de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Mathematicians rely on numbers, but finding words to explain different levels of certainty has stymied everyone from the ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Introduction Many neonatal deaths are avoidable using existing low-cost evidence-based interventions. This study evaluated ...

In intensive care units, some patients who appear unconscious occupy a gray zone in their relationship to the world. To ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Abstract: Single-point matching algorithm (point mass filter or particle filter) only uses the current time measurement to calculate the likelihood, which is prone to pseudopeak and false peak. In ...

Abstract: Generative diffusion models are becoming one of the most popular prior in image restoration (IR) tasks due to their remarkable ability to generate realistic natural images. Despite achieving ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

Utilizing advanced machine learning algorithms, our analysis simulates the outcome of the Sonego vs. Sakamoto match over 10,000 times. The results indicate that Lorenzo Sonego has a 67% chance of ...