

Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...

Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models. Open Journal of Statistics, 14, 757-774. doi: ...

Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks.

New machine learning-based screening method is 98 pc effective in detecting the earliest sign of breast cancer, according to ...

Machine learning approaches offer promising solutions for early autism spectrum disorder detection, addressing diagnostic ...

With volatility so closely tied to investment risk and returns, it's no wonder that a statistical method that captured ...

To screen catalysts, scientists must understand systems' adsorption energy, something that machine learning (ML) models, particularly graph neural networks (GNNs), have been successful at predicting.

Researchers optimized portable low-field MRI with machine learning to improve brain morphometry and white matter ...