Ameya Prabhu

A new method to improve machine learning models affected by poor data.

A method for continuous model evaluation in machine learning to prevent overfitting.

This article explores how training data affects model performance in multimodal systems.

Examining interactions between small-scale and large-scale dynamos in stars.

New tools aim to improve accuracy in scientific citation attribution.

A new method to detect and fix data poisoning in machine learning models.

Revolutionizing how we evaluate AI model performance with flexibility and fairness.