Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
S&P 500's forward 10-year returns are often misrepresented as tightly & negatively correlated with trailing P/E ratios. Read ...
Abstract: Deep learning-based approaches to metal artifact reduction have recently been proposed, yet these methods still struggle to effectively remove metal artifacts in head and neck computed ...
Significance Compared with adults who smoke cigarettes, adults who vape nicotine are exposed to similar levels of nicotine ...
FusionBench is a benchmark suite designed to evaluate the performance of various deep model fusion techniques. It aims to provide a comprehensive comparison of different methods on a variety of ...
This project investigates economic growth factors, specifically GDP, by applying ordinary least squares (OLS) and a more robust, proposed estimator. It includes data preparation, feature engineering ...
Abstract: Generally, estimates are subject to errors. For a general linear data model, we study conditions for guaranteed error-free best linear unbiased estimation (BLUE) without prior information in ...