Roughly one in ten Americans 60 or older has been the victim of some form of elder abuse in their lifetime, while older adults lose a staggering $28 billion each year to financial fraud. Despite ...

– Update on regulatory strategy for govorestat for the treatment of CMT-SORD following receipt of Type C meeting minutes – Meeting scheduled with the FDA in 4Q 2025 to discuss govorestat for the ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Optimised machine learning for time-to-event prediction in healthcare applied to timing of gastrostomy in ALS: a multi-centre, retrospective model development and validation study Marcel Weinreich a, ...

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Introduction: Childhood cancer survivors have a higher risk of mental health and adaptive problems compared with their siblings, for example. Assessing the need for psychosocial support is essential ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

Abstract: This research presents the development of an anomaly and data breach detection system using Python to analyze internet traffic logs. When comparing various machine learning algorithms, it ...

ABSTRACT: This study explores the growing impact of machine learning (ML) on forensic accounting and fraud detection. As financial transactions and systems become increasingly complex and voluminous, ...