Ferhat Catak

F. O. Catak, T. Yue and S. Ali

Uncertainty-Aware Prediction Validator in Deep Learning Models for Cyber-Physical System Data

ACM Transactions on Software Engineering and Methodology (TOSEM)

F. O. Catak and K. Sahinbas

Human-in-the-Loop Enhanced COVID-19 Detection in Transfer Learning-Based CNN Models

Computational Intelligence for COVID-19 and Future Pandemics

D. Unal, A. Al-Ali, F. O. Catak and M. Hammoudeh

A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption

Future Generation Computer Systems

E. Catak, F. O. Catak and A. Moldsvor

Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case

IEEE International Black Sea Conference on Communications and Networking

F. O. Catak, T. Yue and S. Ali

Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving

2021 IEEE International Conference on Artificial Intelligence Testing (AITest)

F. O. Catak, K. Sahinbas and V. Dörtkardeş

Artificial Intelligence Paradigms for Smart Cyber-Physical SystemsMalicious - URL Detection Using Machine Learning

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

K. Sahinbas and F. O. Catak

Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images

Data Science for COVID-19

F. O. Catak

Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving

The Third IEEE International Conference On Artificial Intelligence Testing