Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...
The study provides clear empirical evidence of a positive and statistically significant relationship between internal adoption of AI-enabled FinTech tools and bank performance across multiple ...
Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...
Discover top US software testing companies offering expert QA, automation, and scalable solutions. Learn how to pick trusted partners and boost quality ...
Use high-fidelity micro-conversions to tighten feedback loops, sharpen bidding, and keep long-cycle campaigns from drifting ...
A hybrid AI–human scoring system delivers expert-level accuracy in ulcerative colitis endoscopic assessment while reducing human review by 81 percent.
Rising prices and AI hype make SEO tools harder to justify. Learn to evaluate platforms, test workflows, and connect work to ...
Tech Xplore on MSN
Squashing 'fantastic bugs' hidden in AI benchmarks
After reviewing thousands of benchmarks used in AI development, a Stanford team found that 5% could have serious flaws with ...
Artificial Intelligence (AI) is rapidly transforming every stage of the employment cycle —from recruiting and selection ...
An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...
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