2 citations · 5 across the 14 of their papers we have counts for
3 papers · 1 filter
Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis
Ferhat Ozgur Catak, Murat Kuzlu, Taylor Patrick
In recent years, vision-language models (VLMs) have been applied to various fields, including healthcare, education, finance, and manufacturing, with remarkable performance. Howeve…
Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication
Mina Cecilie Wøien, Ferhat Ozgur Catak, Murat Kuzlu +1
In recent years, neural networks have been used to implement symmetric cryptographic functions for secure communications. Extending this domain, the proposed approach explores the…
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis
Ferhat Ozgur Catak, Murat Kuzlu
Uncertainty quantification approaches have been more critical in large language models (LLMs), particularly high-risk applications requiring reliable outputs. However, traditional…