1 citations · 1 across the 6 of their papers we have counts for
7 papers
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles
Richard Abhulimhen, Negash Begashaw, Gurcan Comert +2
Deep Neural Networks (DNNs) have demonstrated remarkable success across a wide range of tasks, particularly in fields such as image classification. However, DNNs are highly suscept…
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach
Chunheng Zhao, Pierluigi Pisu, Gurcan Comert +3
Deep learning-based discriminative classifiers, despite their remarkable success, remain vulnerable to adversarial examples that can mislead model predictions. While adversarial tr…
A Combinatorial Approach for Nonparametric Short-Term Estimation of Queue Lengths using Probe Vehicles
Gurcan Comert, Tewodros Amdeberhan, Negash Begashaw +1
Traffic state estimation plays an important role in facilitating effective traffic management. This study develops a combinatorial approach for nonparametric short-term queue lengt…
Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions
Gurcan Comert, Negash Begashaw, Negash G. Medhin
This paper presents Bayesian parameter estimation for first order Grey system models' parameters (or sometimes referred to as hyperparameters). There are different forms of first-o…
Improved Grey System Models for Predicting Traffic Parameters
Gurcan Comert, Negash Begashaw, Nathan Huynh
In transportation applications such as real-time route guidance, ramp metering, congestion pricing and special events traffic management, accurate short-term traffic flow predictio…
Cycle-to-Cycle Queue Length Estimation from Connected Vehicles with Filtering on Primary Parameters
Gurcan Comert, Negash Begashaw
Estimation models from connected vehicles often assume low level parameters such as arrival rates and market penetration rates as known or estimate them in real-time. At low market…
A Simple Traffic Signal Control Using Queue Length Information
Gurcan Comert, Mecit Cetin, Negash Begashaw
Developments in sensor technologies, especially emerging connected and autonomous vehicles, facilitate better queue length (QL) measurements on signalized intersection approaches i…