Jay Hoon Jung

According to our database, Jay Hoon Jung authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

An End-to-End Learning-Based Control Signal Prediction for Autonomous Robotic Colonoscopy.

Van Sy Nguyen, Bo-Hyun Hwang, Byungkyu Kim, Jay Hoon Jung

IEEE Access, 2024

2020

A Metric to Compare Pixel-Wise Interpretation Methods for Neural Networks.

Jay Hoon Jung, YoungMin Kwon

IEEE Access, 2020

Boundaries of Single-Class Regions in the Input Space of Piece-Wise Linear Neural Networks.

Jay Hoon Jung, YoungMin Kwon

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Color, Edge, and Pixel-wise Explanation of Predictions Based on Interpretable Neural Network Model.

Jay Hoon Jung, YoungMin Kwon

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

A Metric to Measure Contribution of Nodes in Neural Networks.

Jay Hoon Jung, Yousun Shin, YoungMin Kwon

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Quantitative Model Checking for a Resilient Control System.

Jay Hoon Jung, Eunhee Kim, YoungMin Kwon

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Robustness of Piece-Wise Linear Neural Network with Feasible Region Approaches.

Jay Hoon Jung, YoungMin Kwon

Proceedings of the Formal Methods and Software Engineering, 2019

2018

Extension of Convolutional Neural Network with General Image Processing Kernels.

Jay Hoon Jung, Yousun Shin, YoungMin Kwon

Proceedings of the TENCON 2018, 2018