Detroit-based technology firm Riemann Computing has debuted OpenPeer AI, an open-source family of machine learning models designed to make artificial intelligence systems more efficient and ...
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 ...
This project implements an advanced machine learning pipeline for high-dimensional financial time series forecasting with comprehensive interpretability analysis. The system predicts next-day S&P 500 ...
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, ...
Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly prevalent among adolescents and poses a significant public health challenge. Due to limitations in imaging and invasive diagnostic ...
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 ...
The financial services sector has always been one of the most heavily regulated industries in the world. From anti-money laundering (AML) directives to Know Your Customer (KYC) requirements, ...
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 ...
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