IEEE

Dynamic Data Updates and Weight Optimization for Predicting Vulnerability Exploitability

Abstract: With the purpose of managing efficiency in a large number of published vulnerabilities, the time-intensive process requires significant effort and efficient vulnerability prioritization ...
Scientific Research Publishing

Alghamdi, M., Al-Mallah, M., Keteyian, S., Brawner, C., Ehrman, J. and Sakr, S. (2017) Predicting Diabetes Mellitus Using SMOTE and Ensemble Machine Learning Approach: The ...

ABSTRACT: This study investigates the application of cumulative link models with alternative distributions (hyperbolic secant, Laplace, and Cauchy) to model ordinal outcomes of depressive severity ...
Hacker

Predicting Jet Engine Failure with Python and AutoML

Dippu is a strategic Data & Analytics leader and thought leader in emerging solutions, including Computer Vision and Generative AI/LLMs. Dippu is a strategic Data & Analytics leader and thought leader ...
IEEE

Learning to Predict Mixed-Traffic Trajectories in Urban Scenarios from Little Training Data with Refined Environment Modeling

Abstract: Trajectory prediction for autonomous driving has been extensively studied using large-scale datasets from the US and Asia. These datasets typically have a strong bias toward predicting ...