Seok-Joo Byun

According to our database, Seok-Joo Byun authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data.

Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun

CoRR, November, 2025

Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss.

Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun

Proceedings of the International Joint Conference on Neural Networks, 2025

Statistical Robustness in Anomaly Detection with Hard Rejection and Adaptive Weighting.

Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun

Proceedings of the IEEE International Conference on Data Mining, 2025

Metric-Driven Similarity Indices: Redefining Spectral Distance Comparisons in Hyperspectral Data.

Jungkwon Kim, Jihoon Jung, Jungi Lee, Kwangsun Yoo, Seok-Joo Byun

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2025

Semi-Supervised Hyperspectral Food Anomaly Detection Through Batch-Wise Distribution Alignment.

Chi Zhang, Jungkwon Kim, Jeonghyeon Park, Kwangsun Yoo, Seok-Joo Byun

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Anomaly detection with hyperspectral imaging for food safety inspection.

Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun

Dataset, November, 2024

PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection.

Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun

IEEE Access, 2024

FastSimiFeat: A Fast and Generalized Approach Utilizing <i>k</i>-NN for Noisy Data Handling.

Jungi Lee, Hwiwoo Park, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024