AZ Central

Interpretability in deep learning for finance: A case study for the Heston model

GA, UNITED KINGDOM, January 29, 2026 /EINPresswire.com/ — Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using ...
Nature

Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient

Early and accurate prediction of neurological outcomes in comatose patients following cardiac arrest is critical for informed clinical decision-making. Existing studies have predominantly focused on ...
Nature

Comparative assessment of machine learning models for polymer solution viscosity prediction in enhanced oil recovery

Polymer flooding is among the most researched and utilized methods to improve oil recovery. Polymer solution viscosity is the primary governing parameter that aids in lowering the mobility of the ...
Visual Studio Magazine

Predicting the Future Using Azure Machine Learning

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become central to scientific progress.