2 papers
cs.CV2025
Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models
Paul Calle, Averi Bates, Justin C. Reynolds +10
Background and Objectives: The variability and biases in the real-world performance benchmarking of deep learning models for medical imaging compromise their trustworthiness for re…
cs.SE2025
Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models
Averi Bates, Ryan Vavricka, Shane Carleton +2
The Unified Modeling Language is a standardized visual language widely used for modeling and documenting the design of software systems. Although many tools generate UML diagrams f…