Abstract: Oceanic eddies are a widespread and important occurrence that plays a vital role in the movement of chemicals and energy within the marine ecosystem. Hence, the astute and precise ...

This is not an officially supported Google product. Overview of the method is here: Google AI Blogpost Also, explore the interactive visualization that demonstrates the practical properties of the ...

If you’ve ever trained a classifier only to see mediocre accuracy or unstable learning, the issue might not be your model architecture or data alone. It could be the loss function driving your ...

In recent years, the rapid advancement of Convolutional Neural Networks (CNN) has markedly accelerated progress in the field of image processing. However, conventional CNN are constrained to Euclidean ...

The prediction of stock market fluctuations is crucial for decision-making in various financial fields. Deep learning algorithms have demonstrated outstanding performance in stock market index ...

Right ventricular ejection fraction (RVEF) and end‐diastolic volume (RVEDV) are not readily assessed through traditional modalities. Deep learning–enabled ECG analysis for estimation of right ...

In the field of data science, loss functions play a crucial role in various machine learning algorithms. A loss function measures the discrepancy between the predicted output and the actual target ...

The evaluation of scratching behavior is important in experimental animals because there is significant interest in elucidating mechanisms and developing medications for itching. The scratching ...

1 School of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibing, China. 2 Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization ...

Continuous data ("regression"): quadratic loss (L2 loss), absolute error (L1 loss), Huber loss, quantile regression loss, Gamma regression loss, negative Gaussian log ...